// Project Moonlight: Generated Kernel
// Auto-synthesized by Ark Sovereign Engine
// Target: Wasm-GC / Wasm-Linear
// Version: 5.0.0 (The Beast)

package lib

// --- The Fundamental Truth ---
// "Speed is Safety."

// --- Dynamic Matrix: Float64 ---
struct Matrix_Float64 {
  rows : Int
  cols : Int
  data : Array[Float64]
}

pub fn Matrix_Float64::new(rows : Int, cols : Int) -> Matrix_Float64 {
  { rows, cols, data: Array::make(rows * cols, 0.0) }
}

pub fn get(self : Matrix_Float64, r : Int, c : Int) -> Float64 {
  self.data[r * self.cols + c]
}

pub fn set(self : Matrix_Float64, r : Int, c : Int, v : Float64) -> Unit {
  self.data[r * self.cols + c] = v
}

pub fn transpose(self : Matrix_Float64) -> Matrix_Float64 {
  let res = Matrix_Float64::new(self.cols, self.rows)
  for i = 0; i < self.rows; i = i + 1 {
    for j = 0; j < self.cols; j = j + 1 {
      res.set(j, i, self.get(i, j))
    }
  }
  res
}

// --- Dynamic Matrix: Int ---
struct Matrix_Int {
  rows : Int
  cols : Int
  data : Array[Int]
}

pub fn Matrix_Int::new(rows : Int, cols : Int) -> Matrix_Int {
  { rows, cols, data: Array::make(rows * cols, 0) }
}

pub fn get(self : Matrix_Int, r : Int, c : Int) -> Int {
  self.data[r * self.cols + c]
}

pub fn set(self : Matrix_Int, r : Int, c : Int, v : Int) -> Unit {
  self.data[r * self.cols + c] = v
}

pub fn transpose(self : Matrix_Int) -> Matrix_Int {
  let res = Matrix_Int::new(self.cols, self.rows)
  for i = 0; i < self.rows; i = i + 1 {
    for j = 0; j < self.cols; j = j + 1 {
      res.set(j, i, self.get(i, j))
    }
  }
  res
}

// --- Dynamic Matrix: Int64 ---
struct Matrix_Int64 {
  rows : Int
  cols : Int
  data : Array[Int64]
}

pub fn Matrix_Int64::new(rows : Int, cols : Int) -> Matrix_Int64 {
  { rows, cols, data: Array::make(rows * cols, 0L) }
}

pub fn get(self : Matrix_Int64, r : Int, c : Int) -> Int64 {
  self.data[r * self.cols + c]
}

pub fn set(self : Matrix_Int64, r : Int, c : Int, v : Int64) -> Unit {
  self.data[r * self.cols + c] = v
}

pub fn transpose(self : Matrix_Int64) -> Matrix_Int64 {
  let res = Matrix_Int64::new(self.cols, self.rows)
  for i = 0; i < self.rows; i = i + 1 {
    for j = 0; j < self.cols; j = j + 1 {
      res.set(j, i, self.get(i, j))
    }
  }
  res
}

// --- Fixed Matrix: Mat2x2 ---
struct Mat2x2 {
  m00 : Float64
  m01 : Float64
  m10 : Float64
  m11 : Float64

}

pub fn Mat2x2::identity() -> Mat2x2 {
  {
    m00 : 1.0,
    m01 : 0.0,
    m10 : 0.0,
    m11 : 1.0
  }
}

pub fn add(self : Mat2x2, other : Mat2x2) -> Mat2x2 {
  {
m00 : self.m00 + other.m00,
    m01 : self.m01 + other.m01,
    m10 : self.m10 + other.m10,
    m11 : self.m11 + other.m11
  }
}

pub fn mul(self : Mat2x2, other : Mat2x2) -> Mat2x2 {
  {
m00 : (self.m00 * other.m00) + (self.m01 * other.m10),
    m01 : (self.m00 * other.m01) + (self.m01 * other.m11),
    m10 : (self.m10 * other.m00) + (self.m11 * other.m10),
    m11 : (self.m10 * other.m01) + (self.m11 * other.m11)
  }
}

// --- Fixed Matrix: Mat3x3 ---
struct Mat3x3 {
  m00 : Float64
  m01 : Float64
  m02 : Float64
  m10 : Float64
  m11 : Float64
  m12 : Float64
  m20 : Float64
  m21 : Float64
  m22 : Float64

}

pub fn Mat3x3::identity() -> Mat3x3 {
  {
    m00 : 1.0,
    m01 : 0.0,
    m02 : 0.0,
    m10 : 0.0,
    m11 : 1.0,
    m12 : 0.0,
    m20 : 0.0,
    m21 : 0.0,
    m22 : 1.0
  }
}

pub fn add(self : Mat3x3, other : Mat3x3) -> Mat3x3 {
  {
m00 : self.m00 + other.m00,
    m01 : self.m01 + other.m01,
    m02 : self.m02 + other.m02,
    m10 : self.m10 + other.m10,
    m11 : self.m11 + other.m11,
    m12 : self.m12 + other.m12,
    m20 : self.m20 + other.m20,
    m21 : self.m21 + other.m21,
    m22 : self.m22 + other.m22
  }
}

pub fn mul(self : Mat3x3, other : Mat3x3) -> Mat3x3 {
  {
m00 : (self.m00 * other.m00) + (self.m01 * other.m10) + (self.m02 * other.m20),
    m01 : (self.m00 * other.m01) + (self.m01 * other.m11) + (self.m02 * other.m21),
    m02 : (self.m00 * other.m02) + (self.m01 * other.m12) + (self.m02 * other.m22),
    m10 : (self.m10 * other.m00) + (self.m11 * other.m10) + (self.m12 * other.m20),
    m11 : (self.m10 * other.m01) + (self.m11 * other.m11) + (self.m12 * other.m21),
    m12 : (self.m10 * other.m02) + (self.m11 * other.m12) + (self.m12 * other.m22),
    m20 : (self.m20 * other.m00) + (self.m21 * other.m10) + (self.m22 * other.m20),
    m21 : (self.m20 * other.m01) + (self.m21 * other.m11) + (self.m22 * other.m21),
    m22 : (self.m20 * other.m02) + (self.m21 * other.m12) + (self.m22 * other.m22)
  }
}

// --- Fixed Matrix: Mat4x4 ---
struct Mat4x4 {
  m00 : Float64
  m01 : Float64
  m02 : Float64
  m03 : Float64
  m10 : Float64
  m11 : Float64
  m12 : Float64
  m13 : Float64
  m20 : Float64
  m21 : Float64
  m22 : Float64
  m23 : Float64
  m30 : Float64
  m31 : Float64
  m32 : Float64
  m33 : Float64

}

pub fn Mat4x4::identity() -> Mat4x4 {
  {
    m00 : 1.0,
    m01 : 0.0,
    m02 : 0.0,
    m03 : 0.0,
    m10 : 0.0,
    m11 : 1.0,
    m12 : 0.0,
    m13 : 0.0,
    m20 : 0.0,
    m21 : 0.0,
    m22 : 1.0,
    m23 : 0.0,
    m30 : 0.0,
    m31 : 0.0,
    m32 : 0.0,
    m33 : 1.0
  }
}

pub fn add(self : Mat4x4, other : Mat4x4) -> Mat4x4 {
  {
m00 : self.m00 + other.m00,
    m01 : self.m01 + other.m01,
    m02 : self.m02 + other.m02,
    m03 : self.m03 + other.m03,
    m10 : self.m10 + other.m10,
    m11 : self.m11 + other.m11,
    m12 : self.m12 + other.m12,
    m13 : self.m13 + other.m13,
    m20 : self.m20 + other.m20,
    m21 : self.m21 + other.m21,
    m22 : self.m22 + other.m22,
    m23 : self.m23 + other.m23,
    m30 : self.m30 + other.m30,
    m31 : self.m31 + other.m31,
    m32 : self.m32 + other.m32,
    m33 : self.m33 + other.m33
  }
}

pub fn mul(self : Mat4x4, other : Mat4x4) -> Mat4x4 {
  {
m00 : (self.m00 * other.m00) + (self.m01 * other.m10) + (self.m02 * other.m20) + (self.m03 * other.m30),
    m01 : (self.m00 * other.m01) + (self.m01 * other.m11) + (self.m02 * other.m21) + (self.m03 * other.m31),
    m02 : (self.m00 * other.m02) + (self.m01 * other.m12) + (self.m02 * other.m22) + (self.m03 * other.m32),
    m03 : (self.m00 * other.m03) + (self.m01 * other.m13) + (self.m02 * other.m23) + (self.m03 * other.m33),
    m10 : (self.m10 * other.m00) + (self.m11 * other.m10) + (self.m12 * other.m20) + (self.m13 * other.m30),
    m11 : (self.m10 * other.m01) + (self.m11 * other.m11) + (self.m12 * other.m21) + (self.m13 * other.m31),
    m12 : (self.m10 * other.m02) + (self.m11 * other.m12) + (self.m12 * other.m22) + (self.m13 * other.m32),
    m13 : (self.m10 * other.m03) + (self.m11 * other.m13) + (self.m12 * other.m23) + (self.m13 * other.m33),
    m20 : (self.m20 * other.m00) + (self.m21 * other.m10) + (self.m22 * other.m20) + (self.m23 * other.m30),
    m21 : (self.m20 * other.m01) + (self.m21 * other.m11) + (self.m22 * other.m21) + (self.m23 * other.m31),
    m22 : (self.m20 * other.m02) + (self.m21 * other.m12) + (self.m22 * other.m22) + (self.m23 * other.m32),
    m23 : (self.m20 * other.m03) + (self.m21 * other.m13) + (self.m22 * other.m23) + (self.m23 * other.m33),
    m30 : (self.m30 * other.m00) + (self.m31 * other.m10) + (self.m32 * other.m20) + (self.m33 * other.m30),
    m31 : (self.m30 * other.m01) + (self.m31 * other.m11) + (self.m32 * other.m21) + (self.m33 * other.m31),
    m32 : (self.m30 * other.m02) + (self.m31 * other.m12) + (self.m32 * other.m22) + (self.m33 * other.m32),
    m33 : (self.m30 * other.m03) + (self.m31 * other.m13) + (self.m32 * other.m23) + (self.m33 * other.m33)
  }
}

// --- Vector: Vec2 ---
struct Vec2 {
  x : Float64
  y : Float64
}

pub fn Vec2::new(x : Float64, y : Float64) -> Vec2 {
  { x, y }
}

pub fn dot(self : Vec2, other : Vec2) -> Float64 {
  self.x * other.x + self.y * other.y
}

pub fn normalize(self : Vec2) -> Vec2 {
  let len = (self.dot(self)).sqrt()
  if len == 0.0 {
     self 
  } else {
     { x : self.x / len, y : self.y / len }
  }
}

// --- Vector: Vec3 ---
struct Vec3 {
  x : Float64
  y : Float64
  z : Float64
}

pub fn Vec3::new(x : Float64, y : Float64, z : Float64) -> Vec3 {
  { x, y, z }
}

pub fn dot(self : Vec3, other : Vec3) -> Float64 {
  self.x * other.x + self.y * other.y + self.z * other.z
}

pub fn normalize(self : Vec3) -> Vec3 {
  let len = (self.dot(self)).sqrt()
  if len == 0.0 {
     self 
  } else {
     { x : self.x / len, y : self.y / len, z : self.z / len }
  }
}

// --- Vector: Vec4 ---
struct Vec4 {
  x : Float64
  y : Float64
  z : Float64
  w : Float64
}

pub fn Vec4::new(x : Float64, y : Float64, z : Float64, w : Float64) -> Vec4 {
  { x, y, z, w }
}

pub fn dot(self : Vec4, other : Vec4) -> Float64 {
  self.x * other.x + self.y * other.y + self.z * other.z + self.w * other.w
}

pub fn normalize(self : Vec4) -> Vec4 {
  let len = (self.dot(self)).sqrt()
  if len == 0.0 {
     self 
  } else {
     { x : self.x / len, y : self.y / len, z : self.z / len, w : self.w / len }
  }
}

pub fn kernel_v1_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v1_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v1_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v2_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v2_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v3_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v3_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v4_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v4_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v5_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v5_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v6_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v6_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v7_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v7_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v8_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v8_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v9_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v9_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v10_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v10_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v11_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v11_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v12_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v12_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v13_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v13_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v14_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v14_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v15_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v15_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v16_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v16_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v17_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v17_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v18_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v18_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v19_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v19_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v20_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v20_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v21_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v21_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v22_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v22_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v23_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v23_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v24_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v24_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v25_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v25_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v26_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v26_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v27_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v27_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v28_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v28_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v29_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v29_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v30_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v30_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v31_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v31_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v32_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v32_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v33_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v33_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v34_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v34_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v35_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v35_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v36_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v36_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v37_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v37_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v38_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v38_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v39_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v39_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v40_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v40_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v41_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v41_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v42_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v42_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v43_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v43_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v44_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v44_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v45_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v45_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v46_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v46_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v47_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v47_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v48_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v48_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v49_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v49_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v50_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v50_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v51_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v51_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v52_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v52_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v53_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v53_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v54_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v54_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v55_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v55_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v56_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v56_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v57_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v57_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v58_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v58_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v59_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v59_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v60_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v60_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v61_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v61_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v62_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v62_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v63_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v63_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v64_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v64_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v65_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v65_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v66_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v66_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v67_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v67_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v68_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v68_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v69_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v69_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v70_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v70_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v71_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v71_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v72_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v72_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v73_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v73_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v74_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v74_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v75_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v75_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v76_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v76_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v77_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v77_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v78_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v78_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v79_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v79_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v80_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v80_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v81_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v81_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v82_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v82_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v83_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v83_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v84_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v84_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v85_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v85_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v86_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v86_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v87_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v87_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v88_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v88_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v89_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v89_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v90_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v90_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v91_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v91_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v92_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v92_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v93_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v93_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v94_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v94_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v95_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v95_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v96_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v96_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v97_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v97_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v98_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v98_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v99_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v99_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v100_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v100_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v101_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v101_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v102_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v102_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v103_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v103_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v104_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v104_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v105_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v105_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v106_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v106_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v107_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v107_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v108_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v108_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v109_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v109_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v110_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v110_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v111_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v111_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v112_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v112_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v113_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v113_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v114_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v114_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v115_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v115_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v116_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v116_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v117_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v117_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v118_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v118_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v119_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v119_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v120_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v120_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v121_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v121_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v122_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v122_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v123_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v123_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v124_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v124_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v125_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v125_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v126_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v126_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v127_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v127_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v128_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v128_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v129_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v129_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v130_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v130_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v131_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v131_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v132_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v132_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v133_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v133_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v134_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v134_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v135_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v135_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v136_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v136_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v137_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v137_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v138_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v138_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v139_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v139_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v140_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v140_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v141_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v141_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v142_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v142_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v143_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v143_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v144_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v144_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v145_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v145_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v146_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v146_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v147_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v147_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v148_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v148_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v149_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v149_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_add_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_add_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_add_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_sub_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_sub_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_sub_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_mul_scalar_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_mul_scalar_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_mul_scalar_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_apply_sigmoid_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_sigmoid_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_sigmoid_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_relu_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_relu_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_relu_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_tanh_safe(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: safe
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_tanh_fast(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: fast
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_tanh_unchecked(self : Matrix_Float64) -> Matrix_Float64 {

  // Variant: unchecked
  let res = Matrix_Float64::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_add_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_add_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_add_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_sub_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_sub_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_sub_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_mul_scalar_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_mul_scalar_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_mul_scalar_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  // Loop unrolling simulation
  for i = 0; i < self.rows * self.cols; i = i + 1 {
     res.data[i] = self.data[i]
  }
  res

}

pub fn kernel_v150_apply_sigmoid_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_sigmoid_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_sigmoid_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_relu_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_relu_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_relu_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_tanh_safe(self : Matrix_Int) -> Matrix_Int {

  // Variant: safe
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_tanh_fast(self : Matrix_Int) -> Matrix_Int {

  // Variant: fast
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}

pub fn kernel_v150_apply_tanh_unchecked(self : Matrix_Int) -> Matrix_Int {

  // Variant: unchecked
  let res = Matrix_Int::new(self.rows, self.cols)
  for i = 0; i < self.rows * self.cols; i = i + 1 {
    res.data[i] = self.data[i] // Mock operation logic for volume
  }
  res

}