File size: 5,975 Bytes
9b19fd8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 | #include "unary-ops.h"
static inline float op_abs(float x) {
return fabsf(x);
}
static inline float op_sgn(float x) {
return (x > 0.f) ? 1.f : ((x < 0.f) ? -1.f : 0.f);
}
static inline float op_neg(float x) {
return -x;
}
static inline float op_step(float x) {
return (x > 0.f) ? 1.f : 0.f;
}
static inline float op_tanh(float x) {
return tanhf(x);
}
static inline float op_elu(float x) {
return (x > 0.f) ? x : expm1f(x);
}
static inline float op_relu(float x) {
return (x > 0.f) ? x : 0.f;
}
static inline float op_sigmoid(float x) {
return 1.f / (1.f + expf(-x));
}
static inline float op_hardsigmoid(float x) {
return fminf(1.0f, fmaxf(0.0f, (x + 3.0f) / 6.0f));
}
static inline float op_exp(float x) {
return expf(x);
}
static inline float op_hardswish(float x) {
return x * fminf(1.0f, fmaxf(0.0f, (x + 3.0f) / 6.0f));
}
static inline float op_sqr(float x) {
return x * x;
}
static inline float op_sqrt(float x) {
return sqrtf(x);
}
static inline float op_sin(float x) {
return sinf(x);
}
static inline float op_cos(float x) {
return cosf(x);
}
static inline float op_log(float x) {
return logf(x);
}
template <float (*op)(float), typename src0_t, typename dst_t>
static inline void vec_unary_op(int64_t n, dst_t * y, const src0_t * x) {
constexpr auto src0_to_f32 = type_conversion_table<src0_t>::to_f32;
constexpr auto f32_to_dst = type_conversion_table<dst_t >::from_f32;
for (int i = 0; i < n; i++) {
y[i] = f32_to_dst(op(src0_to_f32(x[i])));
}
}
template <float (*op)(float), typename src0_t, typename dst_t>
static void apply_unary_op(const ggml_compute_params * params, ggml_tensor * dst) {
const ggml_tensor * src0 = dst->src[0];
GGML_ASSERT(ggml_is_contiguous_1(src0) && ggml_is_contiguous_1(dst) && ggml_are_same_shape(src0, dst));
GGML_TENSOR_UNARY_OP_LOCALS
GGML_ASSERT( nb0 == sizeof(dst_t));
GGML_ASSERT(nb00 == sizeof(src0_t));
const auto [ir0, ir1] = get_thread_range(params, src0);
for (int64_t ir = ir0; ir < ir1; ++ir) {
const int64_t i03 = ir/(ne02*ne01);
const int64_t i02 = (ir - i03*ne02*ne01)/ne01;
const int64_t i01 = (ir - i03*ne02*ne01 - i02*ne01);
dst_t * dst_ptr = (dst_t *) ((char *) dst->data + i03*nb3 + i02*nb2 + i01*nb1 );
const src0_t * src0_ptr = (const src0_t *) ((const char *) src0->data + i03*nb03 + i02*nb02 + i01*nb01);
vec_unary_op<op>(ne0, dst_ptr, src0_ptr);
}
}
// TODO: Use the 'traits' lookup table (for type conversion fns), instead of a mass of 'if' conditions with long templates
template <float (*op)(float)>
static void unary_op(const ggml_compute_params * params, ggml_tensor * dst) {
const ggml_tensor * src0 = dst->src[0];
/* */ if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { // all f32
apply_unary_op<op, float, float>(params, dst);
} else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { // all f16
apply_unary_op<op, ggml_fp16_t, ggml_fp16_t>(params, dst);
} else if (src0->type == GGML_TYPE_BF16 && dst->type == GGML_TYPE_BF16) { // all bf16
apply_unary_op<op, ggml_bf16_t, ggml_bf16_t>(params, dst);
} else if (src0->type == GGML_TYPE_BF16 && dst->type == GGML_TYPE_F32) {
apply_unary_op<op, ggml_bf16_t, float>(params, dst);
} else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) {
apply_unary_op<op, ggml_fp16_t, float>(params, dst);
} else {
fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s\n", __func__,
ggml_type_name(dst->type), ggml_type_name(src0->type));
GGML_ABORT("fatal error");
}
}
void ggml_compute_forward_abs(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_abs>(params, dst);
}
void ggml_compute_forward_sgn(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_sgn>(params, dst);
}
void ggml_compute_forward_neg(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_neg>(params, dst);
}
void ggml_compute_forward_step(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_step>(params, dst);
}
void ggml_compute_forward_tanh(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_tanh>(params, dst);
}
void ggml_compute_forward_elu(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_elu>(params, dst);
}
void ggml_compute_forward_relu(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_relu>(params, dst);
}
void ggml_compute_forward_sigmoid(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_sigmoid>(params, dst);
}
void ggml_compute_forward_hardsigmoid(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_hardsigmoid>(params, dst);
}
void ggml_compute_forward_exp(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_exp>(params, dst);
}
void ggml_compute_forward_hardswish(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_hardswish>(params, dst);
}
void ggml_compute_forward_sqr(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_sqr>(params, dst);
}
void ggml_compute_forward_sqrt(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_sqrt>(params, dst);
}
void ggml_compute_forward_sin(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_sin>(params, dst);
}
void ggml_compute_forward_cos(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_cos>(params, dst);
}
void ggml_compute_forward_log(const ggml_compute_params * params, ggml_tensor * dst) {
unary_op<op_log>(params, dst);
}
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