Add files using upload-large-folder tool

37fb1c7 verified 4 months ago

5.13 kB

/***************************************************************************************************
 * Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: BSD-3-Clause
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 * 1. Redistributions of source code must retain the above copyright notice, this
 * list of conditions and the following disclaimer.
 *
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 * this list of conditions and the following disclaimer in the documentation
 * and/or other materials provided with the distribution.
 *
 * 3. Neither the name of the copyright holder nor the names of its
 * contributors may be used to endorse or promote products derived from
 * this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
 * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 **************************************************************************************************/
/*! \file
  \brief Defines structures and helpers to launch CUDA kernels within CUTLASS.
*/

#pragma once

#include <cuda_runtime_api.h>
#include "cutlass/cutlass.h"
#include "cutlass/trace.h"
#include "cutlass/device_kernel.h" // cutlass::device_kernel

namespace cutlass {

///////////////////////////////////////////////////////////////////////////////////////////////////

/// Structure containing the basic launch configuration of a CUDA kernel.
struct KernelLaunchConfiguration {

  /// CUDA grid dimensions
  dim3 grid;

  /// CUDA threablock dimensions
  dim3 block;

  /// Bytes of dynamically allocated SMEM in addition to static SMEM
  size_t dynamic_smem;

  //
  // Methods
  //

  /// Constructs a KernellaunchConfiguration object
  CUTLASS_HOST_DEVICE
  KernelLaunchConfiguration(
    dim3 _grid = dim3(1,1,1),
    dim3 _block = dim3(1,1,1),
    size_t _dynamic_smem = 0
  ):
    grid(_grid),
    block(_block),
    dynamic_smem(_dynamic_smem) { }
};


template <typename GemmKernel, typename Params>
Status kernel_launch(
    dim3 const grid_dims,
    dim3 const block_dims,
    size_t const smem_size,
    cudaStream_t cuda_stream,
    const Params &kernel_params,
    bool launch_with_pdl) {
#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
  CUTLASS_TRACE_HOST("cutlass::kernel_launch");
#endif

  if (not launch_with_pdl) {
#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
    CUTLASS_TRACE_HOST("cutlass::kernel_launch: No PDL");
#endif
    device_kernel<GemmKernel><<<grid_dims, block_dims, smem_size, cuda_stream>>>(kernel_params);
  }
  else {
#if ((__CUDACC_VER_MAJOR__ >= 12) || ((__CUDACC_VER_MAJOR__ == 11) && (__CUDACC_VER_MINOR__ >= 8)))
    if constexpr (GemmKernel::ArchTag::kMinComputeCapability < 90) {
      CUTLASS_TRACE_HOST("  Programmatic dependent launch (PDL) is only supported for SM90.");
      return Status::kInvalid;
    }

    cudaLaunchConfig_t config;
    cudaLaunchAttribute attrs[1];

    config.gridDim = grid_dims;
    config.blockDim = block_dims;
    config.dynamicSmemBytes = smem_size;
    config.stream = cuda_stream;

    config.attrs = attrs;
    attrs[0].id = cudaLaunchAttributeProgrammaticStreamSerialization;
    attrs[0].val.programmaticStreamSerializationAllowed = 1;
    config.numAttrs = 1;

#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
    CUTLASS_TRACE_HOST("cutlass::kernel_launch: Calling cudaLaunchKernelEx");
#endif
    cudaError_t launch_result = cudaLaunchKernelEx(&config, &device_kernel<GemmKernel>, kernel_params);
    if (cudaSuccess != launch_result) {
      CUTLASS_TRACE_HOST("cutlass::kernel_launch: cudaLaunchKernelEx failed with error: " << cudaGetErrorString(launch_result));
      return Status::kErrorInternal;
    }
#else
    CUTLASS_TRACE_HOST("  Programmatic dependent launch (PDL) is only supported starting CUDA 11.8.");
    return Status::kInvalid;
#endif
  }

  cudaError_t result = cudaGetLastError();
  if (cudaSuccess == result) {
#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
    CUTLASS_TRACE_HOST("cutlass::kernel_launch: cudaGetLastError reports success");
#endif
    return Status::kSuccess;
  }
  else {
    CUTLASS_TRACE_HOST("  Kernel launch failed. Reason: " << result);
    return Status::kErrorInternal;
  }
}

///////////////////////////////////////////////////////////////////////////////////////////////////

} // namespace cutlass

	/***************************************************************************************************
	* Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
	* SPDX-License-Identifier: BSD-3-Clause
	*
	* Redistribution and use in source and binary forms, with or without
	* modification, are permitted provided that the following conditions are met:
	*
	* 1. Redistributions of source code must retain the above copyright notice, this
	* list of conditions and the following disclaimer.
	*
	* 2. Redistributions in binary form must reproduce the above copyright notice,
	* this list of conditions and the following disclaimer in the documentation
	* and/or other materials provided with the distribution.
	*
	* 3. Neither the name of the copyright holder nor the names of its
	* contributors may be used to endorse or promote products derived from
	* this software without specific prior written permission.
	*
	* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
	* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
	* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
	* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
	* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
	* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
	* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
	* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
	* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
	* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
	*
	**************************************************************************************************/
	/*! \file
	\brief Defines structures and helpers to launch CUDA kernels within CUTLASS.
	*/

	#pragma once

	#include <cuda_runtime_api.h>
	#include "cutlass/cutlass.h"
	#include "cutlass/trace.h"
	#include "cutlass/device_kernel.h" // cutlass::device_kernel

	namespace cutlass {

	///////////////////////////////////////////////////////////////////////////////////////////////////

	/// Structure containing the basic launch configuration of a CUDA kernel.
	struct KernelLaunchConfiguration {

	/// CUDA grid dimensions
	dim3 grid;

	/// CUDA threablock dimensions
	dim3 block;

	/// Bytes of dynamically allocated SMEM in addition to static SMEM
	size_t dynamic_smem;

	//
	// Methods
	//

	/// Constructs a KernellaunchConfiguration object
	CUTLASS_HOST_DEVICE
	KernelLaunchConfiguration(
	dim3 _grid = dim3(1,1,1),
	dim3 _block = dim3(1,1,1),
	size_t _dynamic_smem = 0
	):
	grid(_grid),
	block(_block),
	dynamic_smem(_dynamic_smem) { }
	};


	template <typename GemmKernel, typename Params>
	Status kernel_launch(
	dim3 const grid_dims,
	dim3 const block_dims,
	size_t const smem_size,
	cudaStream_t cuda_stream,
	const Params &kernel_params,
	bool launch_with_pdl) {
	#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
	CUTLASS_TRACE_HOST("cutlass::kernel_launch");
	#endif

	if (not launch_with_pdl) {
	#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
	CUTLASS_TRACE_HOST("cutlass::kernel_launch: No PDL");
	#endif
	device_kernel<GemmKernel><<<grid_dims, block_dims, smem_size, cuda_stream>>>(kernel_params);
	}
	else {
	#if ((__CUDACC_VER_MAJOR__ >= 12) \|\| ((__CUDACC_VER_MAJOR__ == 11) && (__CUDACC_VER_MINOR__ >= 8)))
	if constexpr (GemmKernel::ArchTag::kMinComputeCapability < 90) {
	CUTLASS_TRACE_HOST(" Programmatic dependent launch (PDL) is only supported for SM90.");
	return Status::kInvalid;
	}

	cudaLaunchConfig_t config;
	cudaLaunchAttribute attrs[1];

	config.gridDim = grid_dims;
	config.blockDim = block_dims;
	config.dynamicSmemBytes = smem_size;
	config.stream = cuda_stream;

	config.attrs = attrs;
	attrs[0].id = cudaLaunchAttributeProgrammaticStreamSerialization;
	attrs[0].val.programmaticStreamSerializationAllowed = 1;
	config.numAttrs = 1;

	#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
	CUTLASS_TRACE_HOST("cutlass::kernel_launch: Calling cudaLaunchKernelEx");
	#endif
	cudaError_t launch_result = cudaLaunchKernelEx(&config, &device_kernel<GemmKernel>, kernel_params);
	if (cudaSuccess != launch_result) {
	CUTLASS_TRACE_HOST("cutlass::kernel_launch: cudaLaunchKernelEx failed with error: " << cudaGetErrorString(launch_result));
	return Status::kErrorInternal;
	}
	#else
	CUTLASS_TRACE_HOST(" Programmatic dependent launch (PDL) is only supported starting CUDA 11.8.");
	return Status::kInvalid;
	#endif
	}

	cudaError_t result = cudaGetLastError();
	if (cudaSuccess == result) {
	#if (CUTLASS_DEBUG_TRACE_LEVEL > 1)
	CUTLASS_TRACE_HOST("cutlass::kernel_launch: cudaGetLastError reports success");
	#endif
	return Status::kSuccess;
	}
	else {
	CUTLASS_TRACE_HOST(" Kernel launch failed. Reason: " << result);
	return Status::kErrorInternal;
	}
	}

	///////////////////////////////////////////////////////////////////////////////////////////////////

	} // namespace cutlass