CUTLASS 2.4 (Implicit GEMM convolution) (#147)
CUTLASS 2.4 (Implicit GEMM Convolution) Co-authored-by: Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
This commit is contained in:
Manish Gupta
co-authored by
Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
parent
c2b80ad4e4
commit
6615010cd0
@@ -0,0 +1,57 @@
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/***************************************************************************************************
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* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
|
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* * Redistributions of source code must retain the above copyright notice, this list of
|
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* conditions and the following disclaimer.
|
||||
* * Redistributions in binary form must reproduce the above copyright notice, this list of
|
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* conditions and the following disclaimer in the documentation and/or other materials
|
||||
* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
||||
* to endorse or promote products derived from this software without specific prior written
|
||||
* permission.
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*
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||||
* 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 NVIDIA CORPORATION BE LIABLE
|
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/* \file
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\brief Initialize operations for reduction operation in CUTLASS Library.
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*/
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#include "cutlass/cutlass.h"
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#include "cutlass/library/library.h"
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#include "cutlass/library/manifest.h"
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namespace cutlass {
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namespace library {
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///////////////////////////////////////////////////////////////////////////////////////////////
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// CUTLASS Reduction Instances //
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///////////////////////////////////////////////////////////////////////////////////////////////
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void initialize_reduce_add_linear_combination_f32_f32_f16(Manifest &manifest);
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void initialize_reduce_add_linear_combination_f32_f32_f32(Manifest &manifest);
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void initialize_reduce_add_linear_combination_cf32_cf32_cf32(Manifest &manifest);
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//
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// Entry point to construct operations
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//
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void initialize_all_reduction_op(Manifest &manifest) {
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initialize_reduce_add_linear_combination_f32_f32_f16(manifest);
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initialize_reduce_add_linear_combination_f32_f32_f32(manifest);
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initialize_reduce_add_linear_combination_cf32_cf32_cf32(manifest);
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace library
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} // namespace cutlass
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@@ -0,0 +1,145 @@
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/***************************************************************************************************
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* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
|
||||
* * Redistributions of source code must retain the above copyright notice, this list of
|
||||
* conditions and the following disclaimer.
|
||||
* * 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.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
||||
* to endorse or promote products derived from this software without specific prior written
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||||
* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/* \file
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\brief Defines operations for reduction operation in CUTLASS Library.
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*/
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#include "cutlass/cutlass.h"
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#include "cutlass/library/library.h"
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#include "cutlass/library/manifest.h"
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#include "reduction_operation.h"
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namespace cutlass {
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namespace library {
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// naming convention initialize_reduce_[ReductionOp]_[EpilogueOp]_[ElementWorkspace]_[ElementAccumulator]_[ElementOutput]
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void initialize_reduce_add_linear_combination_f32_f32_f16(Manifest &manifest) {
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using ElementWorkspace = float;
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using ElementAccumulator = float;
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using ElementOutput = cutlass::half_t;
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using ElementCompute = float;
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using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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128 / cutlass::sizeof_bits<ElementOutput>::value,
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ElementAccumulator,
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ElementCompute
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>;
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using ReductionOp = cutlass::reduction::thread::ReduceAdd<
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ElementAccumulator,
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typename EpilogueOutputOp::ElementAccumulator,
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EpilogueOutputOp::kCount
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>;
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using Operation_reduce_add_linear_combination_f32_f32_f16 = cutlass::reduction::device::ReduceSplitK<
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cutlass::reduction::kernel::ReduceSplitK<
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cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
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EpilogueOutputOp,
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ReductionOp
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>
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>;
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manifest.append(new ReductionOperation<
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Operation_reduce_add_linear_combination_f32_f32_f16>(
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"reduce_add_linear_combination_f32_f32_f16"
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));
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}
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void initialize_reduce_add_linear_combination_f32_f32_f32(Manifest &manifest) {
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using ElementWorkspace = float;
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using ElementAccumulator = float;
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using ElementOutput = float;
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using ElementCompute = float;
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using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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128 / cutlass::sizeof_bits<ElementOutput>::value,
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ElementAccumulator,
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ElementCompute
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>;
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using ReductionOp = cutlass::reduction::thread::ReduceAdd<
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ElementAccumulator,
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typename EpilogueOutputOp::ElementAccumulator,
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EpilogueOutputOp::kCount
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>;
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using Operation_reduce_add_linear_combination_f32_f32_f32 = cutlass::reduction::device::ReduceSplitK<
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cutlass::reduction::kernel::ReduceSplitK<
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cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
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EpilogueOutputOp,
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ReductionOp
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>
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>;
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manifest.append(new ReductionOperation<
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Operation_reduce_add_linear_combination_f32_f32_f32>(
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"reduce_add_linear_combination_f32_f32_f32"
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));
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}
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void initialize_reduce_add_linear_combination_cf32_cf32_cf32(Manifest &manifest) {
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using ElementWorkspace = cutlass::complex<float>;
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using ElementAccumulator = cutlass::complex<float>;
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using ElementOutput = cutlass::complex<float>;
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using ElementCompute = cutlass::complex<float>;
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using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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128 / cutlass::sizeof_bits<ElementOutput>::value,
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ElementAccumulator,
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ElementCompute
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>;
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using ReductionOp = cutlass::reduction::thread::ReduceAdd<
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ElementAccumulator,
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typename EpilogueOutputOp::ElementAccumulator,
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EpilogueOutputOp::kCount
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>;
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using Operation_reduce_add_linear_combination_cf32_cf32_cf32 = cutlass::reduction::device::ReduceSplitK<
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cutlass::reduction::kernel::ReduceSplitK<
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cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
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EpilogueOutputOp,
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ReductionOp
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>
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>;
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manifest.append(new ReductionOperation<
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Operation_reduce_add_linear_combination_cf32_cf32_cf32>(
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"reduce_add_linear_combination_cf32_cf32_cf32"
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));
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}
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}
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}
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@@ -0,0 +1,282 @@
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/***************************************************************************************************
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* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
|
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* provided that the following conditions are met:
|
||||
* * Redistributions of source code must retain the above copyright notice, this list of
|
||||
* conditions and the following disclaimer.
|
||||
* * 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.
|
||||
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
||||
* to endorse or promote products derived from this software without specific prior written
|
||||
* permission.
|
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*
|
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* 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 NVIDIA CORPORATION 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;
|
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
|
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/* \file
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\brief Defines operations for reduction operation in CUTLASS Library.
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*/
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#pragma once
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#include <iostream>
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#include "cutlass/cutlass.h"
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#include "cutlass/epilogue/thread/linear_combination.h"
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#include "cutlass/reduction/thread/reduction_operators.h"
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#include "cutlass/reduction/device/reduce_split_k.h"
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#include "cutlass/library/library.h"
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#include "library_internal.h"
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#include "cutlass/core_io.h"
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///////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace library {
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///////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename Operator_>
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class ReductionOperation : public Operation {
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public:
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using Operator = Operator_;
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using ElementWorkspace = typename Operator::ElementWorkspace;
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using ElementAccumulator = typename Operator::ElementAccumulator;
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using ElementOutput = typename Operator::ElementOutput;
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using ElementCompute = typename Operator::OutputOp::ElementCompute;
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using OperatorArguments = typename Operator::Arguments;
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protected:
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///
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ReductionDescription description_;
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public:
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/// Constructor
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ReductionOperation(char const *name = "unknown_reduction") {
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description_.name = name;
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description_.provider = Provider::kCUTLASS;
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description_.kind = OperationKind::kReduction;
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description_.tile_description.threadblock_shape = make_Coord(Operator::Shape::kRow, Operator::Shape::kColumn, 1);
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description_.tile_description.math_instruction.instruction_shape = make_Coord(1, 1, 1);
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description_.tile_description.math_instruction.element_accumulator = NumericTypeMap<ElementAccumulator>::kId;
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description_.tile_description.math_instruction.opcode_class = OpcodeClassID::kSimt;
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description_.tile_description.math_instruction.math_operation = MathOperationID::kAdd;
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description_.tile_description.minimum_compute_capability = 50;
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description_.tile_description.maximum_compute_capability = 1024;
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description_.element_workspace = NumericTypeMap<ElementWorkspace>::kId;
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description_.element_output = NumericTypeMap<ElementOutput>::kId;
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description_.element_epilogue = NumericTypeMap<ElementCompute>::kId;
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}
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/// Returns the description of the Reduction operation
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virtual OperationDescription const & description() const {
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return description_;
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}
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protected:
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/// Constructs the arguments structure given the configuration and arguments
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static Status construct_arguments_(
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OperatorArguments &operator_args,
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ReductionConfiguration const *configuration) {
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operator_args.problem_size = configuration->problem_size;
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operator_args.partitions = configuration->partitions;
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operator_args.partition_stride = configuration->partition_stride;
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operator_args.workspace = {nullptr, int(configuration->ldw)};
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operator_args.source = {nullptr, int(configuration->lds)};
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operator_args.destination = {nullptr, int(configuration->ldd)};
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return Status::kSuccess;
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}
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/// Constructs the arguments structure given the configuration and arguments
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static Status update_arguments_(
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OperatorArguments &operator_args,
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ReductionArguments const *arguments) {
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if (arguments->pointer_mode == ScalarPointerMode::kHost) {
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typename Operator::OutputOp::Params params(
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*static_cast<ElementCompute const *>(arguments->alpha),
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*static_cast<ElementCompute const *>(arguments->beta)
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);
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operator_args.output = params;
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}
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else if (arguments->pointer_mode == ScalarPointerMode::kDevice){
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typename Operator::OutputOp::Params params(
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static_cast<ElementCompute const *>(arguments->alpha),
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static_cast<ElementCompute const *>(arguments->beta)
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);
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operator_args.output = params;
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}
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else {
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return Status::kErrorInvalidProblem;
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}
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operator_args.workspace.reset(static_cast<ElementWorkspace *>(const_cast<void *>(arguments->workspace)));
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operator_args.source.reset(static_cast<ElementOutput *>(const_cast<void *>(arguments->source)));
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operator_args.destination.reset(static_cast<ElementOutput *>(const_cast<void *>(arguments->destination)));
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return Status::kSuccess;
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}
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public:
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/// Returns success if the operation can proceed
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virtual Status can_implement(
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void const *configuration_ptr,
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void const *arguments_ptr) const {
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ReductionConfiguration const *configuration =
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static_cast<ReductionConfiguration const *>(configuration_ptr);
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ReductionArguments const *arguments =
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static_cast<ReductionArguments const *>(arguments_ptr);
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OperatorArguments args;
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Status status = construct_arguments_(args, configuration);
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if (status != Status::kSuccess) {
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return status;
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}
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status = update_arguments_(args, arguments);
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if (status != Status::kSuccess) {
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return status;
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}
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return Operator::can_implement(args);
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}
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/// Gets the host-side workspace
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virtual uint64_t get_host_workspace_size(
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void const *configuration) const {
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return sizeof(Operator);
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}
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/// Gets the device-side workspace
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virtual uint64_t get_device_workspace_size(
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void const *configuration_ptr) const {
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OperatorArguments args;
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Status status = construct_arguments_(
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args,
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static_cast<ReductionConfiguration const *>(configuration_ptr));
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if (status != Status::kSuccess) {
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return 0;
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}
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return Operator::get_workspace_size(args);
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}
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/// Initializes the workspace
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virtual Status initialize(
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void const *configuration_ptr,
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void *host_workspace,
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void *device_workspace,
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cudaStream_t stream = nullptr) const {
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OperatorArguments args;
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Status status = construct_arguments_(
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args,
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static_cast<ReductionConfiguration const *>(configuration_ptr));
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if (status != Status::kSuccess) {
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return status;
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}
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Operator *op = new (host_workspace) Operator;
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//std::cout << "initialize library::Reduction" << std::endl;
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//print_operator_args(args);
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return op->initialize(args, device_workspace, stream);
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}
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/// Runs the kernel
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virtual Status run(
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void const *arguments_ptr,
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void *host_workspace,
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void *device_workspace = nullptr,
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cudaStream_t stream = nullptr) const {
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OperatorArguments args;
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Status status = update_arguments_(
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args,
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static_cast<ReductionArguments const *>(arguments_ptr));
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if (status != Status::kSuccess) {
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return status;
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}
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Operator *op = static_cast<Operator *>(host_workspace);
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status = op->update(args, device_workspace);
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if (status != Status::kSuccess) {
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return status;
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}
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//std::cout << "run library::Reduction" << std::endl;
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//print_operator_args(args);
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return op->run(stream);
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}
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/// Call print_operator_args from the Reduction::initialize()
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// to dump arguments passed on to cutlass operator for debugging
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void print_operator_args(OperatorArguments &operator_args) const {
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std::cout << "Reduction::OperatorArguments" << std::endl
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<< " problem_size: "
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<< operator_args.problem_size << std::endl
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<< " partitions: "
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<< operator_args.partitions << std::endl
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<< " partition_stride: "
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<< operator_args.partition_stride << std::endl
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<< " epilouge (alpha, beta): "
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<< operator_args.output.alpha << ", "
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<< operator_args.output.beta << std::endl
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<< " workspace (ptr, stride): "
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<< operator_args.workspace.data() << ", "
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<< operator_args.workspace.stride(0) << std::endl
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<< " source (ptr, stride): "
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<< operator_args.source.data() << ", "
|
||||
<< operator_args.source.stride(0) << std::endl
|
||||
<< " destination (ptr, stride): "
|
||||
<< operator_args.destination.data() << ", "
|
||||
<< operator_args.destination.stride(0) << std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
} // namespace library
|
||||
} // namespace cutlass
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
Reference in New Issue
Block a user