cutlass/tools/library/src/reduction/reduction_device.cu

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/***************************************************************************************************
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* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
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* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
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* 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 operations for reduction operation in CUTLASS Library.
*/
#include "cutlass/cutlass.h"
#include "cutlass/library/library.h"
#include "cutlass/library/manifest.h"
#include "reduction_operation.h"
namespace cutlass {
namespace library {
// naming convention initialize_reduce_[ReductionOp]_[EpilogueOp]_[ElementWorkspace]_[ElementAccumulator]_[ElementOutput]
void initialize_reduce_add_linear_combination_f32_f32_f16(Manifest &manifest) {
using ElementWorkspace = float;
using ElementAccumulator = float;
using ElementOutput = cutlass::half_t;
using ElementCompute = float;
using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
128 / cutlass::sizeof_bits<ElementWorkspace>::value,
ElementAccumulator,
ElementCompute
>;
using ReductionOp = cutlass::reduction::thread::ReduceAdd<
ElementAccumulator,
typename EpilogueOutputOp::ElementAccumulator,
EpilogueOutputOp::kCount
>;
using Operation_reduce_add_linear_combination_f32_f32_f16 = cutlass::reduction::device::ReduceSplitK<
cutlass::reduction::kernel::ReduceSplitK<
cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
EpilogueOutputOp,
ReductionOp
>
>;
manifest.append(new ReductionOperation<
Operation_reduce_add_linear_combination_f32_f32_f16>(
"reduce_add_linear_combination_f32_f32_f16"
));
}
void initialize_reduce_add_linear_combination_f32_f32_f32(Manifest &manifest) {
using ElementWorkspace = float;
using ElementAccumulator = float;
using ElementOutput = float;
using ElementCompute = float;
using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
128 / cutlass::sizeof_bits<ElementWorkspace>::value,
ElementAccumulator,
ElementCompute
>;
using ReductionOp = cutlass::reduction::thread::ReduceAdd<
ElementAccumulator,
typename EpilogueOutputOp::ElementAccumulator,
EpilogueOutputOp::kCount
>;
using Operation_reduce_add_linear_combination_f32_f32_f32 = cutlass::reduction::device::ReduceSplitK<
cutlass::reduction::kernel::ReduceSplitK<
cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
EpilogueOutputOp,
ReductionOp
>
>;
manifest.append(new ReductionOperation<
Operation_reduce_add_linear_combination_f32_f32_f32>(
"reduce_add_linear_combination_f32_f32_f32"
));
}
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void initialize_reduce_add_linear_combination_f64_f64_f64(Manifest &manifest) {
using ElementWorkspace = double;
using ElementAccumulator = double;
using ElementOutput = double;
using ElementCompute = double;
using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
128 / cutlass::sizeof_bits<ElementWorkspace>::value,
ElementAccumulator,
ElementCompute
>;
using ReductionOp = cutlass::reduction::thread::ReduceAdd<
ElementAccumulator,
typename EpilogueOutputOp::ElementAccumulator,
EpilogueOutputOp::kCount
>;
using Operation_reduce_add_linear_combination_f64_f64_f64 = cutlass::reduction::device::ReduceSplitK<
cutlass::reduction::kernel::ReduceSplitK<
cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
EpilogueOutputOp,
ReductionOp
>
>;
manifest.append(new ReductionOperation<
Operation_reduce_add_linear_combination_f64_f64_f64>(
"reduce_add_linear_combination_f64_f64_f64"
));
}
void initialize_reduce_add_linear_combination_cf32_cf32_cf32(Manifest &manifest) {
using ElementWorkspace = cutlass::complex<float>;
using ElementAccumulator = cutlass::complex<float>;
using ElementOutput = cutlass::complex<float>;
using ElementCompute = cutlass::complex<float>;
using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
128 / cutlass::sizeof_bits<ElementWorkspace>::value,
ElementAccumulator,
ElementCompute
>;
using ReductionOp = cutlass::reduction::thread::ReduceAdd<
ElementAccumulator,
typename EpilogueOutputOp::ElementAccumulator,
EpilogueOutputOp::kCount
>;
using Operation_reduce_add_linear_combination_cf32_cf32_cf32 = cutlass::reduction::device::ReduceSplitK<
cutlass::reduction::kernel::ReduceSplitK<
cutlass::MatrixShape<4, 32 * EpilogueOutputOp::kCount>,
EpilogueOutputOp,
ReductionOp
>
>;
manifest.append(new ReductionOperation<
Operation_reduce_add_linear_combination_cf32_cf32_cf32>(
"reduce_add_linear_combination_cf32_cf32_cf32"
));
}
}
}