185 lines
6.2 KiB
Plaintext
185 lines
6.2 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* 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"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (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<ElementWorkspace>::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<ElementWorkspace>::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_f64_f64_f64(Manifest &manifest) {
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using ElementWorkspace = double;
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using ElementAccumulator = double;
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using ElementOutput = double;
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using ElementCompute = double;
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using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination<
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ElementOutput,
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128 / cutlass::sizeof_bits<ElementWorkspace>::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_f64_f64_f64 = 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_f64_f64_f64>(
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"reduce_add_linear_combination_f64_f64_f64"
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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<ElementWorkspace>::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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