/*************************************************************************************************** * Copyright (c) 2017 - 2022 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 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::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::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" )); } 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::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; using ElementAccumulator = cutlass::complex; using ElementOutput = cutlass::complex; using ElementCompute = cutlass::complex; using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombination< ElementOutput, 128 / cutlass::sizeof_bits::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" )); } } }