2018-10-27 05:38:46 +08:00
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/***************************************************************************************************
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2019-03-21 01:49:17 +08:00
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* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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2018-10-27 05:38:46 +08:00
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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.
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* * 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
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* 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 Reference implementation for GEMM in device-side code.
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*/
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#pragma once
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#include "cutlass/coord.h"
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#include "cutlass/matrix_traits.h"
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#include "cutlass/tensor_view.h"
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#include "cutlass/gemm/gemm_coord.h"
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#include "cutlass/util/complex.h"
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#include "tools/util/reference/device/kernel/gemm.h"
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namespace cutlass {
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namespace reference {
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namespace device {
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////////////////////////////////////////////////////////////////////////////////////////////////////
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/// Computes a complex-valued GEMM whose operands are in the split-complex format.
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template <
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typename TensorRefA, /// concept: ZipTensorRef
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typename TensorRefB, /// concept: ZipTensorRef
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typename TensorRefC, /// concept: ZipTensorRef
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typename ScalarType, /// real-valued type underlying complex scalars
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typename AccumulatorType /// real-valued type underlying complex accumulators
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>
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void SplitComplexGemm(
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gemm::GemmCoord problem_size,
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platform::complex<ScalarType> alpha,
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TensorRefA tensor_a,
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TensorRefB tensor_b,
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platform::complex<ScalarType> beta,
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TensorRefC tensor_c,
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platform::complex<ScalarType> initial_accum) {
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static_assert(
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TensorRefA::First::kRank == 2 && TensorRefA::Second::kRank == 2 &&
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TensorRefB::First::kRank == 2 && TensorRefB::Second::kRank == 2 &&
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TensorRefC::First::kRank == 2 && TensorRefC::Second::kRank == 2,
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"Tensors must be of rank 2");
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// Blocking structure potentially improves performance of reference implementation
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// with a minor increase in complexity.
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//
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// Note, this reference implementation is NOT expected to approach peak performance.
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typedef Shape<1, 4, 4> OutputTile;
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dim3 block(16, 8);
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dim3 grid(
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(problem_size.m() + block.x * OutputTile::kW - 1) / (block.x * OutputTile::kW),
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(problem_size.n() + block.y * OutputTile::kH - 1) / (block.y * OutputTile::kH)
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);
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// Launch a GEMM kernel
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kernel::SplitComplexGemm<
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TensorRefA,
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TensorRefB,
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TensorRefC,
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ScalarType,
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AccumulatorType,
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OutputTile
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><<< grid, block >>>(
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problem_size,
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alpha,
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tensor_a,
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tensor_b,
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beta,
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tensor_c,
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initial_accum
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);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace device
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} // namespace reference
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} // namespace cutlass
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