2020-09-24 05:00:58 +08:00
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/***************************************************************************************************
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2023-01-21 05:32:57 +08:00
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* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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2022-04-24 03:02:38 +08:00
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* SPDX-License-Identifier: BSD-3-Clause
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2020-09-24 05:00:58 +08:00
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*
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2022-04-24 03:02:38 +08:00
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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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2020-09-24 05:00:58 +08:00
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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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2020-09-24 05:00:58 +08:00
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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 reference operations for GEMM operation kinds in CUTLASS Library
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*/
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#pragma once
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#include <iostream>
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#include <sstream>
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#include <cstring>
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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 "cutlass/library/util.h"
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#include "library_internal.h"
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#include "cutlass/util/reference/host/gemm_complex.h"
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#include "cutlass/util/reference/device/gemm_complex.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 <
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Provider Provider_,
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typename ElementA_,
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typename LayoutA_,
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cutlass::ComplexTransform TransformA,
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typename ElementB_,
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typename LayoutB_,
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cutlass::ComplexTransform TransformB,
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typename ElementC_,
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typename LayoutC_,
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typename ElementCompute_,
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typename ElementAccumulator_ = ElementCompute_,
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typename ElementD_ = ElementC_,
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typename ConvertOp_ = NumericConverter<ElementD_, ElementCompute_>,
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typename InnerProductOp_ = multiply_add<ElementAccumulator_>
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>
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class GemmReferenceOperation : public Operation {
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public:
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static Provider const kProvider = Provider_;
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using ElementA = ElementA_;
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using LayoutA = LayoutA_;
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using TensorRefA = TensorRef<ElementA, LayoutA>;
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static cutlass::ComplexTransform const kTransformA = TransformA;
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using ElementB = ElementB_;
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using LayoutB = LayoutB_;
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using TensorRefB = TensorRef<ElementB, LayoutB>;
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static cutlass::ComplexTransform const kTransformB = TransformB;
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using ElementC = ElementC_;
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using LayoutC = LayoutC_;
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using ElementD = ElementD_;
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using TensorRefC = TensorRef<ElementC, LayoutC>;
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using TensorRefD = TensorRef<ElementD, LayoutC>;
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using ElementCompute = ElementCompute_;
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using ElementAccumulator = ElementAccumulator_;
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using ConvertOp = ConvertOp_;
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using InnerProductOp = InnerProductOp_;
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protected:
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/// Storage for the name string
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std::string name_;
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///
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GemmDescription description_;
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public:
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/// Constructor
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GemmReferenceOperation() {
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// Basic information
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description_.provider = kProvider;
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description_.kind = OperationKind::kGemm;
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description_.gemm_kind = GemmKind::kUniversal;
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// Tensor description
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description_.A = make_TensorDescription<ElementA, LayoutA>();
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description_.transform_A = ComplexTransformMap<kTransformA>::kId;
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description_.B = make_TensorDescription<ElementB, LayoutB>();
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description_.transform_B = ComplexTransformMap<kTransformB>::kId;
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description_.C = make_TensorDescription<ElementC, LayoutC>();
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description_.D = make_TensorDescription<ElementD, LayoutC>();
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// Epilogue compute and accumulator type description
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description_.element_epilogue = NumericTypeMap<ElementCompute>::kId;
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description_.tile_description.math_instruction.element_accumulator =
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NumericTypeMap<ElementAccumulator>::kId;
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// Compute capability for gemm reference
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description_.tile_description.minimum_compute_capability =
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(kProvider == Provider::kReferenceDevice ? 50 : 0);
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description_.tile_description.maximum_compute_capability = 1024;
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// Procedural name
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std::stringstream ss;
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ss << "gemm"
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<< "_reference_" << to_string(description_.provider)
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<< "_" << to_string(description_.A.element) << to_string(description_.A.layout)
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<< "_" << to_string(description_.B.element) << to_string(description_.B.layout)
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<< "_" << to_string(description_.C.element) << to_string(description_.C.layout)
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<< "_" << to_string(description_.tile_description.math_instruction.element_accumulator);
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name_ = ss.str();
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description_.name = name_.c_str();
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// Epilogue compute and accumulator type description
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description_.element_epilogue = NumericTypeMap<ElementCompute>::kId;
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description_.tile_description.math_instruction.element_accumulator =
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NumericTypeMap<ElementAccumulator>::kId;
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}
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/// Returns the description of the GEMM operation
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virtual OperationDescription const & description() const {
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return description_;
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}
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virtual Status can_implement(
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void const *configuration,
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void const *arguments) const {
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return Status::kSuccess;
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}
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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(GemmUniversalConfiguration);
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}
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virtual uint64_t get_device_workspace_size(
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void const *configuration,
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void const *arguments = nullptr) const {
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return 0;
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}
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virtual Status initialize(
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void const *configuration,
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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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std::memcpy(host_workspace, configuration, get_host_workspace_size(configuration));
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return Status::kSuccess;
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}
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virtual Status run(
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void const *arguments,
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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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GemmUniversalConfiguration const &config = *static_cast<GemmUniversalConfiguration const *>(host_workspace);
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GemmUniversalArguments const &args = *static_cast<GemmUniversalArguments const *>(arguments);
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TensorRefA ref_A{static_cast<ElementA *>(const_cast<void *>(args.A)), LayoutA(int(config.lda))};
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TensorRefB ref_B{static_cast<ElementB *>(const_cast<void *>(args.B)), LayoutB(int(config.ldb))};
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TensorRefC ref_C{static_cast<ElementC *>(const_cast<void *>(args.C)), LayoutC(int(config.ldc))};
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TensorRefD ref_D{static_cast<ElementD *>(args.D), LayoutC(int(config.ldd))};
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if (kProvider == Provider::kReferenceHost) {
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cutlass::reference::host::GemmComplex<
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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ElementCompute,
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ElementAccumulator,
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ElementD,
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ConvertOp,
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InnerProductOp
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>(
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config.problem_size,
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*static_cast<ElementCompute const *>(args.alpha),
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ref_A,
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kTransformA,
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ref_B,
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kTransformB,
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*static_cast<ElementCompute const *>(args.beta),
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ref_C,
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ref_D,
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ElementAccumulator(),
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((config.mode == library::GemmUniversalMode::kBatched) ? config.batch_count : 1),
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args.batch_stride_A,
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args.batch_stride_B,
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args.batch_stride_C,
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args.batch_stride_D
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);
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return Status::kSuccess;
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}
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else if (kProvider == Provider::kReferenceDevice) {
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cutlass::reference::device::GemmComplex<
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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ElementCompute,
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ElementAccumulator,
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ElementD,
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ConvertOp,
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InnerProductOp
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>(
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config.problem_size,
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*static_cast<ElementCompute const *>(args.alpha),
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ref_A,
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kTransformA,
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ref_B,
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kTransformB,
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*static_cast<ElementCompute const *>(args.beta),
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ref_C,
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ref_D,
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ElementAccumulator(),
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((config.mode == library::GemmUniversalMode::kBatched) ? config.batch_count : 1),
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args.batch_stride_A,
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args.batch_stride_B,
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args.batch_stride_C,
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args.batch_stride_D
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);
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return Status::kSuccess;
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}
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return Status::kErrorNotSupported;
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}
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};
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///////////////////////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementA_,
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typename LayoutA_,
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cutlass::ComplexTransform TransformA,
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typename ElementB_,
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typename LayoutB_,
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cutlass::ComplexTransform TransformB,
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typename ElementC_,
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typename LayoutC_,
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typename ElementCompute_,
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typename ElementAccumulator_ = ElementCompute_,
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typename ElementD_ = ElementC_,
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typename ConvertOp_ = NumericConverter<ElementD_, ElementCompute_>,
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typename InnerProductOp_ = multiply_add<ElementAccumulator_>
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>
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void make_gemm(Manifest &manifest) {
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manifest.append(new GemmReferenceOperation<
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Provider::kReferenceHost,
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ElementA_, LayoutA_, TransformA,
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ElementB_, LayoutB_, TransformB,
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ElementC_, LayoutC_,
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ElementCompute_,
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ElementAccumulator_,
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ElementD_,
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ConvertOp_,
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InnerProductOp_
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>);
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manifest.append(new GemmReferenceOperation<
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Provider::kReferenceDevice,
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ElementA_, LayoutA_, TransformA,
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ElementB_, LayoutB_, TransformB,
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ElementC_, LayoutC_,
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ElementCompute_,
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ElementAccumulator_,
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ElementD_,
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ConvertOp_,
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InnerProductOp_
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>);
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}
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/// Helper to create NN, NT, TN, and TT GEMM layouts.
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template <
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typename ElementA_, cutlass::ComplexTransform TransformA,
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typename ElementB_, cutlass::ComplexTransform TransformB,
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typename ElementC_,
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typename ElementCompute_,
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typename ElementAccumulator_ = ElementCompute_,
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typename ElementD_ = ElementC_,
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typename ConvertOp_ = NumericConverter<ElementD_, ElementCompute_>,
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typename InnerProductOp_ = multiply_add<ElementAccumulator_>
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>
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void make_gemm_canonical_layouts(Manifest &manifest) {
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// M Major outputs
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make_gemm<
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ElementA_, cutlass::layout::ColumnMajor, TransformA,
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ElementB_, cutlass::layout::ColumnMajor, TransformB,
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ElementC_, cutlass::layout::ColumnMajor,
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ElementCompute_,
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ElementAccumulator_,
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ElementD_,
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ConvertOp_,
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InnerProductOp_
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>(manifest);
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make_gemm<
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ElementA_, cutlass::layout::ColumnMajor, TransformA,
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ElementB_, cutlass::layout::RowMajor, TransformB,
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ElementC_, cutlass::layout::ColumnMajor,
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ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
2023-04-15 11:19:34 +08:00
|
|
|
|
2020-09-24 05:00:58 +08:00
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::RowMajor, TransformA,
|
|
|
|
ElementB_, cutlass::layout::ColumnMajor, TransformB,
|
|
|
|
ElementC_, cutlass::layout::ColumnMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::RowMajor, TransformA,
|
|
|
|
ElementB_, cutlass::layout::RowMajor, TransformB,
|
|
|
|
ElementC_, cutlass::layout::ColumnMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
// N Major outputs
|
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::ColumnMajor, TransformA,
|
|
|
|
ElementB_, cutlass::layout::ColumnMajor, TransformB,
|
|
|
|
ElementC_, cutlass::layout::RowMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
|
|
|
ElementD_,
|
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::ColumnMajor, TransformA,
|
|
|
|
ElementB_, cutlass::layout::RowMajor, TransformB,
|
|
|
|
ElementC_, cutlass::layout::RowMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
|
|
|
ElementD_,
|
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::RowMajor, TransformA,
|
|
|
|
ElementB_, cutlass::layout::ColumnMajor, TransformB,
|
|
|
|
ElementC_, cutlass::layout::RowMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
|
|
|
ElementD_,
|
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::RowMajor, TransformA,
|
|
|
|
ElementB_, cutlass::layout::RowMajor, TransformB,
|
|
|
|
ElementC_, cutlass::layout::RowMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/// Helper to create TN and interleaved layouts GEMM layouts.
|
|
|
|
template <
|
|
|
|
int InterleaveK,
|
|
|
|
typename ElementA_,
|
|
|
|
typename ElementB_,
|
|
|
|
typename ElementC_,
|
|
|
|
typename ElementCompute_,
|
|
|
|
typename ElementAccumulator_ = ElementCompute_,
|
2023-04-15 11:19:34 +08:00
|
|
|
typename ElementD_ = ElementC_,
|
2020-09-24 05:00:58 +08:00
|
|
|
typename ConvertOp_ = NumericConverter<ElementC_, ElementCompute_>,
|
|
|
|
typename InnerProductOp_ = multiply_add<ElementAccumulator_>
|
|
|
|
>
|
|
|
|
void make_gemm_interleaved_layouts(Manifest &manifest) {
|
|
|
|
|
|
|
|
make_gemm<
|
|
|
|
ElementA_, cutlass::layout::RowMajor, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementB_, cutlass::layout::ColumnMajor, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementC_, cutlass::layout::ColumnMajor,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Helper to real-valued GEMM with canonical layouts
|
|
|
|
template <
|
|
|
|
typename ElementA_,
|
|
|
|
typename ElementB_,
|
|
|
|
typename ElementC_,
|
|
|
|
typename ElementCompute_,
|
|
|
|
typename ElementAccumulator_ = ElementCompute_,
|
2023-04-15 11:19:34 +08:00
|
|
|
typename ElementD_ = ElementC_,
|
|
|
|
typename ConvertOp_ = NumericConverter<ElementD_, ElementCompute_>,
|
2020-09-24 05:00:58 +08:00
|
|
|
typename InnerProductOp_ = multiply_add<ElementAccumulator_>
|
|
|
|
>
|
|
|
|
void make_gemm_real_canonical_layouts(Manifest &manifest) {
|
|
|
|
make_gemm_canonical_layouts<
|
|
|
|
ElementA_, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementB_, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementC_,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
}
|
|
|
|
|
|
|
|
// Helper to create all complex transformation permutations
|
|
|
|
template <
|
|
|
|
typename ElementA_,
|
|
|
|
typename ElementB_,
|
|
|
|
typename ElementC_,
|
|
|
|
typename ElementCompute_,
|
|
|
|
typename ElementAccumulator_ = ElementCompute_,
|
2023-04-15 11:19:34 +08:00
|
|
|
typename ElementD_ = ElementC_,
|
|
|
|
typename ConvertOp_ = NumericConverter<ElementD_, ElementCompute_>,
|
2020-09-24 05:00:58 +08:00
|
|
|
typename InnerProductOp_ = multiply_add<ElementAccumulator_>
|
|
|
|
>
|
|
|
|
void make_gemm_complex_canonical_layouts(Manifest &manifest) {
|
|
|
|
|
|
|
|
make_gemm_canonical_layouts<
|
|
|
|
ElementA_, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementB_, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementC_,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm_canonical_layouts<
|
|
|
|
ElementA_, cutlass::ComplexTransform::kConjugate,
|
|
|
|
ElementB_, cutlass::ComplexTransform::kConjugate,
|
|
|
|
ElementC_,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm_canonical_layouts<
|
|
|
|
ElementA_, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementB_, cutlass::ComplexTransform::kConjugate,
|
|
|
|
ElementC_,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
|
|
|
|
make_gemm_canonical_layouts<
|
|
|
|
ElementA_, cutlass::ComplexTransform::kConjugate,
|
|
|
|
ElementB_, cutlass::ComplexTransform::kNone,
|
|
|
|
ElementC_,
|
|
|
|
ElementCompute_,
|
|
|
|
ElementAccumulator_,
|
2023-04-15 11:19:34 +08:00
|
|
|
ElementD_,
|
2020-09-24 05:00:58 +08:00
|
|
|
ConvertOp_,
|
|
|
|
InnerProductOp_
|
|
|
|
>(manifest);
|
|
|
|
}
|
|
|
|
|
|
|
|
///////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
} // namespace library
|
|
|
|
} // namespace cutlass
|
|
|
|
|
|
|
|
///////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|