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[CK_BUILDER] Add backward weight instance traits for xdl cshuffle. (#3143)
* Add backward weight instance traits for xdl cshuffle.
To keep instance test file sizes reasonable, we start a new test_bwd_weight_instances_traits.cpp test file.
* Fix copyright notices.
* Remove (c) symbol, replace with (C).
Having UTF-8 in source caused an error with code generation.
[ROCm/composable_kernel commit: 6dbee64886]
This commit is contained in:
John Shumway
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// Copyright (C) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include "instance_traits.hpp"
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#include "ck/tensor_operation/gpu/device/convolution_backward_weight_specialization.hpp"
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// Forward declaration to avoid circular dependency
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namespace ck::tensor_operation::device {
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template <ck::index_t NDimSpatial,
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typename InLayout,
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typename WeiLayout,
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typename OutLayout,
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typename InDataType,
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typename WeiDataType,
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typename OutDataType,
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typename AccDataType,
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typename InElementwiseOperation,
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typename WeiElementwiseOperation,
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typename OutElementwiseOperation,
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ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization
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ConvBackwardWeightSpecialization,
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ck::index_t BlockSize,
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ck::index_t MPerBlock,
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ck::index_t NPerBlock,
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ck::index_t K0PerBlock,
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ck::index_t K1,
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ck::index_t MPerXDL,
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ck::index_t NPerXDL,
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ck::index_t MXdlPerWave,
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ck::index_t NXdlPerWave,
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typename ABlockTransferThreadClusterLengths_K0_M_K1,
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typename ABlockTransferThreadClusterArrangeOrder,
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typename ABlockTransferSrcAccessOrder,
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ck::index_t ABlockTransferSrcVectorDim,
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ck::index_t ABlockTransferSrcScalarPerVector,
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ck::index_t ABlockTransferDstScalarPerVector_K1,
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bool ABlockLdsAddExtraM,
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typename BBlockTransferThreadClusterLengths_K0_N_K1,
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typename BBlockTransferThreadClusterArrangeOrder,
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typename BBlockTransferSrcAccessOrder,
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ck::index_t BBlockTransferSrcVectorDim,
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ck::index_t BBlockTransferSrcScalarPerVector,
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ck::index_t BBlockTransferDstScalarPerVector_K1,
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bool BBlockLdsAddExtraN,
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ck::index_t CShuffleMXdlPerWavePerShuffle,
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ck::index_t CShuffleNXdlPerWavePerShuffle,
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typename CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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ck::index_t CBlockTransferScalarPerVector_NWaveNPerXdl,
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typename ComputeTypeA,
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typename ComputeTypeB,
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ck::index_t MaxTransposeTransferSrcScalarPerVector,
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ck::index_t MaxTransposeTransferDstScalarPerVector>
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struct DeviceGroupedConvBwdWeight_Xdl_CShuffle;
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} // namespace ck::tensor_operation::device
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namespace ck_tile {
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namespace reflect {
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template <ck::index_t NDimSpatial,
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typename InLayout_,
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typename WeiLayout_,
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typename OutLayout_,
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typename InDataType_,
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typename WeiDataType_,
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typename OutDataType_,
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typename AccDataType_,
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typename InElementwiseOperation_,
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typename WeiElementwiseOperation_,
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typename OutElementwiseOperation_,
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ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization
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ConvBackwardWeightSpecialization,
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ck::index_t BlockSize,
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ck::index_t MPerBlock,
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ck::index_t NPerBlock,
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ck::index_t K0PerBlock,
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ck::index_t K1,
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ck::index_t MPerXDL,
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ck::index_t NPerXDL,
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ck::index_t MXdlPerWave,
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ck::index_t NXdlPerWave,
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typename ABlockTransferThreadClusterLengths_K0_M_K1_,
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typename ABlockTransferThreadClusterArrangeOrder_,
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typename ABlockTransferSrcAccessOrder_,
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ck::index_t ABlockTransferSrcVectorDim,
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ck::index_t ABlockTransferSrcScalarPerVector,
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ck::index_t ABlockTransferDstScalarPerVector_K1,
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bool ABlockLdsAddExtraM,
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typename BBlockTransferThreadClusterLengths_K0_N_K1_,
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typename BBlockTransferThreadClusterArrangeOrder_,
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typename BBlockTransferSrcAccessOrder_,
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ck::index_t BBlockTransferSrcVectorDim,
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ck::index_t BBlockTransferSrcScalarPerVector,
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ck::index_t BBlockTransferDstScalarPerVector_K1,
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bool BBlockLdsAddExtraN,
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ck::index_t CShuffleMXdlPerWavePerShuffle,
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ck::index_t CShuffleNXdlPerWavePerShuffle,
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typename CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock_,
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ck::index_t CBlockTransferScalarPerVector_NWaveNPerXdl,
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typename ComputeTypeA_,
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typename ComputeTypeB_,
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ck::index_t MaxTransposeTransferSrcScalarPerVector,
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ck::index_t MaxTransposeTransferDstScalarPerVector>
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struct InstanceTraits<ck::tensor_operation::device::DeviceGroupedConvBwdWeight_Xdl_CShuffle<
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NDimSpatial,
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InLayout_,
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WeiLayout_,
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OutLayout_,
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InDataType_,
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WeiDataType_,
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OutDataType_,
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AccDataType_,
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InElementwiseOperation_,
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WeiElementwiseOperation_,
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OutElementwiseOperation_,
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ConvBackwardWeightSpecialization,
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BlockSize,
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MPerBlock,
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NPerBlock,
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K0PerBlock,
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K1,
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MPerXDL,
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NPerXDL,
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MXdlPerWave,
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NXdlPerWave,
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ABlockTransferThreadClusterLengths_K0_M_K1_,
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ABlockTransferThreadClusterArrangeOrder_,
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ABlockTransferSrcAccessOrder_,
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ABlockTransferSrcVectorDim,
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ABlockTransferSrcScalarPerVector,
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ABlockTransferDstScalarPerVector_K1,
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ABlockLdsAddExtraM,
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BBlockTransferThreadClusterLengths_K0_N_K1_,
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BBlockTransferThreadClusterArrangeOrder_,
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BBlockTransferSrcAccessOrder_,
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BBlockTransferSrcVectorDim,
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BBlockTransferSrcScalarPerVector,
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BBlockTransferDstScalarPerVector_K1,
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BBlockLdsAddExtraN,
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CShuffleMXdlPerWavePerShuffle,
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CShuffleNXdlPerWavePerShuffle,
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CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock_,
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CBlockTransferScalarPerVector_NWaveNPerXdl,
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ComputeTypeA_,
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ComputeTypeB_,
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MaxTransposeTransferSrcScalarPerVector,
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MaxTransposeTransferDstScalarPerVector>>
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{
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static constexpr auto kTensorOpName = "DeviceGroupedConvBwdWeight_Xdl_CShuffle";
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static constexpr ck::index_t kNDimSpatial = NDimSpatial;
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using InLayout = InLayout_;
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using WeiLayout = WeiLayout_;
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using OutLayout = OutLayout_;
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using InDataType = InDataType_;
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using WeiDataType = WeiDataType_;
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using OutDataType = OutDataType_;
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using AccDataType = AccDataType_;
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using InElementwiseOperation = InElementwiseOperation_;
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using WeiElementwiseOperation = WeiElementwiseOperation_;
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using OutElementwiseOperation = OutElementwiseOperation_;
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static constexpr auto kConvBackwardWeightSpecialization = ConvBackwardWeightSpecialization;
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static constexpr ck::index_t kBlockSize = BlockSize;
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static constexpr ck::index_t kMPerBlock = MPerBlock;
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static constexpr ck::index_t kNPerBlock = NPerBlock;
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static constexpr ck::index_t kK0PerBlock = K0PerBlock;
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static constexpr ck::index_t kK1 = K1;
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static constexpr ck::index_t kMPerXDL = MPerXDL;
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static constexpr ck::index_t kNPerXDL = NPerXDL;
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static constexpr ck::index_t kMXdlPerWave = MXdlPerWave;
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static constexpr ck::index_t kNXdlPerWave = NXdlPerWave;
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using ABlockTransferThreadClusterLengths_K0_M_K1 = ABlockTransferThreadClusterLengths_K0_M_K1_;
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using ABlockTransferThreadClusterArrangeOrder = ABlockTransferThreadClusterArrangeOrder_;
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using ABlockTransferSrcAccessOrder = ABlockTransferSrcAccessOrder_;
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static constexpr ck::index_t kABlockTransferSrcVectorDim = ABlockTransferSrcVectorDim;
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static constexpr ck::index_t kABlockTransferSrcScalarPerVector =
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ABlockTransferSrcScalarPerVector;
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static constexpr ck::index_t kABlockTransferDstScalarPerVector_K1 =
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ABlockTransferDstScalarPerVector_K1;
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static constexpr bool kABlockLdsAddExtraM = ABlockLdsAddExtraM;
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using BBlockTransferThreadClusterLengths_K0_N_K1 = BBlockTransferThreadClusterLengths_K0_N_K1_;
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using BBlockTransferThreadClusterArrangeOrder = BBlockTransferThreadClusterArrangeOrder_;
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using BBlockTransferSrcAccessOrder = BBlockTransferSrcAccessOrder_;
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static constexpr ck::index_t kBBlockTransferSrcVectorDim = BBlockTransferSrcVectorDim;
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static constexpr ck::index_t kBBlockTransferSrcScalarPerVector =
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BBlockTransferSrcScalarPerVector;
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static constexpr ck::index_t kBBlockTransferDstScalarPerVector_K1 =
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BBlockTransferDstScalarPerVector_K1;
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static constexpr bool kBBlockLdsAddExtraN = BBlockLdsAddExtraN;
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static constexpr ck::index_t kCShuffleMXdlPerWavePerShuffle = CShuffleMXdlPerWavePerShuffle;
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static constexpr ck::index_t kCShuffleNXdlPerWavePerShuffle = CShuffleNXdlPerWavePerShuffle;
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using CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock =
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CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock_;
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static constexpr ck::index_t kCBlockTransferScalarPerVector_NWaveNPerXdl =
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CBlockTransferScalarPerVector_NWaveNPerXdl;
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using ComputeTypeA = ComputeTypeA_;
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using ComputeTypeB = ComputeTypeB_;
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static constexpr ck::index_t kMaxTransposeTransferSrcScalarPerVector =
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MaxTransposeTransferSrcScalarPerVector;
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static constexpr ck::index_t kMaxTransposeTransferDstScalarPerVector =
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MaxTransposeTransferDstScalarPerVector;
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// Static member function to generate instance string
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static std::string instance_string()
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{
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std::ostringstream oss;
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// Kernel type name
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oss << "DeviceGroupedConvBwdWeight_Xdl_CShuffle";
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// Template parameters in exact order
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oss << "<" << kNDimSpatial; // 1. NDimSpatial
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oss << "," << detail::layout_name<InLayout>(); // 2. InLayout
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oss << "," << detail::layout_name<WeiLayout>(); // 3. WeiLayout
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oss << "," << detail::layout_name<OutLayout>(); // 4. OutLayout
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oss << "," << detail::type_name<InDataType>(); // 5. InDataType
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oss << "," << detail::type_name<WeiDataType>(); // 6. WeiDataType
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oss << "," << detail::type_name<OutDataType>(); // 7. OutDataType
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oss << "," << detail::type_name<AccDataType>(); // 8. AccDataType
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oss << ","
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<< detail::elementwise_op_name<InElementwiseOperation>(); // 9. InElementwiseOperation
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oss << ","
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<< detail::elementwise_op_name<WeiElementwiseOperation>(); // 10.
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// WeiElementwiseOperation
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oss << ","
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<< detail::elementwise_op_name<OutElementwiseOperation>(); // 11.
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// OutElementwiseOperation
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oss << ","
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<< detail::conv_bwd_weight_spec_name(
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kConvBackwardWeightSpecialization); // 12. ConvBackwardWeightSpecialization
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oss << "," << kBlockSize; // 13. BlockSize
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oss << "," << kMPerBlock; // 14. MPerBlock
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oss << "," << kNPerBlock; // 15. NPerBlock
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oss << "," << kK0PerBlock; // 16. K0PerBlock
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oss << "," << kK1; // 17. K1
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oss << "," << kMPerXDL; // 18. MPerXDL
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oss << "," << kNPerXDL; // 19. NPerXDL
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oss << "," << kMXdlPerWave; // 20. MXdlPerWave
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oss << "," << kNXdlPerWave; // 21. NXdlPerWave
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oss << "," << detail::sequence_name<ABlockTransferThreadClusterLengths_K0_M_K1>(); // 22.
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oss << "," << detail::sequence_name<ABlockTransferThreadClusterArrangeOrder>(); // 23.
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oss << "," << detail::sequence_name<ABlockTransferSrcAccessOrder>(); // 24.
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oss << "," << kABlockTransferSrcVectorDim; // 25.
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oss << "," << kABlockTransferSrcScalarPerVector; // 26.
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oss << "," << kABlockTransferDstScalarPerVector_K1; // 27.
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oss << "," << (kABlockLdsAddExtraM ? "true" : "false"); // 28.
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oss << "," << detail::sequence_name<BBlockTransferThreadClusterLengths_K0_N_K1>(); // 29.
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oss << "," << detail::sequence_name<BBlockTransferThreadClusterArrangeOrder>(); // 30.
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oss << "," << detail::sequence_name<BBlockTransferSrcAccessOrder>(); // 31.
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oss << "," << kBBlockTransferSrcVectorDim; // 32.
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oss << "," << kBBlockTransferSrcScalarPerVector; // 33.
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oss << "," << kBBlockTransferDstScalarPerVector_K1; // 34.
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oss << "," << (kBBlockLdsAddExtraN ? "true" : "false"); // 35.
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oss << "," << kCShuffleMXdlPerWavePerShuffle; // 36.
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oss << "," << kCShuffleNXdlPerWavePerShuffle; // 37.
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oss << ","
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<< detail::sequence_name<
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CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>(); // 38.
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oss << "," << kCBlockTransferScalarPerVector_NWaveNPerXdl; // 39.
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oss << "," << detail::type_name<ComputeTypeA>(); // 40.
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oss << "," << detail::type_name<ComputeTypeB>(); // 41.
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oss << "," << kMaxTransposeTransferSrcScalarPerVector; // 42.
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oss << "," << kMaxTransposeTransferDstScalarPerVector; // 43.
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oss << ">";
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return oss.str();
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}
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};
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} // namespace reflect
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} // namespace ck_tile
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@@ -1,5 +1,5 @@
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// Copyright (C) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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// Utility functions and helpers for instance_traits.hpp
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// Contains helper functions to convert types, enums, and sequences to string representations.
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@@ -21,6 +21,7 @@
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#include <ck_tile/ops/common/tensor_layout.hpp>
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#include <ck/tensor_operation/gpu/element/element_wise_operation.hpp>
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#include <ck/tensor_operation/gpu/device/convolution_forward_specialization.hpp>
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#include <ck/tensor_operation/gpu/device/convolution_backward_weight_specialization.hpp>
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#include <ck/tensor_operation/gpu/device/gemm_specialization.hpp>
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namespace ck_tile::reflect::detail {
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@@ -112,6 +113,20 @@ conv_fwd_spec_name(ck::tensor_operation::device::ConvolutionForwardSpecializatio
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}
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}
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// Convert ConvolutionBackwardWeightSpecialization enum to string
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constexpr std::string_view conv_bwd_weight_spec_name(
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ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization spec)
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{
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using enum ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization;
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switch(spec)
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{
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case Default: return "Default";
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case Filter1x1Stride1Pad0: return "Filter1x1Stride1Pad0";
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case Filter1x1Pad0: return "Filter1x1Pad0";
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case OddC: return "OddC";
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}
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}
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// Convert GemmSpecialization enum to string
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constexpr std::string_view gemm_spec_name(ck::tensor_operation::device::GemmSpecialization spec)
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{
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@@ -20,6 +20,7 @@ endfunction()
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add_ck_builder_test(test_ckb_conv_builder
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test_conv_builder.cpp
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test_fwd_instance_traits.cpp
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test_bwd_weight_instance_traits.cpp
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test_instance_traits_util.cpp)
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add_ck_builder_test(test_ckb_inline_diff test_inline_diff.cpp)
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@@ -30,7 +31,8 @@ add_ck_builder_test(test_ckb_get_instance_string
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test_get_instance_string_fwd_grp_conv.cpp
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test_get_instance_string_fwd_grp_conv_large_tensor.cpp
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test_get_instance_string_fwd_grp_conv_wmma.cpp
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test_get_instance_string_fwd_grp_conv_dl.cpp)
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test_get_instance_string_fwd_grp_conv_dl.cpp
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test_get_instance_string_bwd_weight_grp_conv_xdl.cpp)
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# Testing the fwd convolution builder requires kernel compilation.
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# To enable parallel compilation, the individual tests are split into separate files.
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112
experimental/builder/test/test_bwd_weight_instance_traits.cpp
Normal file
112
experimental/builder/test/test_bwd_weight_instance_traits.cpp
Normal file
@@ -0,0 +1,112 @@
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// Copyright (C) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include <gtest/gtest.h>
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#include <ck/ck.hpp>
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#include <ck_tile/builder/reflect/instance_traits.hpp>
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#include <ck_tile/builder/reflect/instance_traits_device_grouped_conv_bwd_weight_xdl_cshuffle.hpp>
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namespace {
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TEST(InstanceTraits, BwdWeightXdlCShuffleInstanceStringReturnsCorrectFormat)
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{
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using DeviceInstance = ck::tensor_operation::device::DeviceGroupedConvBwdWeight_Xdl_CShuffle<
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2, // NDimSpatial
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ck::tensor_layout::convolution::GNHWC, // InLayout
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ck::tensor_layout::convolution::GKYXC, // WeiLayout
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ck::tensor_layout::convolution::GNHWK, // OutLayout
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ck::half_t, // InDataType
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ck::half_t, // WeiDataType
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ck::half_t, // OutDataType
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float, // AccDataType
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ck::tensor_operation::element_wise::PassThrough, // InElementwiseOperation
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ck::tensor_operation::element_wise::PassThrough, // WeiElementwiseOperation
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ck::tensor_operation::element_wise::PassThrough, // OutElementwiseOperation
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ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization::
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Default, // ConvBackwardWeightSpecialization
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256, // BlockSize
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128, // MPerBlock
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128, // NPerBlock
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4, // K0PerBlock
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8, // K1
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32, // MPerXDL
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32, // NPerXDL
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2, // MXdlPerWave
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2, // NXdlPerWave
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ck::Sequence<4, 64, 1>, // ABlockTransferThreadClusterLengths_K0_M_K1
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ck::Sequence<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
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ck::Sequence<1, 0, 2>, // ABlockTransferSrcAccessOrder
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2, // ABlockTransferSrcVectorDim
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8, // ABlockTransferSrcScalarPerVector
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8, // ABlockTransferDstScalarPerVector_K1
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false, // ABlockLdsAddExtraM
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ck::Sequence<4, 64, 1>, // BBlockTransferThreadClusterLengths_K0_N_K1
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ck::Sequence<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
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ck::Sequence<1, 0, 2>, // BBlockTransferSrcAccessOrder
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2, // BBlockTransferSrcVectorDim
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8, // BBlockTransferSrcScalarPerVector
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8, // BBlockTransferDstScalarPerVector_K1
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false, // BBlockLdsAddExtraN
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1, // CShuffleMXdlPerWavePerShuffle
|
||||
1, // CShuffleNXdlPerWavePerShuffle
|
||||
ck::Sequence<1,
|
||||
32,
|
||||
1,
|
||||
8>, // CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock
|
||||
8, // CBlockTransferScalarPerVector_NWaveNPerXdl
|
||||
ck::half_t, // ComputeTypeA
|
||||
ck::half_t, // ComputeTypeB
|
||||
1, // MaxTransposeTransferSrcScalarPerVector
|
||||
1>; // MaxTransposeTransferDstScalarPerVector
|
||||
|
||||
std::string instance_str = ck_tile::reflect::instance_string<DeviceInstance>();
|
||||
|
||||
std::string expected_str = "DeviceGroupedConvBwdWeight_Xdl_CShuffle"
|
||||
"<2" // NDimSpatial
|
||||
",GNHWC" // InLayout
|
||||
",GKYXC" // WeiLayout
|
||||
",GNHWK" // OutLayout
|
||||
",fp16" // InDataType
|
||||
",fp16" // WeiDataType
|
||||
",fp16" // OutDataType
|
||||
",fp32" // AccDataType
|
||||
",PassThrough" // InElementwiseOperation
|
||||
",PassThrough" // WeiElementwiseOperation
|
||||
",PassThrough" // OutElementwiseOperation
|
||||
",Default" // ConvBackwardWeightSpecialization
|
||||
",256" // BlockSize
|
||||
",128" // MPerBlock
|
||||
",128" // NPerBlock
|
||||
",4" // K0PerBlock
|
||||
",8" // K1
|
||||
",32" // MPerXDL
|
||||
",32" // NPerXDL
|
||||
",2" // MXdlPerWave
|
||||
",2" // NXdlPerWave
|
||||
",Seq(4,64,1)" // ABlockTransferThreadClusterLengths_K0_M_K1
|
||||
",Seq(1,0,2)" // ABlockTransferThreadClusterArrangeOrder
|
||||
",Seq(1,0,2)" // ABlockTransferSrcAccessOrder
|
||||
",2" // ABlockTransferSrcVectorDim
|
||||
",8" // ABlockTransferSrcScalarPerVector
|
||||
",8" // ABlockTransferDstScalarPerVector_K1
|
||||
",false" // ABlockLdsAddExtraM
|
||||
",Seq(4,64,1)" // BBlockTransferThreadClusterLengths_K0_N_K1
|
||||
",Seq(1,0,2)" // BBlockTransferThreadClusterArrangeOrder
|
||||
",Seq(1,0,2)" // BBlockTransferSrcAccessOrder
|
||||
",2" // BBlockTransferSrcVectorDim
|
||||
",8" // BBlockTransferSrcScalarPerVector
|
||||
",8" // BBlockTransferDstScalarPerVector_K1
|
||||
",false" // BBlockLdsAddExtraN
|
||||
",1" // CShuffleMXdlPerWavePerShuffle
|
||||
",1" // CShuffleNXdlPerWavePerShuffle
|
||||
",Seq(1,32,1,8)" // CBlockTransferClusterLengths
|
||||
",8" // CBlockTransferScalarPerVector_NWaveNPerXdl
|
||||
",fp16" // ComputeTypeA
|
||||
",fp16" // ComputeTypeB
|
||||
",1" // MaxTransposeTransferSrcScalarPerVector
|
||||
",1>"; // MaxTransposeTransferDstScalarPerVector
|
||||
|
||||
EXPECT_EQ(instance_str, expected_str);
|
||||
}
|
||||
|
||||
} // anonymous namespace
|
||||
@@ -0,0 +1,86 @@
|
||||
// Copyright (C) Advanced Micro Devices, Inc., or its affiliates.
|
||||
// SPDX-License-Identifier: MIT
|
||||
|
||||
#include <gtest/gtest.h>
|
||||
#include <ck_tile/builder/reflect/instance_traits.hpp>
|
||||
#include <ck/tensor_operation/gpu/device/device_base.hpp>
|
||||
#include <ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_xdl_instance.hpp>
|
||||
|
||||
// Test GetInstanceString through base class pointer for backward weight XDL variant
|
||||
TEST(GetInstanceString, ReturnsStringForBwdWeightGrpConvXdlInstance)
|
||||
{
|
||||
// Use the template helper to get a working instance configuration
|
||||
using InstanceTuple = ck::tensor_operation::device::instance::
|
||||
device_grouped_conv_bwd_weight_xdl_c_shuffle_f16_instances<
|
||||
2, // NDimSpatial
|
||||
ck::tensor_operation::device::instance::GNHWC, // InLayout
|
||||
ck::tensor_operation::device::instance::GKYXC, // WeiLayout
|
||||
ck::tensor_operation::device::instance::GNHWK, // OutLayout
|
||||
ck::tensor_operation::device::instance::
|
||||
ConvBwdWeightDefault>; // ConvBwdWeightSpecialization
|
||||
|
||||
// Get the first instance from the tuple
|
||||
using DeviceInstance = typename std::tuple_element<0, InstanceTuple>::type;
|
||||
|
||||
// Define the base class type using the most general operator base
|
||||
using BaseClass = ck::tensor_operation::device::BaseOperator;
|
||||
|
||||
// Create an instance of the derived class
|
||||
DeviceInstance device_instance;
|
||||
|
||||
// Get a pointer to the base class
|
||||
BaseClass* base_ptr = &device_instance;
|
||||
|
||||
// Call GetInstanceString through the base class pointer
|
||||
std::string instance_str = base_ptr->GetInstanceString();
|
||||
|
||||
// Expected complete instance string based on the first instance from
|
||||
// device_grouped_conv_bwd_weight_xdl_c_shuffle_f16_instances
|
||||
// This corresponds to the configuration with BlockSize=64, MPerBlock=64, NPerBlock=64, etc.
|
||||
std::string expected_str = "DeviceGroupedConvBwdWeight_Xdl_CShuffle"
|
||||
"<2" // NDimSpatial
|
||||
",GNHWC" // InLayout
|
||||
",GKYXC" // WeiLayout
|
||||
",GNHWK" // OutLayout
|
||||
",fp16" // InDataType
|
||||
",fp16" // WeiDataType
|
||||
",fp16" // OutDataType
|
||||
",fp32" // AccDataType
|
||||
",PassThrough" // InElementwiseOperation
|
||||
",PassThrough" // WeiElementwiseOperation
|
||||
",PassThrough" // OutElementwiseOperation
|
||||
",Default" // ConvBackwardWeightSpecialization
|
||||
",64" // BlockSize
|
||||
",64" // MPerBlock
|
||||
",64" // NPerBlock
|
||||
",4" // K0PerBlock
|
||||
",8" // K1
|
||||
",32" // MPerXDL
|
||||
",32" // NPerXDL
|
||||
",2" // MXdlPerWave
|
||||
",2" // NXdlPerWave
|
||||
",Seq(1,4,8,2)" // ABlockTransferThreadClusterLengths_K0_M_K1
|
||||
",Seq(0,3,1,2)" // ABlockTransferThreadClusterArrangeOrder
|
||||
",Seq(0,2,1,3)" // ABlockTransferSrcAccessOrder
|
||||
",2" // ABlockTransferSrcVectorDim
|
||||
",2" // ABlockTransferSrcScalarPerVector
|
||||
",4" // ABlockTransferDstScalarPerVector_K1
|
||||
",true" // ABlockLdsAddExtraM
|
||||
",Seq(1,4,8,2)" // BBlockTransferThreadClusterLengths_K0_N_K1
|
||||
",Seq(0,3,1,2)" // BBlockTransferThreadClusterArrangeOrder
|
||||
",Seq(0,2,1,3)" // BBlockTransferSrcAccessOrder
|
||||
",2" // BBlockTransferSrcVectorDim
|
||||
",2" // BBlockTransferSrcScalarPerVector
|
||||
",4" // BBlockTransferDstScalarPerVector_K1
|
||||
",true" // BBlockLdsAddExtraN
|
||||
",1" // CShuffleMXdlPerWavePerShuffle
|
||||
",1" // CShuffleNXdlPerWavePerShuffle
|
||||
",Seq(1,16,1,4)" // CBlockTransferClusterLengths
|
||||
",2" // CBlockTransferScalarPerVector_NWaveNPerXdl
|
||||
",fp16" // ComputeTypeA
|
||||
",fp16" // ComputeTypeB
|
||||
",1" // MaxTransposeTransferSrcScalarPerVector
|
||||
",1>"; // MaxTransposeTransferDstScalarPerVector
|
||||
|
||||
EXPECT_EQ(instance_str, expected_str);
|
||||
}
|
||||
Reference in New Issue
Block a user