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[CK_BUILDER] Add backward weight instance traits for xdl cshuffle. (#3143)

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* 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
2025-11-04 06:34:00 -08:00
committed by GitHub
parent 052c043d99
commit 52204ff4e5
6 changed files with 520 additions and 3 deletions
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112
experimental/builder/test/test_bwd_weight_instance_traits.cpp Normal file
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// Copyright (C) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <gtest/gtest.h>
#include <ck/ck.hpp>
#include <ck_tile/builder/reflect/instance_traits.hpp>
#include <ck_tile/builder/reflect/instance_traits_device_grouped_conv_bwd_weight_xdl_cshuffle.hpp>
namespace {
TEST(InstanceTraits, BwdWeightXdlCShuffleInstanceStringReturnsCorrectFormat)
{
using DeviceInstance = ck::tensor_operation::device::DeviceGroupedConvBwdWeight_Xdl_CShuffle<
2, // NDimSpatial
ck::tensor_layout::convolution::GNHWC, // InLayout
ck::tensor_layout::convolution::GKYXC, // WeiLayout
ck::tensor_layout::convolution::GNHWK, // OutLayout
ck::half_t, // InDataType
ck::half_t, // WeiDataType
ck::half_t, // OutDataType
float, // AccDataType
ck::tensor_operation::element_wise::PassThrough, // InElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // WeiElementwiseOperation
ck::tensor_operation::element_wise::PassThrough, // OutElementwiseOperation
ck::tensor_operation::device::ConvolutionBackwardWeightSpecialization::
Default, // ConvBackwardWeightSpecialization
256, // BlockSize
128, // MPerBlock
128, // NPerBlock
4, // K0PerBlock
8, // K1
32, // MPerXDL
32, // NPerXDL
2, // MXdlPerWave
2, // NXdlPerWave
ck::Sequence<4, 64, 1>, // ABlockTransferThreadClusterLengths_K0_M_K1
ck::Sequence<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
ck::Sequence<1, 0, 2>, // ABlockTransferSrcAccessOrder
2, // ABlockTransferSrcVectorDim
8, // ABlockTransferSrcScalarPerVector
8, // ABlockTransferDstScalarPerVector_K1
false, // ABlockLdsAddExtraM
ck::Sequence<4, 64, 1>, // BBlockTransferThreadClusterLengths_K0_N_K1
ck::Sequence<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
ck::Sequence<1, 0, 2>, // BBlockTransferSrcAccessOrder
2, // BBlockTransferSrcVectorDim
8, // BBlockTransferSrcScalarPerVector
8, // BBlockTransferDstScalarPerVector_K1
false, // BBlockLdsAddExtraN
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