mirror of
https://github.com/ROCm/composable_kernel.git
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Grouped conv fwd with direct load (#3082)
* Grouped conv fwd with direct load * fix * fix * Add IsSupported check * Fix * fix inductor
This commit is contained in:
Bartłomiej Kocot
@@ -31,127 +31,184 @@ template <BlockGemmPipelineVersion BlkGemmPipelineVer,
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index_t NPerXDL,
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index_t MRepeat,
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index_t NRepeat,
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index_t KPack>
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index_t KPack,
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bool DirectLoad = false>
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constexpr auto BlockGemmPipeline_Selector()
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{
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if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
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if constexpr(DirectLoad)
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{
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return BlockwiseGemmXdlops_pipeline_v1<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v2)
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{
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return BlockwiseGemmXdlops_pipeline_v2<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
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{
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return BlockwiseGemmXdlops_pipeline_v3<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v4)
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{
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return BlockwiseGemmXdlops_pipeline_v4<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v5)
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{
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return BlockwiseGemmXdlops_pipeline_v5<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
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{
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return BlockwiseGemmXdlopsDirectLoad_pipeline_v1<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v4)
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{
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return BlockwiseGemmXdlopsDirectLoad_pipeline_v4<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else
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{
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std::cerr << "BlockGemmPipeline configuration is not available" << std::endl;
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}
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}
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else
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{
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std::cerr << "BlockGemmPipeline configuration is not available" << std::endl;
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if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
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{
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return BlockwiseGemmXdlops_pipeline_v1<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v2)
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{
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return BlockwiseGemmXdlops_pipeline_v2<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
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{
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return BlockwiseGemmXdlops_pipeline_v3<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v4)
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{
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return BlockwiseGemmXdlops_pipeline_v4<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v5)
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{
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return BlockwiseGemmXdlops_pipeline_v5<BlkGemmPipeSche,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>{};
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}
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else
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{
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std::cerr << "BlockGemmPipeline configuration is not available" << std::endl;
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}
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}
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}
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@@ -732,4 +732,330 @@ struct BlockwiseGemmXdlops_pipeline_v1<BlockGemmPipelineScheduler::Interwave,
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using Base::c_thread_desc_;
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};
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// Naive pipeline with lowest resource request per WGP
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// Implementation with direct load
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// GlobalPrefetchStages: 1
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// LocalPreFillStages: 1
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// LocalPreFetchStages: 0
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// LocalSharedMemoryBuffer: 1
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template <BlockGemmPipelineScheduler BlkGemmPipelineVer,
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index_t BlockSize,
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typename ADataType,
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typename BDataType,
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typename ComputeDataType,
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typename AccDataType,
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typename ATileDesc,
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typename BTileDesc,
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typename AMmaTileDesc,
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typename BMmaTileDesc,
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index_t ABlockTransferSrcScalarPerVector,
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index_t BBlockTransferSrcScalarPerVector,
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index_t MPerBlock,
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index_t NPerBlock,
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index_t KPerBlock,
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index_t MPerXDL,
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index_t NPerXDL,
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index_t MRepeat,
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index_t NRepeat,
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index_t KPacks>
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struct BlockwiseGemmXdlopsDirectLoad_pipeline_v1
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{
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};
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template <index_t BlockSize,
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typename ADataType,
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typename BDataType,
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typename ComputeDataType,
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typename AccDataType,
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typename ATileDesc,
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typename BTileDesc,
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typename AMmaTileDesc,
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typename BMmaTileDesc,
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index_t ABlockTransferSrcScalarPerVector,
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index_t BBlockTransferSrcScalarPerVector,
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index_t MPerBlock,
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index_t NPerBlock,
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index_t KPerBlock,
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index_t MPerXDL,
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index_t NPerXDL,
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index_t MRepeat,
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index_t NRepeat,
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index_t KPack
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// ,bool TransposeC //disable transposec right now...
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>
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struct BlockwiseGemmXdlopsDirectLoad_pipeline_v1<BlockGemmPipelineScheduler::Intrawave,
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BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>
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: BlockwiseGemmXdlops_pipeline_base<BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>
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{
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using Base = BlockwiseGemmXdlops_pipeline_base<BlockSize,
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ADataType,
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BDataType,
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ComputeDataType,
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AccDataType,
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ATileDesc,
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BTileDesc,
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AMmaTileDesc,
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BMmaTileDesc,
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ABlockTransferSrcScalarPerVector,
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BBlockTransferSrcScalarPerVector,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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MPerXDL,
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NPerXDL,
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MRepeat,
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NRepeat,
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KPack>;
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using Base::I0;
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using Base::KRepeat;
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using Base::xdlops_gemm;
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using Base::CalculateCThreadOriginDataIndex;
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using Base::CalculateCThreadOriginDataIndex8D;
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using Base::GetCBlockDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2;
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using Base::GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2;
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using Base::GetCBlockDescriptor_M0_N0_M1_N1_M2_N2_N3_N4;
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using Base::GetCThreadBuffer;
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using Base::GetCThreadDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2;
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using Base::GetCThreadDescriptor_M0_N0_M1_N1_M2_M3_M4_N2;
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using Base::GetCThreadDescriptor_M0_N0_M1_N1_M2_N2_N3_N4;
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using Base::MakeCGridDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2;
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using Base::MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2;
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using Base::a_block_desc_m0_m1_m2_k;
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using Base::b_block_desc_n0_n1_n2_k;
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using Base::AMmaKStride;
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using Base::BMmaKStride;
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using ComputeDataTypeBuf = typename Base::ComputeDataTypeBuf;
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static constexpr index_t PrefetchStages = 1;
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static constexpr index_t PrefillStages = 1;
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static constexpr index_t GlobalBufferNum = 1;
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__host__ __device__ static constexpr bool BlockHasHotloop(index_t num_loop)
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{
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return num_loop > PrefetchStages;
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}
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__host__ __device__ static constexpr TailNumber BlockLoopTailNum(index_t num_loop)
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{
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ignore = num_loop;
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return TailNumber::Full;
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}
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template <bool HasMainLoop,
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TailNumber TailNum,
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typename AGridDesc,
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typename ABlockDesc,
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typename ABlockTransfer,
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typename AGridBuffer,
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typename ABlockBuffer,
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typename ABlockTransferStep,
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typename BGridDesc,
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typename BBlockDesc,
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typename BBlockTransfer,
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typename BGridBuffer,
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typename BBlockBuffer,
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typename BBlockTransferStep,
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typename CThreadBuffer>
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__device__ void Run(const AGridDesc& a_grid_desc,
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const ABlockDesc& a_block_desc,
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ABlockTransfer& a_blockwise_copy,
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const AGridBuffer& a_grid_buf,
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ABlockBuffer& a_block_buf,
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const ABlockTransferStep& a_block_copy_step,
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const BGridDesc& b_grid_desc,
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const BBlockDesc& b_block_desc,
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BBlockTransfer& b_blockwise_copy,
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const BGridBuffer& b_grid_buf,
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BBlockBuffer& b_block_buf,
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const BBlockTransferStep& b_block_copy_step,
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CThreadBuffer& c_thread_buf,
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index_t num_loop) const
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{
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auto a_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataTypeBuf>(
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a_thread_desc_.GetElementSpaceSize());
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auto b_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataTypeBuf>(
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b_thread_desc_.GetElementSpaceSize());
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// Global prefetch 1
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a_blockwise_copy.Run(a_grid_desc, a_grid_buf, a_block_desc, a_block_buf);
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b_blockwise_copy.Run(b_grid_desc, b_grid_buf, b_block_desc, b_block_buf);
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a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
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b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
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block_sync_lds_direct_load();
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||||
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// Initialize C
|
||||
c_thread_buf.Clear();
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|
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// main body
|
||||
if constexpr(HasMainLoop)
|
||||
{
|
||||
index_t i = 0;
|
||||
do
|
||||
{
|
||||
static_for<0, KRepeat, 1>{}([&](auto k) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k,
|
||||
make_tuple(m0, I0, I0, Number<k * AMmaKStride>{}),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, k, I0),
|
||||
a_thread_buf);
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
b_thread_copy_.Run(b_block_desc_n0_n1_n2_k,
|
||||
make_tuple(n0, I0, I0, Number<k * BMmaKStride>{}),
|
||||
b_block_buf,
|
||||
b_thread_desc_,
|
||||
make_tuple(n0, I0, k, I0),
|
||||
b_thread_buf);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
block_sync_lds();
|
||||
a_blockwise_copy.Run(a_grid_desc, a_grid_buf, a_block_desc, a_block_buf);
|
||||
b_blockwise_copy.Run(b_grid_desc, b_grid_buf, b_block_desc, b_block_buf);
|
||||
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
vector_type<ComputeDataTypeBuf, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataTypeBuf, KPack> b_thread_vec;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, k0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
b_thread_buf[Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataTypeBuf,
|
||||
xdlops_gemm.K1PerXdlops>::type;
|
||||
|
||||
constexpr index_t c_offset =
|
||||
c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
|
||||
|
||||
xdlops_gemm.Run(
|
||||
a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec.template AsType<mfma_input_type>(),
|
||||
c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
block_sync_lds_direct_load();
|
||||
|
||||
i += 1;
|
||||
} while(i < (num_loop - 1));
|
||||
}
|
||||
|
||||
// tail
|
||||
if constexpr(TailNum == TailNumber::Full)
|
||||
{
|
||||
static_for<0, KRepeat, 1>{}([&](auto k) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k,
|
||||
make_tuple(m0, I0, I0, Number<k * AMmaKStride>{}),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, k, I0),
|
||||
a_thread_buf);
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
b_thread_copy_.Run(b_block_desc_n0_n1_n2_k,
|
||||
make_tuple(n0, I0, I0, Number<k * BMmaKStride>{}),
|
||||
b_block_buf,
|
||||
b_thread_desc_,
|
||||
make_tuple(n0, I0, k, I0),
|
||||
b_thread_buf);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
vector_type<ComputeDataTypeBuf, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataTypeBuf, KPack> b_thread_vec;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, k0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
b_thread_buf[Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataTypeBuf, xdlops_gemm.K1PerXdlops>::type;
|
||||
|
||||
constexpr index_t c_offset =
|
||||
c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
|
||||
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec.template AsType<mfma_input_type>(),
|
||||
c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
protected:
|
||||
using Base::a_thread_copy_;
|
||||
using Base::a_thread_desc_;
|
||||
using Base::b_thread_copy_;
|
||||
using Base::b_thread_desc_;
|
||||
using Base::c_thread_desc_;
|
||||
};
|
||||
|
||||
} // namespace ck
|
||||
|
||||
@@ -573,4 +573,556 @@ struct BlockwiseGemmXdlops_pipeline_v4<BlockGemmPipelineScheduler::Intrawave,
|
||||
using Base::c_thread_desc_;
|
||||
};
|
||||
|
||||
// Compute optimimal pipeline with highest resource request
|
||||
// Implementation with direct load
|
||||
// GlobalPrefetchStages: 3
|
||||
// LocalPreFillStages: 2
|
||||
// LocalPreFetchStages: 1
|
||||
// LocalSharedMemoryBuffer: 2
|
||||
|
||||
template <BlockGemmPipelineScheduler BlkGemmPipelineVer,
|
||||
index_t BlockSize,
|
||||
typename ADataType,
|
||||
typename BDataType,
|
||||
typename ComputeDataType,
|
||||
typename AccDataType,
|
||||
typename ATileDesc,
|
||||
typename BTileDesc,
|
||||
typename AMmaTileDesc,
|
||||
typename BMmaTileDesc,
|
||||
index_t ABlockTransferSrcScalarPerVector,
|
||||
index_t BBlockTransferSrcScalarPerVector,
|
||||
index_t MPerBlock,
|
||||
index_t NPerBlock,
|
||||
index_t KPerBlock,
|
||||
index_t MPerXDL,
|
||||
index_t NPerXDL,
|
||||
index_t MRepeat,
|
||||
index_t NRepeat,
|
||||
index_t KPacks>
|
||||
struct BlockwiseGemmXdlopsDirectLoad_pipeline_v4
|
||||
{
|
||||
};
|
||||
|
||||
template <index_t BlockSize,
|
||||
typename ADataType,
|
||||
typename BDataType,
|
||||
typename ComputeDataType,
|
||||
typename AccDataType,
|
||||
typename ATileDesc,
|
||||
typename BTileDesc,
|
||||
typename AMmaTileDesc,
|
||||
typename BMmaTileDesc,
|
||||
index_t ABlockTransferSrcScalarPerVector,
|
||||
index_t BBlockTransferSrcScalarPerVector,
|
||||
index_t MPerBlock,
|
||||
index_t NPerBlock,
|
||||
index_t KPerBlock,
|
||||
index_t MPerXDL,
|
||||
index_t NPerXDL,
|
||||
index_t MRepeat,
|
||||
index_t NRepeat,
|
||||
index_t KPack
|
||||
// ,bool TransposeC //disable transposec right now...
|
||||
>
|
||||
struct BlockwiseGemmXdlopsDirectLoad_pipeline_v4<BlockGemmPipelineScheduler::Intrawave,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>
|
||||
: BlockwiseGemmXdlops_pipeline_base<BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>
|
||||
|
||||
{
|
||||
using Base = BlockwiseGemmXdlops_pipeline_base<BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>;
|
||||
using Base::I0;
|
||||
using Base::I1;
|
||||
using Base::KRepeat;
|
||||
using Base::xdlops_gemm;
|
||||
using typename Base::HotLoopInstList;
|
||||
|
||||
using Base::CalculateCThreadOriginDataIndex;
|
||||
using Base::CalculateCThreadOriginDataIndex8D;
|
||||
using Base::GetCBlockDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2;
|
||||
using Base::GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2;
|
||||
using Base::GetCBlockDescriptor_M0_N0_M1_N1_M2_N2_N3_N4;
|
||||
using Base::GetCThreadBuffer;
|
||||
using Base::GetCThreadDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2;
|
||||
using Base::GetCThreadDescriptor_M0_N0_M1_N1_M2_M3_M4_N2;
|
||||
using Base::GetCThreadDescriptor_M0_N0_M1_N1_M2_N2_N3_N4;
|
||||
using Base::MakeCGridDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2;
|
||||
using Base::MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2;
|
||||
|
||||
using Base::a_block_desc_m0_m1_m2_k;
|
||||
using Base::b_block_desc_n0_n1_n2_k;
|
||||
|
||||
using Base::AMmaKStride;
|
||||
using Base::BMmaKStride;
|
||||
|
||||
using ComputeDataTypeBuf = typename Base::ComputeDataTypeBuf;
|
||||
|
||||
static constexpr index_t PrefetchStages = 2;
|
||||
static constexpr index_t PrefillStages = 2;
|
||||
static constexpr index_t GlobalBufferNum = 1;
|
||||
static constexpr index_t HotloopUnroll = 2;
|
||||
|
||||
__host__ __device__ static constexpr bool BlockHasHotloop(index_t num_loop)
|
||||
{
|
||||
return num_loop > PrefetchStages;
|
||||
}
|
||||
|
||||
__host__ __device__ static constexpr TailNumber BlockLoopTailNum(index_t num_loop)
|
||||
{
|
||||
if(num_loop % HotloopUnroll == 1)
|
||||
{
|
||||
return TailNumber::Odd;
|
||||
}
|
||||
else
|
||||
{
|
||||
return TailNumber::Even;
|
||||
}
|
||||
}
|
||||
|
||||
__device__ static constexpr void HotLoopScheduler()
|
||||
{
|
||||
// TODO: Take data type into consideration as pipe ver 3
|
||||
// A-B splited schedule
|
||||
constexpr auto num_ds_read_inst_a =
|
||||
HotLoopInstList::A_LDS_Read_Width * sizeof(ADataType) == 16
|
||||
? HotLoopInstList::A_LDS_Read_Inst_Num
|
||||
: HotLoopInstList::A_LDS_Read_Inst_Num / 2;
|
||||
constexpr auto num_ds_read_inst_b =
|
||||
HotLoopInstList::B_LDS_Read_Width * sizeof(BDataType) == 16
|
||||
? HotLoopInstList::B_LDS_Read_Inst_Num
|
||||
: HotLoopInstList::B_LDS_Read_Inst_Num / 2;
|
||||
|
||||
constexpr auto num_issue_a = HotLoopInstList::A_Buffer_Load_Inst_Num;
|
||||
constexpr auto num_dswrite_per_issue_a = 0;
|
||||
constexpr auto num_dsread_per_issue_a = num_ds_read_inst_a / num_issue_a;
|
||||
|
||||
constexpr auto num_issue_b = HotLoopInstList::B_Buffer_Load_Inst_Num;
|
||||
constexpr auto num_dswrite_per_issue_b = 0;
|
||||
constexpr auto num_dsread_per_issue_b = num_ds_read_inst_b / num_issue_b;
|
||||
|
||||
constexpr auto num_mfma_per_issue =
|
||||
HotLoopInstList::C_MFMA_Inst_Num / (num_issue_a + num_issue_b);
|
||||
|
||||
static_for<0, num_issue_a, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
static_for<0, num_dsread_per_issue_a, 1>{}([&](auto idsread) {
|
||||
ignore = idsread;
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
|
||||
static_for<0, num_dswrite_per_issue_a, 1>{}([&](auto idswrite) {
|
||||
ignore = idswrite;
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008,
|
||||
num_mfma_per_issue - num_dsread_per_issue_a -
|
||||
num_dswrite_per_issue_a,
|
||||
0); // MFMA
|
||||
});
|
||||
|
||||
static_for<0, num_issue_b, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
static_for<0, num_dsread_per_issue_b, 1>{}([&](auto idsread) {
|
||||
ignore = idsread;
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, 1, 0); // DS read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
|
||||
static_for<0, num_dswrite_per_issue_b, 1>{}([&](auto idswrite) {
|
||||
ignore = idswrite;
|
||||
__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
});
|
||||
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
__builtin_amdgcn_sched_group_barrier(0x008,
|
||||
num_mfma_per_issue - num_dsread_per_issue_a -
|
||||
num_dswrite_per_issue_b,
|
||||
0); // MFMA
|
||||
});
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
}
|
||||
|
||||
template <bool HasMainLoop,
|
||||
TailNumber TailNum,
|
||||
typename AGridDesc,
|
||||
typename ABlockDesc,
|
||||
typename ABlockTransfer,
|
||||
typename AGridBuffer,
|
||||
typename ABlockBuffer,
|
||||
typename ABlockTransferStep,
|
||||
typename BGridDesc,
|
||||
typename BBlockDesc,
|
||||
typename BBlockTransfer,
|
||||
typename BGridBuffer,
|
||||
typename BBlockBuffer,
|
||||
typename BBlockTransferStep,
|
||||
typename CThreadBuffer>
|
||||
__device__ void Run(const AGridDesc& a_grid_desc,
|
||||
const ABlockDesc& a_block_desc,
|
||||
ABlockTransfer& a_blockwise_copy,
|
||||
const AGridBuffer& a_grid_buf,
|
||||
ABlockBuffer& a_block_buf,
|
||||
const ABlockTransferStep& a_block_copy_step,
|
||||
const BGridDesc& b_grid_desc,
|
||||
const BBlockDesc& b_block_desc,
|
||||
BBlockTransfer& b_blockwise_copy,
|
||||
const BGridBuffer& b_grid_buf,
|
||||
BBlockBuffer& b_block_buf,
|
||||
const BBlockTransferStep& b_block_copy_step,
|
||||
CThreadBuffer& c_thread_buf,
|
||||
index_t num_loop) const
|
||||
{
|
||||
auto a_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataTypeBuf>(
|
||||
a_thread_desc_.GetElementSpaceSize());
|
||||
auto b_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataTypeBuf>(
|
||||
b_thread_desc_.GetElementSpaceSize());
|
||||
|
||||
StaticallyIndexedArray<decltype(a_thread_buf), Number<2>{}> a_thread_bufs;
|
||||
StaticallyIndexedArray<decltype(b_thread_buf), Number<2>{}> b_thread_bufs;
|
||||
|
||||
// Global prefetch 1
|
||||
a_blockwise_copy.Run(a_grid_desc, a_grid_buf, a_block_desc, a_block_buf.At(I0));
|
||||
b_blockwise_copy.Run(b_grid_desc, b_grid_buf, b_block_desc, b_block_buf.At(I0));
|
||||
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
|
||||
block_sync_lds_direct_load();
|
||||
|
||||
// Local prefetch 1
|
||||
static_for<0, KRepeat, 1>{}([&](auto k) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k,
|
||||
make_tuple(m0, I0, I0, Number<k * AMmaKStride>{}),
|
||||
a_block_buf.At(I0),
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, k, I0),
|
||||
a_thread_bufs(I0));
|
||||
});
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
b_thread_copy_.Run(b_block_desc_n0_n1_n2_k,
|
||||
make_tuple(n0, I0, I0, Number<k * BMmaKStride>{}),
|
||||
b_block_buf.At(I0),
|
||||
b_thread_desc_,
|
||||
make_tuple(n0, I0, k, I0),
|
||||
b_thread_bufs(I0));
|
||||
});
|
||||
});
|
||||
|
||||
// Global prefetch 2
|
||||
a_blockwise_copy.Run(a_grid_desc, a_grid_buf, a_block_desc, a_block_buf.At(I1));
|
||||
b_blockwise_copy.Run(b_grid_desc, b_grid_buf, b_block_desc, b_block_buf.At(I1));
|
||||
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
|
||||
// Initialize C
|
||||
c_thread_buf.Clear();
|
||||
|
||||
// main body
|
||||
if constexpr(HasMainLoop)
|
||||
{
|
||||
index_t i = 0;
|
||||
// This hot loop has two legacy loopover, to implement the double local buffer strategy
|
||||
do
|
||||
{
|
||||
auto LoopFunc = [&](auto lds_read_buf,
|
||||
auto lds_read_reg_buf,
|
||||
auto lds_write_buf,
|
||||
auto mfma_reg_buf) {
|
||||
block_sync_lds_direct_load();
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k,
|
||||
make_tuple(m0, I0, I0, Number<k * AMmaKStride>{}),
|
||||
a_block_buf.At(lds_read_buf),
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, k, I0),
|
||||
a_thread_bufs(lds_read_reg_buf));
|
||||
});
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
b_thread_copy_.Run(b_block_desc_n0_n1_n2_k,
|
||||
make_tuple(n0, I0, I0, Number<k * BMmaKStride>{}),
|
||||
b_block_buf.At(lds_read_buf),
|
||||
b_thread_desc_,
|
||||
make_tuple(n0, I0, k, I0),
|
||||
b_thread_bufs(lds_read_reg_buf));
|
||||
});
|
||||
});
|
||||
|
||||
a_blockwise_copy.Run(
|
||||
a_grid_desc, a_grid_buf, a_block_desc, a_block_buf.At(lds_write_buf));
|
||||
b_blockwise_copy.Run(
|
||||
b_grid_desc, b_grid_buf, b_block_desc, b_block_buf.At(lds_write_buf));
|
||||
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
vector_type<ComputeDataTypeBuf, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataTypeBuf, KPack> b_thread_vec;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
a_thread_bufs[mfma_reg_buf]
|
||||
[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, k0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
b_thread_bufs[mfma_reg_buf]
|
||||
[Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataTypeBuf,
|
||||
xdlops_gemm.K1PerXdlops>::type;
|
||||
|
||||
constexpr index_t c_offset =
|
||||
c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
|
||||
|
||||
xdlops_gemm.Run(
|
||||
a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec.template AsType<mfma_input_type>(),
|
||||
c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
HotLoopScheduler();
|
||||
};
|
||||
|
||||
LoopFunc(I1, I1, I0, I0);
|
||||
LoopFunc(I0, I0, I1, I1);
|
||||
|
||||
i += HotloopUnroll;
|
||||
} while(i < (num_loop - PrefetchStages));
|
||||
}
|
||||
|
||||
auto ReadWriteCompFunc = [&](auto lds_read_buf,
|
||||
auto lds_read_reg_buf,
|
||||
auto lds_write_buf,
|
||||
auto mfma_reg_buf) {
|
||||
block_sync_lds_direct_load();
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k,
|
||||
make_tuple(m0, I0, I0, Number<k * AMmaKStride>{}),
|
||||
a_block_buf.At(lds_read_buf),
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, k, I0),
|
||||
a_thread_bufs(lds_read_reg_buf));
|
||||
});
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
b_thread_copy_.Run(b_block_desc_n0_n1_n2_k,
|
||||
make_tuple(n0, I0, I0, Number<k * BMmaKStride>{}),
|
||||
b_block_buf.At(lds_read_buf),
|
||||
b_thread_desc_,
|
||||
make_tuple(n0, I0, k, I0),
|
||||
b_thread_bufs(lds_read_reg_buf));
|
||||
});
|
||||
});
|
||||
|
||||
a_blockwise_copy.Run(
|
||||
a_grid_desc, a_grid_buf, a_block_desc, a_block_buf.At(lds_write_buf));
|
||||
b_blockwise_copy.Run(
|
||||
b_grid_desc, b_grid_buf, b_block_desc, b_block_buf.At(lds_write_buf));
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
vector_type<ComputeDataTypeBuf, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataTypeBuf, KPack> b_thread_vec;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
a_thread_bufs[mfma_reg_buf][Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, k0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
b_thread_bufs[mfma_reg_buf][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataTypeBuf, xdlops_gemm.K1PerXdlops>::type;
|
||||
|
||||
constexpr index_t c_offset =
|
||||
c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
|
||||
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec.template AsType<mfma_input_type>(),
|
||||
c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
HotLoopScheduler();
|
||||
};
|
||||
|
||||
auto ReadCompFunc = [&](auto lds_read_buf, auto lds_read_reg_buf, auto mfma_reg_buf) {
|
||||
block_sync_lds_direct_load();
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k,
|
||||
make_tuple(m0, I0, I0, Number<k * AMmaKStride>{}),
|
||||
a_block_buf.At(lds_read_buf),
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, k, I0),
|
||||
a_thread_bufs(lds_read_reg_buf));
|
||||
});
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
b_thread_copy_.Run(b_block_desc_n0_n1_n2_k,
|
||||
make_tuple(n0, I0, I0, Number<k * BMmaKStride>{}),
|
||||
b_block_buf.At(lds_read_buf),
|
||||
b_thread_desc_,
|
||||
make_tuple(n0, I0, k, I0),
|
||||
b_thread_bufs(lds_read_reg_buf));
|
||||
});
|
||||
});
|
||||
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
vector_type<ComputeDataTypeBuf, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataTypeBuf, KPack> b_thread_vec;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
a_thread_bufs[mfma_reg_buf][Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, k0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
b_thread_bufs[mfma_reg_buf][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataTypeBuf, xdlops_gemm.K1PerXdlops>::type;
|
||||
|
||||
constexpr index_t c_offset =
|
||||
c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
|
||||
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec.template AsType<mfma_input_type>(),
|
||||
c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
HotLoopScheduler();
|
||||
};
|
||||
|
||||
auto CompFunc = [&](auto mfma_reg_buf) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
vector_type<ComputeDataTypeBuf, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataTypeBuf, KPack> b_thread_vec;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
a_thread_bufs[mfma_reg_buf][Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, k0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataTypeBuf>()(ik) =
|
||||
b_thread_bufs[mfma_reg_buf][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataTypeBuf, xdlops_gemm.K1PerXdlops>::type;
|
||||
|
||||
constexpr index_t c_offset =
|
||||
c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
|
||||
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec.template AsType<mfma_input_type>(),
|
||||
c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
};
|
||||
// tail
|
||||
if constexpr(TailNum == TailNumber::Odd)
|
||||
{
|
||||
ReadWriteCompFunc(I1, I1, I0, I0);
|
||||
ReadCompFunc(I0, I0, I1);
|
||||
CompFunc(I0);
|
||||
}
|
||||
else if constexpr(TailNum == TailNumber::Even)
|
||||
{
|
||||
ReadCompFunc(I1, I1, I0);
|
||||
CompFunc(I1);
|
||||
}
|
||||
}
|
||||
|
||||
protected:
|
||||
using Base::a_thread_copy_;
|
||||
using Base::a_thread_desc_;
|
||||
using Base::b_thread_copy_;
|
||||
using Base::b_thread_desc_;
|
||||
using Base::c_thread_desc_;
|
||||
};
|
||||
|
||||
} // namespace ck
|
||||
|
||||
Reference in New Issue
Block a user