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https://github.com/ROCm/composable_kernel.git
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f5b0af2272
We only want to import enums and types into the builder reflection code. But, some of the enums are included in much larger files or even big trees of include files. This leads to unintended mixing of code and very confusing interactions and symbol conflicts. We organize the includes and extract two new enum-only headers to help with decoupling in CK. This refactoring is critical if we want to include reflection in a device-operator "describe" method. * Remove a few unnecessary includes from headers in builder/reflect/. * Extract enums scheduler and pipeline to their own headers so they can be used without importing other code. * Order includes alphabetically for better organization. The immediate goal is to unblock reflection integration, and this type of cleanup helps the flexibility and robustness of the CK header library.
135 lines
7.1 KiB
C++
135 lines
7.1 KiB
C++
// 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_tile_grouped_convolution_backward_data.hpp"
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#include "ck_tile/ops/epilogue/cshuffle_epilogue.hpp"
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namespace {
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TEST(InstanceTraits, TileInstanceStringReturnsCorrectFormat)
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{
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using GroupedConvTraitsType =
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ck_tile::GroupedConvTraits<2 /*NDimSpatial*/,
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ck_tile::ConvolutionSpecialization::Default /*ConvSpec*/,
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ck_tile::tensor_layout::convolution::NHWGC /*InLayout*/,
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ck_tile::tensor_layout::convolution::GKYXC /*WeiLayout*/,
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ck_tile::tuple<> /*DsLayout*/,
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ck_tile::tensor_layout::convolution::NHWGK /*OutLayout*/,
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4 /*VectorSizeA*/,
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4 /*VectorSizeB*/,
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4 /*VectorSizeC*/,
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1 /*NumGroupsToMerge*/,
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false /*EnableSplitImage*/,
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false /*ExplicitGemm*/>;
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using GemmShape = ck_tile::TileGemmShape<
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ck_tile::sequence<128 /*M_Tile*/, 128 /*N_Tile*/, 32 /*K_Tile*/>,
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ck_tile::sequence<4 /*M_Warp*/, 1 /*N_Warp*/, 1 /*K_Warp*/>,
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ck_tile::sequence<16 /*M_Warp_Tile*/, 16 /*N_Warp_Tile*/, 16 /*K_Warp_Tile*/>>;
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using TilePartitioner = ck_tile::GemmSpatiallyLocalTilePartitioner<
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GemmShape,
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GroupedConvTraitsType::FixedGemmParams::TilePartitionerGroupNum,
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GroupedConvTraitsType::FixedGemmParams::TilePartitionerM01>;
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using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<
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GroupedConvTraitsType::FixedGemmParams::kPadM,
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GroupedConvTraitsType::FixedGemmParams::kPadN,
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GroupedConvTraitsType::FixedGemmParams::kPadK,
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false /*DoubleSmemBuffer*/,
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typename GroupedConvTraitsType::AsLayoutBwdData,
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typename GroupedConvTraitsType::BsLayoutBwdData,
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typename GroupedConvTraitsType::CLayoutBwdData,
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GroupedConvTraitsType::FixedGemmParams::TransposeC,
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GroupedConvTraitsType::FixedGemmParams::UseStructuredSparsity,
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GroupedConvTraitsType::FixedGemmParams::Persistent,
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1 /*NumWaveGroups*/>;
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using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<
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ck_tile::bf16_t /*OutDataType*/,
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ck_tile::bf16_t /*WeiDataType*/,
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float /*AccDataType*/,
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GemmShape,
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GemmUniversalTraits,
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ck_tile::GemmPipelineScheduler::Intrawave /*scheduler*/,
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ck_tile::element_wise::PassThrough /*AElementwiseOperation*/,
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ck_tile::element_wise::PassThrough /*BElementwiseOperation*/,
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ck_tile::bf16_t /*InDataType*/,
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GroupedConvTraitsType::FixedGemmParams::FixedVectorSize,
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GroupedConvTraitsType::VectorSizeA,
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GroupedConvTraitsType::VectorSizeB>;
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using GemmPipeline = typename ck_tile::GemmPipelineAgBgCrCompV3<UniversalGemmProblem>;
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using ConvEpilogue = ck_tile::CShuffleEpilogue<
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ck_tile::CShuffleEpilogueProblem<ck_tile::bf16_t /*OutDataType*/,
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ck_tile::bf16_t /*WeiDataType*/,
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ck_tile::tuple<> /*DsDataType*/,
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float /*AccDataType*/,
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ck_tile::bf16_t /*InDataType*/,
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typename GroupedConvTraitsType::ImplicitGemmDsLayout,
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typename GroupedConvTraitsType::FixedGemmParams::ELayout,
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ck_tile::element_wise::PassThrough /*CDElementWise*/,
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128 /*MPerBlock*/,
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128 /*NPerBlock*/,
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4 /*M_Warp*/,
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1 /*N_Warp*/,
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16 /*M_Warp_Tile*/,
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16 /*N_Warp_Tile*/,
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16 /*K_Warp_Tile*/,
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GroupedConvTraitsType::FixedGemmParams::TransposeC,
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ck_tile::memory_operation_enum::set /*memory_operation*/,
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1 /*kNumWaveGroups*/,
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GroupedConvTraitsType::FixedGemmParams::FixedVectorSize,
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GroupedConvTraitsType::VectorSizeC>>;
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using GroupedConvBwdDataKernel =
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ck_tile::GroupedConvolutionBackwardDataKernel<GroupedConvTraitsType,
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TilePartitioner,
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GemmPipeline,
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ConvEpilogue>;
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std::string instance_str = ck_tile::reflect::instance_string<GroupedConvBwdDataKernel>();
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std::string expected_str = "GroupedConvolutionBackwardDataKernel"
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"<2" // NDimSpatial
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",Default" // ConvSpecialization
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",NHWGC" // InLayout
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",GKYXC" // WeiLayout
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",EmptyTuple" // DsLayout
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",NHWGK" // OutLayout
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",4" // VectorSizeA
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",4" // VectorSizeB
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",4" // VectorSizeC
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",1" // NumGroupsToMerge
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",0" // EnableSplitImage
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",0" // ExplicitGemm
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",128" // MPerBlock
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",128" // NPerBlock
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",32" // KPerBlock
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",4" // MWarp
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",1" // NWarp
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",1" // KWarp
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",16" // MWarpTile
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",16" // NWarpTile
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",16" // KWarpTile
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",bf16" // ADataType
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",bf16" // BDataType
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",COMPUTE_V3" // BlkGemmPipelineVer
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",Intrawave" // BlkGemmPipeSched
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",0" // DoubleSmemBuffer
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",1" // NumWaveGroups
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",fp32" // AccDataType
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",bf16" // EDataType
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",EmptyTuple" // DsDataType
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",PassThrough" // CDEElementwiseOperation
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">";
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EXPECT_EQ(instance_str, expected_str);
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}
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} // anonymous namespace
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