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Implement direct loads split-K GEMM kernel (#1137)
* WIP: Implement direct loads split-K GEMM kernel
* Clean the review
---------
Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
[ROCm/composable_kernel commit: 6951858221]
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@@ -10,6 +10,9 @@ foreach(gpu IN LISTS GPU_TARGETS)
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add_example_executable(example_splitK_gemm_xdl_fp16 splitK_gemm_xdl_fp16.cpp)
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add_example_dependencies(example_splitK_gemm_xdl example_splitK_gemm_xdl_fp16)
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add_example_executable(example_splitK_gemm_xdl_lds_direct_load_fp16 splitK_gemm_xdl_lds_direct_load_fp16.cpp)
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add_example_dependencies(example_splitK_gemm_xdl example_splitK_gemm_xdl_lds_direct_load_fp16)
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add_example_executable(example_splitK_gemm_xdl_bf16 splitK_gemm_xdl_bf16.cpp)
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add_example_dependencies(example_splitK_gemm_xdl example_splitK_gemm_xdl_bf16)
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@@ -0,0 +1,82 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#include <iostream>
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#include <numeric>
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#include <initializer_list>
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#include <cstdlib>
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#define DIRECT_LOAD 1
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#if DIRECT_LOAD
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_splitk_c_shuffle_lds_direct_load.hpp"
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#else
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_splitk_c_shuffle.hpp"
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#endif
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "ck/library/utility/check_err.hpp"
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#include "ck/library/utility/device_memory.hpp"
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#include "ck/library/utility/host_tensor.hpp"
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#include "ck/library/utility/host_tensor_generator.hpp"
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#include "ck/library/reference_tensor_operation/cpu/reference_gemm.hpp"
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#include "ck/library/utility/literals.hpp"
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template <ck::index_t... Is>
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using S = ck::Sequence<Is...>;
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using F16 = ck::half_t;
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using F32 = float;
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using Row = ck::tensor_layout::gemm::RowMajor;
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using Col = ck::tensor_layout::gemm::ColumnMajor;
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using PassThrough = ck::tensor_operation::element_wise::PassThrough;
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using ADataType = F16;
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using BDataType = F16;
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using AccDataType = F32;
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using CDataType = F16;
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using ALayout = Row;
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using BLayout = Col;
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using CLayout = Row;
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using AElementOp = PassThrough;
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using BElementOp = PassThrough;
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using CElementOp = PassThrough;
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#if DIRECT_LOAD
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::MNKPadding;
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using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffle_LdsDirectLoad
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// clang-format off
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//######| AData| BData| CData| AccData| ALayout| BLayout| CLayout| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| K1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
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//######| Type| Type| Type| Type| | | | Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| AddExtraM| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector|
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//######| | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | Wave| Wave| Lengths_KBatch_K0_M_K1| | | PerVector| | Lengths_KBatch_K0_N_K1| | | PerVector| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl|
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//######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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< ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, GemmDefault, 2, 128, 32, 16, 4, 16, 16, 16, 1, 1, S<1, 2, 8, 8>, S<0, 2, 1, 3>, 3, 2, true, S<1, 2, 8, 8>, S<0, 2, 1, 3>, 3, 2, true, 1, 1, S<1, 32, 1, 4>, 4>;
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// clang-format on
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#else
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static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
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using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffle
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// clang-format off
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//######| AData| BData| CData| AccData| ALayout| BLayout| CLayout| A| B| C| GEMM| Block| MPer| NPer| KPer| K1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
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//######| Type| Type| Type| Type| | | | Elementwise| Elementwise| Elementwise| Spacialization| Size| Block| Block| Block| | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector|
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//######| | | | | | | | Operation| Operation| Operation| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl|
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//######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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< ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, GemmDefault, 256, 256, 128, 4, 8, 32, 32, 4, 2, S<1, 4, 64, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, true, S<1, 4, 64, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 3, 8, 8, true, 1, 1, S<1, 32, 1, 8>, 8>;
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// clang-format on
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#endif
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#include "run_splitK_gemm_example.inc"
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int main(int argc, char* argv[]) { return !run_splitK_gemm_example(argc, argv); }
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