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https://github.com/ROCm/composable_kernel.git
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e7dca79d27
* initial stream-k implementation with example * fix unexpected change in err * improve a little bit performance by reorganize pipeline. * improve perf a little bit by swizzle block idx * add profiler * update example * fix spelling * shrink karg for streamk * support dynamic buffer using memory coherence glc_slc bit from template * control memory coherence while construct dynamic buffer * update reduction for streamk(not ready yet) * Add template parameter to make_dynamic_buffer to support amd_buffer coherence setting * fix build issue * fix several bug * now result is correct, everything works (but has scratch) * remove scratch by manually reset coordinate * update device code * fix a bug in final reduce * fix something in example * update async memset * fix enum as camel case * modify coherence enum name * clean code and use atomic streamk by default * remove unused var * throw exception if have empty pointer * fix format * fix CI warning * fix type in init * modify CI error * filter out on gfx10+ * restore changed example code --------- Co-authored-by: Qianfeng Zhang <Qianfeng.Zhang@amd.com>
50 lines
4.7 KiB
C++
50 lines
4.7 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#include "common.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_xdl_streamk.hpp"
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using ADataType = ck::half_t;
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using BDataType = ck::half_t;
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using AccDataType = float;
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using CShuffleDataType = float;
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using CDataType = ck::half_t;
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using F16 = ck::half_t;
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using ALayout = Row;
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using BLayout = 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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// clang-format off
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using DeviceGemmStreamK = ck::tensor_operation::device::DeviceGemmXdlStreamK
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// ######| AData| BData| CData| AccData| ALayout| BLayout| CLayout| A| B| C| Block| MPer| NPer| K0Per| 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| 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_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_NWaveNPerXdl| _NWaveNPerXdl|
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// ######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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< ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, 256, 128, 128, 4, 8, 32, 32, 2, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 32, 1, 8>, 8>;
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// < ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, 256, 256, 128, 4, 8, 32, 32, 4, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 1, 1, 1, S<1, 32, 1, 8>, 8>;
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// < ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, 128, 32, 64, 4, 8, 32, 32, 1, 1, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 16, 1, 8>, 8>;
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// < ADataType, BDataType, CDataType, AccDataType, ALayout, BLayout, CLayout, AElementOp, BElementOp, CElementOp, 128, 32, 128, 4, 8, 32, 32, 1, 1, S<8, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<8, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 1, 1, 1, S<1, 32, 1, 4>, 8>;
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// // clang-format on
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// clang-format on
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using DeviceGemmInstance = DeviceGemmStreamK;
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using ReferenceGemmInstance = ck::tensor_operation::host::
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ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
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#include "run_gemm_example.inc"
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int main(int argc, char* argv[]) { return !run_gemm_streamk_example(argc, argv); }
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