mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-05 14:11:29 +00:00
[GEMM] F8 GEMM, performance optimized. (#1384)
* add ab_scale init support
* enabled interwave
* add scale type; update isSupport
* adjust example
* clean
* enable f8 pure gemm rcr ckprofiler
* Add gemm_multiply_multiply instances
* clang format
* Optimize for ScaleBlockMNK=128
* enable abscale f8 gemm ck profiler
* Add pure f8 gemm test suite
* Reverting to the state of project at f60fd77
* update copyright
* clang format
* update copyright
---------
Co-authored-by: root <jizhan@amd.com>
This commit is contained in:
Haocong WANG
@@ -1,5 +1,5 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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@@ -182,18 +182,6 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
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if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1 ||
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BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
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{
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#if 0
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if(arg.KBatch > 1)
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy>;
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Run(kernel);
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}
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else
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#endif
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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@@ -206,121 +194,6 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
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// Tail number could be One to Seven
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v2)
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{
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#if 0
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if(arg.KBatch > 1)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::One)
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::One>;
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Run(kernel);
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}
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else if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
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TailNumber::Full)
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Full>;
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Run(kernel);
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}
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if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 2)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Two)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Two>;
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Run(kernel);
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}
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}
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if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 3)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
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TailNumber::Three)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Three>;
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Run(kernel);
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}
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}
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if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 4)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
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TailNumber::Four)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Four>;
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Run(kernel);
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}
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}
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if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 5)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
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TailNumber::Five)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Five>;
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Run(kernel);
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}
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}
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if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 6)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Six)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Six>;
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Run(kernel);
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}
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}
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if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 7)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
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TailNumber::Seven)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Seven>;
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Run(kernel);
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}
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}
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}
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else
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#endif
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::One)
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{
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@@ -436,32 +309,7 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
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// Tail number could be Odd or Even
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else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v4)
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{
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#if 0
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if(arg.KBatch > 1)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3_2lds<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Odd>;
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Run(kernel);
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}
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else
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{
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const auto kernel = kernel_gemm_xdl_cshuffle_v3_2lds<
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GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Even>;
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Run(kernel);
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}
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}
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else
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#endif
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
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{
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@@ -487,32 +335,6 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
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}
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else
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{
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#if 0
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if(arg.KBatch > 1)
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Odd>;
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Run(kernel);
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}
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else
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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true,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy,
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TailNumber::Even>;
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Run(kernel);
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}
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}
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else
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#endif
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{
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if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Odd)
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{
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@@ -542,18 +364,6 @@ struct DeviceGemmMultiD_Xdl_CShuffle_V3 : public DeviceGemmMultipleD<ALayout,
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// Tail number always 1
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if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
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{
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#if 0
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if(arg.KBatch > 1)
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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false,
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InMemoryDataOperationEnum::AtomicAdd,
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minimum_occupancy>;
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Run(kernel);
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}
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else
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#endif
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{
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const auto kernel =
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kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
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@@ -0,0 +1,516 @@
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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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#pragma once
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#include <iostream>
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#include <sstream>
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#include "ck/utility/common_header.hpp"
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#include "ck/tensor_description/tensor_descriptor.hpp"
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#include "ck/tensor_description/tensor_descriptor_helper.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/device_gemm_multiple_d_ab_scale.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#include "ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v3_multi_d_ab_scale.hpp"
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#include "ck/host_utility/device_prop.hpp"
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#include "ck/host_utility/kernel_launch.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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template <typename ALayout,
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typename BLayout,
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typename DsLayout,
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typename CLayout,
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typename ADataType,
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typename AScaleDataType,
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typename BDataType,
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typename BScaleDataType,
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typename DsDataType,
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typename CDataType,
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typename GemmAccDataType,
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typename CShuffleDataType,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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GemmSpecialization GemmSpec,
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index_t BlockSize,
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index_t ScaleBlockM,
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index_t ScaleBlockN,
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index_t ScaleBlockK,
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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 AK1,
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index_t BK1,
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index_t MPerXDL,
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index_t NPerXDL,
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index_t MXdlPerWave,
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index_t NXdlPerWave,
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typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
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typename ABlockTransferThreadClusterArrangeOrder,
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typename ABlockTransferSrcAccessOrder,
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index_t ABlockTransferSrcVectorDim,
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index_t ABlockTransferSrcScalarPerVector,
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index_t ABlockTransferDstScalarPerVector_AK1,
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bool ABlockLdsExtraM,
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typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
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typename BBlockTransferThreadClusterArrangeOrder,
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typename BBlockTransferSrcAccessOrder,
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index_t BBlockTransferSrcVectorDim,
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index_t BBlockTransferSrcScalarPerVector,
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index_t BBlockTransferDstScalarPerVector_BK1,
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bool BBlockLdsExtraN,
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index_t CShuffleMXdlPerWavePerShuffle,
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index_t CShuffleNXdlPerWavePerShuffle,
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typename CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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typename CDEShuffleBlockTransferScalarPerVectors,
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BlockGemmPipelineScheduler BlkGemmPipeSched = BlockGemmPipelineScheduler::Intrawave,
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BlockGemmPipelineVersion BlkGemmPipelineVer = BlockGemmPipelineVersion::v1,
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typename ComputeTypeA = CDataType,
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typename ComputeTypeB = ComputeTypeA,
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typename LDSTypeA = ComputeTypeA,
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typename LDSTypeB = ComputeTypeB>
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struct DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3
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: public DeviceGemmMultipleD_ABScale<ALayout,
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BLayout,
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DsLayout,
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CLayout,
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ADataType,
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AScaleDataType,
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BDataType,
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BScaleDataType,
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DsDataType,
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CDataType,
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ScaleBlockM,
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ScaleBlockN,
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ScaleBlockK,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation>
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{
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static constexpr index_t NumDTensor = DsDataType::Size();
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// GridwiseGemm
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using GridwiseGemm = GridwiseGemmMultiD_ABScale_xdl_cshuffle_v3<
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ALayout,
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BLayout,
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DsLayout,
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CLayout,
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ADataType,
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BDataType,
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GemmAccDataType,
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CShuffleDataType,
|
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DsDataType,
|
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CDataType,
|
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AElementwiseOperation,
|
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BElementwiseOperation,
|
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CElementwiseOperation,
|
||||
GemmSpec,
|
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BlockSize,
|
||||
ScaleBlockM,
|
||||
ScaleBlockN,
|
||||
ScaleBlockK,
|
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MPerBlock,
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NPerBlock,
|
||||
KPerBlock,
|
||||
AK1,
|
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BK1,
|
||||
MPerXDL,
|
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NPerXDL,
|
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MXdlPerWave,
|
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NXdlPerWave,
|
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ABlockTransferThreadClusterLengths_AK0_M_AK1,
|
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ABlockTransferThreadClusterArrangeOrder,
|
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ABlockTransferSrcAccessOrder,
|
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ABlockTransferSrcVectorDim,
|
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ABlockTransferSrcScalarPerVector,
|
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ABlockTransferDstScalarPerVector_AK1,
|
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false,
|
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ABlockLdsExtraM,
|
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BBlockTransferThreadClusterLengths_BK0_N_BK1,
|
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BBlockTransferThreadClusterArrangeOrder,
|
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BBlockTransferSrcAccessOrder,
|
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BBlockTransferSrcVectorDim,
|
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BBlockTransferSrcScalarPerVector,
|
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BBlockTransferDstScalarPerVector_BK1,
|
||||
false,
|
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BBlockLdsExtraN,
|
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CShuffleMXdlPerWavePerShuffle,
|
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CShuffleNXdlPerWavePerShuffle,
|
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CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
|
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CDEShuffleBlockTransferScalarPerVectors,
|
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BlkGemmPipeSched,
|
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BlkGemmPipelineVer,
|
||||
ComputeTypeA,
|
||||
ComputeTypeB,
|
||||
LDSTypeA,
|
||||
LDSTypeB>;
|
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|
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using Argument = typename GridwiseGemm::Argument;
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|
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// Invoker
|
||||
struct Invoker : public BaseInvoker
|
||||
{
|
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float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
|
||||
{
|
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if(stream_config.log_level_ > 0)
|
||||
{
|
||||
arg.Print();
|
||||
}
|
||||
|
||||
if(!GridwiseGemm::CheckValidity(arg))
|
||||
{
|
||||
throw std::runtime_error("wrong! GridwiseGemm has invalid setting");
|
||||
}
|
||||
|
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index_t gdx, gdy, gdz;
|
||||
std::tie(gdx, gdy, gdz) = GridwiseGemm::CalculateGridSize(arg.M, arg.N, arg.KBatch);
|
||||
|
||||
float ave_time = 0;
|
||||
|
||||
index_t k_grain = arg.KBatch * KPerBlock;
|
||||
index_t K_split = (arg.K + k_grain - 1) / k_grain * KPerBlock;
|
||||
|
||||
const bool has_main_k_block_loop = GridwiseGemm::CalculateHasMainKBlockLoop(K_split);
|
||||
|
||||
const auto Run = [&](const auto& kernel) {
|
||||
if(arg.KBatch > 1)
|
||||
hipGetErrorString(hipMemsetAsync(arg.p_c_grid,
|
||||
0,
|
||||
arg.M * arg.N * sizeof(CDataType),
|
||||
stream_config.stream_id_));
|
||||
|
||||
ave_time = launch_and_time_kernel(
|
||||
stream_config, kernel, dim3(gdx, gdy, gdz), dim3(BlockSize), 0, arg);
|
||||
};
|
||||
|
||||
constexpr index_t minimum_occupancy =
|
||||
(BlkGemmPipeSched == BlockGemmPipelineScheduler::Intrawave &&
|
||||
MPerBlock * NPerBlock / BlockSize > 64)
|
||||
? 1
|
||||
: 2;
|
||||
|
||||
if(has_main_k_block_loop)
|
||||
{
|
||||
// Tail number always 1
|
||||
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1 ||
|
||||
BlkGemmPipelineVer == BlockGemmPipelineVersion::v3)
|
||||
{
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
// Tail number could be One to Seven
|
||||
else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v2)
|
||||
{
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::One)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::One>;
|
||||
Run(kernel);
|
||||
}
|
||||
else if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
|
||||
TailNumber::Full)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Full>;
|
||||
Run(kernel);
|
||||
}
|
||||
|
||||
if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 2)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Two)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Two>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 3)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
|
||||
TailNumber::Three)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Three>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 4)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
|
||||
TailNumber::Four)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Four>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 5)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
|
||||
TailNumber::Five)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Five>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 6)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) == TailNumber::Six)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Six>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr(GridwiseGemm::BlockwiseGemmPipe::PrefetchStages > 7)
|
||||
{
|
||||
if(GridwiseGemm::CalculateKBlockLoopTailNum(K_split) ==
|
||||
TailNumber::Seven)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy,
|
||||
TailNumber::Seven>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
// Tail number always 1
|
||||
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
|
||||
{
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_xdl_cshuffle_v3<GridwiseGemm,
|
||||
false,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
minimum_occupancy>;
|
||||
Run(kernel);
|
||||
}
|
||||
}
|
||||
}
|
||||
return ave_time;
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
float Run(const BaseArgument* p_arg,
|
||||
const StreamConfig& stream_config = StreamConfig{}) override
|
||||
{
|
||||
return Run(*dynamic_cast<const Argument*>(p_arg), stream_config);
|
||||
}
|
||||
};
|
||||
|
||||
static constexpr bool IsValidCompilationParameter()
|
||||
{
|
||||
// TODO: properly implement this check
|
||||
return true;
|
||||
}
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!ck::is_xdl_supported())
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
if(ScaleBlockM % MPerBlock != 0 || ScaleBlockN % NPerBlock != 0 || ScaleBlockK != KPerBlock)
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
if((arg.K % AK1 != 0 || arg.K % BK1 != 0) && !(GemmSpec == GemmSpecialization::MKPadding ||
|
||||
GemmSpec == GemmSpecialization::NKPadding ||
|
||||
GemmSpec == GemmSpecialization::MNKPadding ||
|
||||
GemmSpec == GemmSpecialization::KPadding))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemm::CheckValidity(arg);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
bool IsSupportedArgument(const BaseArgument* p_arg) override
|
||||
{
|
||||
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
|
||||
}
|
||||
|
||||
static auto MakeArgument(const void* p_a,
|
||||
const void* p_b,
|
||||
std::array<const void*, NumDTensor> p_ds,
|
||||
void* p_c,
|
||||
const index_t M,
|
||||
const index_t N,
|
||||
const index_t K,
|
||||
const index_t StrideA,
|
||||
const index_t StrideB,
|
||||
const std::array<index_t, NumDTensor> StrideDs,
|
||||
const index_t StrideC,
|
||||
const void* p_a_scale,
|
||||
const void* p_b_scale,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op)
|
||||
{
|
||||
return Argument{static_cast<const ADataType*>(p_a),
|
||||
static_cast<const BDataType*>(p_b),
|
||||
p_ds,
|
||||
static_cast<CDataType*>(p_c),
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideDs,
|
||||
StrideC,
|
||||
static_cast<const AScaleDataType*>(p_a_scale),
|
||||
static_cast<const BScaleDataType*>(p_b_scale),
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op};
|
||||
}
|
||||
|
||||
static auto MakeInvoker() { return Invoker{}; }
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseArgument>
|
||||
MakeArgumentPointer(const void* p_a,
|
||||
const void* p_b,
|
||||
std::array<const void*, NumDTensor> p_ds,
|
||||
void* p_c,
|
||||
const index_t M,
|
||||
const index_t N,
|
||||
const index_t K,
|
||||
const index_t StrideA,
|
||||
const index_t StrideB,
|
||||
const std::array<ck::index_t, NumDTensor> StrideDs,
|
||||
const index_t StrideC,
|
||||
const void* p_a_scale,
|
||||
const void* p_b_scale,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op) override
|
||||
{
|
||||
return std::make_unique<Argument>(static_cast<const ADataType*>(p_a),
|
||||
static_cast<const BDataType*>(p_b),
|
||||
p_ds,
|
||||
static_cast<CDataType*>(p_c),
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideDs,
|
||||
StrideC,
|
||||
static_cast<const AScaleDataType*>(p_a_scale),
|
||||
static_cast<const BScaleDataType*>(p_b_scale),
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
|
||||
{
|
||||
return std::make_unique<Invoker>(Invoker{});
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
std::map<BlockGemmPipelineScheduler, std::string> BlkGemmPipelineSchedulerToString{
|
||||
{BlockGemmPipelineScheduler::Intrawave, "Intrawave"},
|
||||
{BlockGemmPipelineScheduler::Interwave, "Interwave"}};
|
||||
|
||||
std::map<BlockGemmPipelineVersion, std::string> BlkGemmPipelineVersionToString{
|
||||
{BlockGemmPipelineVersion::v1, "v1"},
|
||||
{BlockGemmPipelineVersion::v2, "v2"},
|
||||
{BlockGemmPipelineVersion::v3, "v3"}};
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmXdlUniversal"
|
||||
<< "<"
|
||||
<< getGemmSpecializationString(GemmSpec) << ", "
|
||||
<< std::string(ALayout::name)[0]
|
||||
<< std::string(BLayout::name)[0]
|
||||
<< std::string(CLayout::name)[0]
|
||||
<< ">"
|
||||
<< " BlkSize: "
|
||||
<< BlockSize << ", "
|
||||
<< "BlkTile: "
|
||||
<< MPerBlock<<"x"<<NPerBlock<<"x"<<KPerBlock << ", "
|
||||
<< "WaveTile: "
|
||||
<< MPerXDL<<"x"<<NPerXDL << ", "
|
||||
<< "WaveMap: "
|
||||
<< MXdlPerWave<<"x" << NXdlPerWave<<", "
|
||||
<< "VmemReadVec: "
|
||||
<< ABlockTransferSrcScalarPerVector<<"x"<<BBlockTransferSrcScalarPerVector<<", "
|
||||
<< "BlkGemmPipelineScheduler: "
|
||||
<< BlkGemmPipelineSchedulerToString[BlkGemmPipeSched] << ", "
|
||||
<< "BlkGemmPipelineVersion: "
|
||||
<< BlkGemmPipelineVersionToString[BlkGemmPipelineVer] << ", "
|
||||
<< "BlkGemmPipelinePrefetchStages: "
|
||||
<< GridwiseGemm::BlockwiseGemmPipe::PrefetchStages;
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
Reference in New Issue
Block a user