mirror of
https://github.com/ROCm/composable_kernel.git
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Moe gemm activation (#2026)
* fix useless code and remove usless oob * clang format * fix coredump in e2e test * fix2 * fix clang format * fix output oob * impl int64 but result not correct * int64 index ok now * input output all ok * fix uint32 * revert v1 test * use uint32 * mork to support 13w tokens * moe sorting fix moebuf * fix merge * update moe api fix aiter build * fix buid * fuse silu * silu ok * acale ok * add silu * change code * gemm2 ok * gufusion compatible ok, fix warnings * gu fusion for m32 m64 ok * support bf16 cshuffle * i4 gemm2 ok * i4 gemm2 ok and i4 gemm1 build * 16x16 run ok * change flops; change cshuffle dtype * fuse gelu silu act in moe gemm1 * fp8 with act ready * int4 act ready * remove useless changes * remove useless code change * fix clang format * add the arch limit of int4 moe gemm * fuse moe activation * fix fp8 16x16 * fix no quant case * fix bugs * fix fp8 gufusion bug * remove useless comments * refine activation code & complete moe example * fix int8 bugs * merge tkw1 --------- Co-authored-by: coderfeli <coderfeli@163.com> Co-authored-by: feli <felix.li@amd.com> Co-authored-by: illsilin <Illia.Silin@amd.com> Co-authored-by: root <root@hjbog-srdc-51.amd.com> Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
This commit is contained in:
lalala-sh
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_base.hpp"
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namespace ck {
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// Compute optimized pipeline
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// GlobalPrefetchStages: 2
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// LocalPreFillStages: 1
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// LocalPreFetchStages: 1
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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 BlockwiseGemmXdlops_pipeline_bpreshuffle_gufusion_bdequant_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 BlockwiseGemmXdlops_pipeline_bpreshuffle_gufusion_bdequant_v1<
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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> : 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::A_K1;
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using Base::B_K1;
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using Base::I0;
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using Base::I1;
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using Base::KRepeat;
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using Base::xdlops_gemm;
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using typename Base::HotLoopInstList;
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using Base::a_block_desc_m0_m1_m2_k;
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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::AMmaKStride;
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using Base::BMmaKStride;
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using Base::c_thread_desc_;
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static constexpr index_t PrefetchStages = 2;
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static constexpr index_t PrefillStages = 1;
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static constexpr index_t GlobalBufferNum = 2;
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template <typename TileDesc_M0_M1_M2_K>
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__host__ __device__ static constexpr auto MakeAGemmMmaTileDescriptor(const TileDesc_M0_M1_M2_K&)
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{
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constexpr index_t M0 = TileDesc_M0_M1_M2_K{}.GetLength(Number<0>{});
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constexpr index_t M1 = TileDesc_M0_M1_M2_K{}.GetLength(Number<1>{});
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constexpr index_t M2 = TileDesc_M0_M1_M2_K{}.GetLength(Number<2>{});
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constexpr index_t K2 = KPack;
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constexpr index_t K1 = 64 / NPerXDL;
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constexpr index_t K0 = KRepeat;
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return transform_tensor_descriptor(
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TileDesc_M0_M1_M2_K{},
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make_tuple(
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make_pass_through_transform(Number<M0>{}),
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make_pass_through_transform(Number<M1>{}),
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make_pass_through_transform(Number<M2>{}),
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make_unmerge_transform(make_tuple(Number<K0>{}, Number<K1>{}, Number<K2>{}))),
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make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
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make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3, 4, 5>{}));
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}
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static constexpr auto a_block_desc_m0_m1_m2_k0_k1_k2 =
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MakeAGemmMmaTileDescriptor(a_block_desc_m0_m1_m2_k);
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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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return num_loop % 2 == 0 ? TailNumber::Even : TailNumber::Odd;
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}
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__device__ static constexpr auto HotLoopScheduler()
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{
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constexpr auto num_ds_read_inst_a = HotLoopInstList::A_LDS_Read_Inst_Num;
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constexpr auto num_buffer_load_inst_a = HotLoopInstList::A_Buffer_Load_Inst_Num;
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constexpr auto num_buffer_load_inst_b = HotLoopInstList::B_Buffer_Load_Inst_Num;
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// B global
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static_for<0, num_buffer_load_inst_b, 1>{}([&](auto i) {
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ignore = i;
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__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
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__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
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});
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// A global
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static_for<0, num_buffer_load_inst_a, 1>{}([&](auto i) {
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ignore = i;
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__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
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__builtin_amdgcn_sched_group_barrier(0x200, 1, 0); // DS write
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__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
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__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
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});
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// A local
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static_for<0, num_ds_read_inst_a / 2, 1>{}([&](auto i) {
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ignore = i;
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__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
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__builtin_amdgcn_sched_group_barrier(0x100, 2, 0); // DS read
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});
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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 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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BBlockTransfer& b_blockwise_copy,
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BBlockTransfer& b_blockwise_copy_up,
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const BGridBuffer& b_grid_buf,
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const BGridBuffer& b_grid_buf_up,
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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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CThreadBuffer& c_thread_buf_up,
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index_t num_loop) const
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{
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ignore = b_block_buf;
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__builtin_amdgcn_sched_barrier(0);
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auto a_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataType>(
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a_thread_desc_.GetElementSpaceSize());
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auto b_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, BDataType>(
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b_thread_desc_.GetElementSpaceSize());
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auto b_thread_dequant_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataType>(
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b_thread_desc_.GetElementSpaceSize());
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StaticallyIndexedArray<decltype(b_thread_buf), Number<2>{}> b_thread_bufs;
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StaticallyIndexedArray<decltype(b_thread_buf), Number<2>{}> b_thread_bufs_up;
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constexpr auto b_block_origin_idx = make_tuple(I0, I0, I0, I0);
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StaticallyIndexedArray<decltype(b_thread_dequant_buf), Number<2>{}> b_thread_dequant_bufs;
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StaticallyIndexedArray<decltype(b_thread_dequant_buf), Number<2>{}>
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b_thread_dequant_bufs_up;
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// Global prefetch A1 B1
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a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
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b_blockwise_copy.Run(b_grid_desc,
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b_grid_buf,
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b_block_desc_n0_n1_k0_k1,
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b_block_origin_idx,
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b_thread_bufs(I0));
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b_blockwise_copy_up.Run(b_grid_desc,
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b_grid_buf_up,
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b_block_desc_n0_n1_k0_k1,
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b_block_origin_idx,
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b_thread_bufs_up(I0));
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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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b_blockwise_copy_up.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
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__builtin_amdgcn_sched_barrier(0);
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// // Local prefill A1
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a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
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// // Global prefetch A2
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a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
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a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
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// Local prefetch A1
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block_sync_lds();
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static_for<0, MRepeat, 1>{}([&](auto m0) {
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static_for<0, KRepeat, 1>{}([&](auto k0) {
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a_thread_copy_.Run(a_block_desc_m0_m1_m2_k0_k1_k2,
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make_tuple(m0, I0, I0, k0, I0, I0),
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a_block_buf,
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a_thread_desc_,
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make_tuple(m0, I0, I0, k0, I0, I0),
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a_thread_buf);
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});
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});
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// B VGPR->VGPR dequant
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b_thread_dequant_copy_.Run(b_block_desc_n0_n1_k0_k1,
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b_block_origin_idx,
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b_thread_bufs(I0),
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b_thread_desc_,
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make_tuple(I0, I0, I0, I0),
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b_thread_dequant_bufs(I0));
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b_thread_dequant_copy_.Run(b_block_desc_n0_n1_k0_k1,
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b_block_origin_idx,
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b_thread_bufs_up(I0),
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b_thread_desc_,
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make_tuple(I0, I0, I0, I0),
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b_thread_dequant_bufs_up(I0));
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// Initialize C
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c_thread_buf.Clear();
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c_thread_buf_up.Clear();
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__builtin_amdgcn_sched_barrier(0);
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// main body
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if constexpr(HasMainLoop)
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{
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index_t i = 0;
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do
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{
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auto LoopFunc = [&](auto mfma_reg_buf, auto local_read_buf) {
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b_blockwise_copy.Run(b_grid_desc,
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b_grid_buf,
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b_block_desc_n0_n1_k0_k1,
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b_block_origin_idx,
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b_thread_bufs(local_read_buf));
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b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
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b_blockwise_copy_up.Run(b_grid_desc,
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b_grid_buf_up,
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b_block_desc_n0_n1_k0_k1,
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b_block_origin_idx,
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b_thread_bufs_up(local_read_buf));
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b_blockwise_copy_up.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
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block_sync_lds();
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a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, mfma_reg_buf);
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a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, local_read_buf);
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a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
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static_for<0, MRepeat, 1>{}([&](auto m0) {
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static_for<0, NRepeat, 1>{}([&](auto n0) {
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static_for<0, KRepeat, 1>{}([&](auto k0) {
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vector_type<ComputeDataType, KPack> a_thread_vec;
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vector_type<ComputeDataType, KPack> b_thread_vec;
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vector_type<ComputeDataType, KPack> b_thread_vec_up;
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static_for<0, KPack, 1>{}([&](auto ik) {
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a_thread_vec.template AsType<ComputeDataType>()(ik) =
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a_thread_buf[Number<a_thread_desc_.CalculateOffset(
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make_tuple(m0, I0, I0, k0, I0, ik))>{}];
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b_thread_vec.template AsType<ComputeDataType>()(ik) =
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b_thread_dequant_bufs[mfma_reg_buf]
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[Number<b_thread_desc_.CalculateOffset(
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make_tuple(n0, I0, k0, ik))>{}];
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b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
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b_thread_dequant_bufs_up
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[mfma_reg_buf][Number<b_thread_desc_.CalculateOffset(
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make_tuple(n0, I0, k0, ik))>{}];
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});
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using mfma_input_type =
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typename vector_type<ComputeDataType,
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xdlops_gemm.K1PerXdlops>::type;
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constexpr index_t c_offset =
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c_thread_desc_.CalculateOffset(make_tuple(m0, n0, 0));
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xdlops_gemm.Run(
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a_thread_vec.template AsType<mfma_input_type>(),
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b_thread_vec.template AsType<mfma_input_type>(),
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c_thread_buf.GetVectorTypeReference(Number<c_offset>{}));
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xdlops_gemm.Run(
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a_thread_vec.template AsType<mfma_input_type>(),
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b_thread_vec_up.template AsType<mfma_input_type>(),
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c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
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||||
});
|
||||
});
|
||||
});
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block_sync_lds();
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|
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static_for<0, MRepeat, 1>{}([&](auto m0) {
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static_for<0, KRepeat, 1>{}([&](auto k0) {
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a_thread_copy_.Run(a_block_desc_m0_m1_m2_k0_k1_k2,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_thread_buf);
|
||||
});
|
||||
});
|
||||
// B VGPR->VGPR dequant
|
||||
b_thread_dequant_copy_.Run(b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs(local_read_buf),
|
||||
b_thread_desc_,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
b_thread_dequant_bufs(local_read_buf));
|
||||
b_thread_dequant_copy_.Run(b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs_up(local_read_buf),
|
||||
b_thread_desc_,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
b_thread_dequant_bufs_up(local_read_buf));
|
||||
|
||||
HotLoopScheduler();
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
};
|
||||
|
||||
LoopFunc(I0, I1);
|
||||
LoopFunc(I1, I0);
|
||||
|
||||
i += 2;
|
||||
} while(i < (num_loop - 2));
|
||||
}
|
||||
// tail
|
||||
if constexpr(TailNum == TailNumber::Even)
|
||||
{
|
||||
b_blockwise_copy.Run(b_grid_desc,
|
||||
b_grid_buf,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs(I1));
|
||||
|
||||
b_blockwise_copy_up.Run(b_grid_desc,
|
||||
b_grid_buf_up,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs_up(I1));
|
||||
|
||||
block_sync_lds();
|
||||
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf);
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_dequant_bufs[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_dequant_bufs_up[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType, 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>{}));
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
block_sync_lds();
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k0_k1_k2,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_thread_buf);
|
||||
});
|
||||
});
|
||||
// B VGPR->VGPR dequant
|
||||
b_thread_dequant_copy_.Run(b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs(I1),
|
||||
b_thread_desc_,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
b_thread_dequant_bufs(I1));
|
||||
|
||||
b_thread_dequant_copy_.Run(b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs_up(I1),
|
||||
b_thread_desc_,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
b_thread_dequant_bufs_up(I1));
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_dequant_bufs[I1][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_dequant_bufs_up[I1][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType, 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>{}));
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
// Let's leak last MFMA block to epilogue region, cover the potential lds-shuffle
|
||||
// latency
|
||||
// __builtin_amdgcn_sched_barrier(0);
|
||||
}
|
||||
else
|
||||
{
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_dequant_bufs[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_dequant_bufs_up[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType, 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>{}));
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
protected:
|
||||
// MRepeat MWave MLane KRepeat KLane KPack
|
||||
// KRepeat -> MRepeat-> Mwave->KLane->MLane->KPack
|
||||
static constexpr auto a_thread_desc_ = make_naive_tensor_descriptor_packed(
|
||||
make_tuple(Number<MRepeat>{}, I1, I1, Number<KRepeat>{}, I1, Number<KPack>{}));
|
||||
|
||||
using AThreadCopy = ThreadwiseTensorSliceTransfer_v4<ADataType,
|
||||
ComputeDataType,
|
||||
decltype(a_block_desc_m0_m1_m2_k0_k1_k2),
|
||||
decltype(a_thread_desc_),
|
||||
Sequence<1, 1, 1, 1, 1, KPack>,
|
||||
Sequence<0, 1, 2, 3, 4, 5>,
|
||||
5,
|
||||
A_K1,
|
||||
A_K1>;
|
||||
|
||||
AThreadCopy a_thread_copy_{Base::CalculateAThreadOriginDataIndex6D()};
|
||||
|
||||
static constexpr auto b_thread_desc_ = make_naive_tensor_descriptor_packed(
|
||||
make_tuple(Number<NRepeat>{}, I1, Number<KRepeat>{}, Number<KPack>{}));
|
||||
|
||||
static constexpr BTileDesc b_block_desc_n0_n1_k0_k1;
|
||||
|
||||
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
|
||||
|
||||
using BThreadDequantCopy = ThreadwiseTensorSliceTransfer_StaticToStatic<
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
decltype(b_block_desc_n0_n1_k0_k1),
|
||||
decltype(b_block_desc_n0_n1_k0_k1),
|
||||
tensor_operation::element_wise::PassThrough,
|
||||
Sequence<Number<NRepeat>{}, I1, Number<KRepeat>{}, Number<KPack>{}>,
|
||||
Sequence<1, 2, 0, 3>,
|
||||
3,
|
||||
KPack>;
|
||||
|
||||
const PassThrough b_element_op{};
|
||||
BThreadDequantCopy b_thread_dequant_copy_{b_element_op};
|
||||
};
|
||||
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,573 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_base.hpp"
|
||||
|
||||
namespace ck {
|
||||
|
||||
// Compute optimized pipeline
|
||||
// GlobalPrefetchStages: 2
|
||||
// LocalPreFillStages: 1
|
||||
// LocalPreFetchStages: 1
|
||||
// LocalSharedMemoryBuffer: 1
|
||||
|
||||
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 BlockwiseGemmXdlops_pipeline_bpreshuffle_gufusion_v1
|
||||
{
|
||||
};
|
||||
|
||||
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 BlockwiseGemmXdlops_pipeline_bpreshuffle_gufusion_v1<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::A_K1;
|
||||
using Base::B_K1;
|
||||
using Base::I0;
|
||||
using Base::I1;
|
||||
using Base::KRepeat;
|
||||
using Base::xdlops_gemm;
|
||||
using typename Base::HotLoopInstList;
|
||||
|
||||
using Base::a_block_desc_m0_m1_m2_k;
|
||||
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::AMmaKStride;
|
||||
using Base::BMmaKStride;
|
||||
using Base::c_thread_desc_;
|
||||
using Base::MWaves;
|
||||
|
||||
static constexpr index_t PrefetchStages = 2;
|
||||
static constexpr index_t PrefillStages = 1;
|
||||
static constexpr index_t GlobalBufferNum = 2;
|
||||
|
||||
template <typename TileDesc_M0_M1_M2_K>
|
||||
__host__ __device__ static constexpr auto MakeAGemmMmaTileDescriptor(const TileDesc_M0_M1_M2_K&)
|
||||
{
|
||||
constexpr index_t M0 = TileDesc_M0_M1_M2_K{}.GetLength(Number<0>{});
|
||||
constexpr index_t M1 = TileDesc_M0_M1_M2_K{}.GetLength(Number<1>{});
|
||||
constexpr index_t M2 = TileDesc_M0_M1_M2_K{}.GetLength(Number<2>{});
|
||||
constexpr index_t K2 = KPack;
|
||||
constexpr index_t K1 = 64 / NPerXDL;
|
||||
constexpr index_t K0 = KRepeat;
|
||||
|
||||
return transform_tensor_descriptor(
|
||||
TileDesc_M0_M1_M2_K{},
|
||||
make_tuple(
|
||||
make_pass_through_transform(Number<M0>{}),
|
||||
make_pass_through_transform(Number<M1>{}),
|
||||
make_pass_through_transform(Number<M2>{}),
|
||||
make_unmerge_transform(make_tuple(Number<K0>{}, Number<K1>{}, Number<K2>{}))),
|
||||
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
|
||||
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3, 4, 5>{}));
|
||||
}
|
||||
|
||||
static constexpr auto a_block_desc_m0_m1_m2_k0_k1_k2 =
|
||||
MakeAGemmMmaTileDescriptor(a_block_desc_m0_m1_m2_k);
|
||||
|
||||
__host__ __device__ static constexpr bool BlockHasHotloop(index_t num_loop)
|
||||
{
|
||||
return num_loop > PrefetchStages;
|
||||
}
|
||||
|
||||
__host__ __device__ static constexpr TailNumber BlockLoopTailNum(index_t num_loop)
|
||||
{
|
||||
return num_loop % 2 == 0 ? TailNumber::Even : TailNumber::Odd;
|
||||
}
|
||||
|
||||
__device__ static constexpr auto HotLoopScheduler()
|
||||
{
|
||||
constexpr auto num_ds_read_inst_a = HotLoopInstList::A_LDS_Read_Inst_Num;
|
||||
constexpr auto num_buffer_load_inst_a = HotLoopInstList::A_Buffer_Load_Inst_Num;
|
||||
constexpr auto num_buffer_load_inst_b =
|
||||
HotLoopInstList::B_Buffer_Load_Inst_Num * MWaves * 2;
|
||||
constexpr auto mfma_interleave = MPerXDL == 32 ? 1 : 2;
|
||||
// B global
|
||||
static_for<0, num_buffer_load_inst_b, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
if constexpr(MPerBlock >= 128 && NPerBlock >= 64)
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 2 * mfma_interleave, 0);
|
||||
}
|
||||
else
|
||||
{
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, mfma_interleave, 0);
|
||||
}
|
||||
__builtin_amdgcn_sched_group_barrier(0x020, 1, 0); // VMEM read
|
||||
// if constexpr(i.value < num_buffer_load_inst_a) {
|
||||
// __builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
// __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
|
||||
// }
|
||||
});
|
||||
|
||||
// A global
|
||||
static_for<0, num_buffer_load_inst_a, 1>{}([&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__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
|
||||
});
|
||||
|
||||
// A local
|
||||
static_for<0, MPerXDL == 32 ? num_ds_read_inst_a / 2 : num_ds_read_inst_a, 1>{}(
|
||||
[&](auto i) {
|
||||
ignore = i;
|
||||
__builtin_amdgcn_sched_group_barrier(0x008, 1, 0); // MFMA
|
||||
__builtin_amdgcn_sched_group_barrier(0x100, MPerXDL == 32 ? 2 : 1, 0); // DS read
|
||||
});
|
||||
}
|
||||
|
||||
template <bool HasMainLoop,
|
||||
TailNumber TailNum,
|
||||
typename AGridDesc,
|
||||
typename ABlockDesc,
|
||||
typename ABlockTransfer,
|
||||
typename AGridBuffer,
|
||||
typename ABlockBuffer,
|
||||
typename ABlockTransferStep,
|
||||
typename BGridDesc,
|
||||
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,
|
||||
BBlockTransfer& b_blockwise_copy,
|
||||
BBlockTransfer& b_blockwise_copy_up,
|
||||
const BGridBuffer& b_grid_buf,
|
||||
const BGridBuffer& b_grid_buf_up,
|
||||
BBlockBuffer& b_block_buf,
|
||||
const BBlockTransferStep& b_block_copy_step,
|
||||
CThreadBuffer& c_thread_buf,
|
||||
CThreadBuffer& c_thread_buf_up,
|
||||
index_t num_loop) const
|
||||
{
|
||||
ignore = b_block_buf;
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
auto a_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataType>(
|
||||
a_thread_desc_.GetElementSpaceSize());
|
||||
auto b_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, ComputeDataType>(
|
||||
b_thread_desc_.GetElementSpaceSize());
|
||||
|
||||
StaticallyIndexedArray<decltype(b_thread_buf), Number<2>{}> b_thread_bufs;
|
||||
StaticallyIndexedArray<decltype(b_thread_buf), Number<2>{}> b_thread_bufs_up;
|
||||
constexpr auto b_block_origin_idx = make_tuple(I0, I0, I0, I0);
|
||||
|
||||
// Global prefetch A1 B1
|
||||
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
|
||||
b_blockwise_copy.Run(b_grid_desc,
|
||||
b_grid_buf,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs(I0));
|
||||
b_blockwise_copy_up.Run(b_grid_desc,
|
||||
b_grid_buf_up,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs_up(I0));
|
||||
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
b_blockwise_copy_up.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
// // Local prefill A1
|
||||
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
|
||||
|
||||
// // Global prefetch A2
|
||||
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
|
||||
// Local prefetch A1
|
||||
block_sync_lds();
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k0_k1_k2,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_thread_buf);
|
||||
});
|
||||
});
|
||||
|
||||
// Initialize C
|
||||
c_thread_buf.Clear();
|
||||
c_thread_buf_up.Clear();
|
||||
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
// main body
|
||||
if constexpr(HasMainLoop)
|
||||
{
|
||||
index_t i = 0;
|
||||
do
|
||||
{
|
||||
auto LoopFunc = [&](auto mfma_reg_buf, auto local_read_buf) {
|
||||
b_blockwise_copy.Run(b_grid_desc,
|
||||
b_grid_buf,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs(local_read_buf));
|
||||
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
|
||||
b_blockwise_copy_up.Run(b_grid_desc,
|
||||
b_grid_buf_up,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs_up(local_read_buf));
|
||||
b_blockwise_copy_up.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
|
||||
block_sync_lds();
|
||||
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, mfma_reg_buf);
|
||||
|
||||
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, local_read_buf);
|
||||
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs[mfma_reg_buf]
|
||||
[Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs_up[mfma_reg_buf]
|
||||
[Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType,
|
||||
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>{}));
|
||||
|
||||
xdlops_gemm.Run(
|
||||
a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
block_sync_lds();
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k0_k1_k2,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_thread_buf);
|
||||
});
|
||||
});
|
||||
|
||||
HotLoopScheduler();
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
};
|
||||
|
||||
LoopFunc(I0, I1);
|
||||
LoopFunc(I1, I0);
|
||||
|
||||
i += 2;
|
||||
} while(i < (num_loop - 2));
|
||||
}
|
||||
// tail
|
||||
if constexpr(TailNum == TailNumber::Even)
|
||||
{
|
||||
b_blockwise_copy.Run(b_grid_desc,
|
||||
b_grid_buf,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs(I1));
|
||||
|
||||
b_blockwise_copy_up.Run(b_grid_desc,
|
||||
b_grid_buf_up,
|
||||
b_block_desc_n0_n1_k0_k1,
|
||||
b_block_origin_idx,
|
||||
b_thread_bufs_up(I1));
|
||||
block_sync_lds();
|
||||
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf);
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs_up[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType, 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>{}));
|
||||
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
block_sync_lds();
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
a_thread_copy_.Run(a_block_desc_m0_m1_m2_k0_k1_k2,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_block_buf,
|
||||
a_thread_desc_,
|
||||
make_tuple(m0, I0, I0, k0, I0, I0),
|
||||
a_thread_buf);
|
||||
});
|
||||
});
|
||||
|
||||
__builtin_amdgcn_sched_barrier(0);
|
||||
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs[I1][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs_up[I1][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType, 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>{}));
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
// Let's leak last MFMA block to epilogue region, cover the potential lds-shuffle
|
||||
// latency
|
||||
// __builtin_amdgcn_sched_barrier(0);
|
||||
}
|
||||
else if constexpr(TailNum == TailNumber::Odd)
|
||||
{
|
||||
static_for<0, MRepeat, 1>{}([&](auto m0) {
|
||||
static_for<0, NRepeat, 1>{}([&](auto n0) {
|
||||
static_for<0, KRepeat, 1>{}([&](auto k0) {
|
||||
vector_type<ComputeDataType, KPack> a_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec;
|
||||
vector_type<ComputeDataType, KPack> b_thread_vec_up;
|
||||
|
||||
static_for<0, KPack, 1>{}([&](auto ik) {
|
||||
a_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
a_thread_buf[Number<a_thread_desc_.CalculateOffset(
|
||||
make_tuple(m0, I0, I0, k0, I0, ik))>{}];
|
||||
b_thread_vec.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
b_thread_vec_up.template AsType<ComputeDataType>()(ik) =
|
||||
b_thread_bufs_up[I0][Number<b_thread_desc_.CalculateOffset(
|
||||
make_tuple(n0, I0, k0, ik))>{}];
|
||||
});
|
||||
|
||||
using mfma_input_type =
|
||||
typename vector_type<ComputeDataType, 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>{}));
|
||||
xdlops_gemm.Run(a_thread_vec.template AsType<mfma_input_type>(),
|
||||
b_thread_vec_up.template AsType<mfma_input_type>(),
|
||||
c_thread_buf_up.GetVectorTypeReference(Number<c_offset>{}));
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
protected:
|
||||
// MRepeat MWave MLane KRepeat KLane KPack
|
||||
// KRepeat -> MRepeat-> Mwave->KLane->MLane->KPack
|
||||
static constexpr auto a_thread_desc_ = make_naive_tensor_descriptor_packed(
|
||||
make_tuple(Number<MRepeat>{}, I1, I1, Number<KRepeat>{}, I1, Number<KPack>{}));
|
||||
|
||||
using AThreadCopy = ThreadwiseTensorSliceTransfer_v4<ADataType,
|
||||
ComputeDataType,
|
||||
decltype(a_block_desc_m0_m1_m2_k0_k1_k2),
|
||||
decltype(a_thread_desc_),
|
||||
Sequence<1, 1, 1, 1, 1, KPack>,
|
||||
Sequence<0, 1, 2, 3, 4, 5>,
|
||||
5,
|
||||
A_K1,
|
||||
A_K1>;
|
||||
|
||||
AThreadCopy a_thread_copy_{Base::CalculateAThreadOriginDataIndex6D()};
|
||||
|
||||
static constexpr auto b_thread_desc_ = make_naive_tensor_descriptor_packed(
|
||||
make_tuple(Number<NRepeat>{}, I1, Number<KRepeat>{}, Number<KPack>{}));
|
||||
|
||||
static constexpr BTileDesc b_block_desc_n0_n1_k0_k1;
|
||||
};
|
||||
|
||||
} // namespace ck
|
||||
@@ -3,8 +3,10 @@
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_gufusion_v1.hpp"
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_v1.hpp"
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_dequant_v1.hpp"
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_gufusion_dequant_v1.hpp"
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_v2.hpp"
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_v3.hpp"
|
||||
#include "ck/tensor_operation/gpu/block/blockwise_gemm_pipeline_xdlops_b_preshuffle_dequant_v3.hpp"
|
||||
@@ -33,57 +35,112 @@ template <BlockGemmPipelineVersion BlkGemmPipelineVer,
|
||||
index_t NPerXDL,
|
||||
index_t MRepeat,
|
||||
index_t NRepeat,
|
||||
index_t KPack>
|
||||
index_t KPack,
|
||||
bool GUFusion = false>
|
||||
constexpr auto BlockGemmBPreshufflePipeline_Selector()
|
||||
{
|
||||
if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v1)
|
||||
{
|
||||
if constexpr(std::is_same<ADataType, BDataType>::value)
|
||||
{
|
||||
return BlockwiseGemmXdlops_pipeline_bpreshuffle_v1<BlkGemmPipeSche,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>{};
|
||||
if constexpr(GUFusion)
|
||||
{
|
||||
return BlockwiseGemmXdlops_pipeline_bpreshuffle_gufusion_v1<
|
||||
BlkGemmPipeSche,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>{};
|
||||
}
|
||||
else
|
||||
{
|
||||
return BlockwiseGemmXdlops_pipeline_bpreshuffle_v1<BlkGemmPipeSche,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>{};
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
return BlockwiseGemmXdlops_pipeline_bpreshuffle_bdequant_v1<
|
||||
BlkGemmPipeSche,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>{};
|
||||
if constexpr(GUFusion)
|
||||
{
|
||||
return BlockwiseGemmXdlops_pipeline_bpreshuffle_gufusion_bdequant_v1<
|
||||
BlkGemmPipeSche,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>{};
|
||||
}
|
||||
else
|
||||
{
|
||||
return BlockwiseGemmXdlops_pipeline_bpreshuffle_bdequant_v1<
|
||||
BlkGemmPipeSche,
|
||||
BlockSize,
|
||||
ADataType,
|
||||
BDataType,
|
||||
ComputeDataType,
|
||||
AccDataType,
|
||||
ATileDesc,
|
||||
BTileDesc,
|
||||
AMmaTileDesc,
|
||||
BMmaTileDesc,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
MPerBlock,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
MPerXDL,
|
||||
NPerXDL,
|
||||
MRepeat,
|
||||
NRepeat,
|
||||
KPack>{};
|
||||
}
|
||||
}
|
||||
}
|
||||
else if constexpr(BlkGemmPipelineVer == BlockGemmPipelineVersion::v2)
|
||||
|
||||
@@ -46,7 +46,8 @@ struct BlockwiseGemmXdlops_pipeline_base
|
||||
static constexpr index_t A_K0 = ATileDesc{}.GetLength(I0);
|
||||
static constexpr index_t B_K0 = BTileDesc{}.GetLength(I0);
|
||||
static constexpr index_t A_K1 = ATileDesc{}.GetLength(I2);
|
||||
static constexpr index_t B_K1 = BTileDesc{}.GetLength(I2);
|
||||
static constexpr index_t B_K1 =
|
||||
BTileDesc{}.GetLength(Number < BTileDesc{}.GetNumOfDimension() == 4 ? 3 : 2 > {});
|
||||
|
||||
static constexpr auto xdlops_gemm =
|
||||
XdlopsGemm<ComputeDataType, MPerXDL, NPerXDL, KPack, ComputeDataType, TransposeC>{};
|
||||
@@ -333,7 +334,7 @@ struct BlockwiseGemmXdlops_pipeline_base
|
||||
return xdlops_gemm.MakeCDescriptor_G_M0_N0_M1_N1_M2_M3_M4_N2(
|
||||
c_grid_desc_g_m0_n0_m1_n1_m2_n2);
|
||||
}
|
||||
|
||||
__host__ __device__ static constexpr auto GetCThreadDesc() { return c_thread_desc_; }
|
||||
static constexpr AMmaTileDesc a_block_desc_m0_m1_m2_k;
|
||||
static constexpr BMmaTileDesc b_block_desc_n0_n1_n2_k;
|
||||
|
||||
|
||||
@@ -41,6 +41,7 @@ template <typename ThreadGroup,
|
||||
index_t DstScalarStrideInVector,
|
||||
bool ThreadTransferSrcResetCoordinateAfterRun,
|
||||
bool ThreadTransferDstResetCoordinateAfterRun,
|
||||
typename IndexType,
|
||||
index_t GatherDim = 1,
|
||||
index_t NumThreadScratch = 1>
|
||||
struct ThreadGroupTensorSliceTransfer_v4r1_gather
|
||||
@@ -58,7 +59,7 @@ struct ThreadGroupTensorSliceTransfer_v4r1_gather
|
||||
const DstDesc& dst_desc,
|
||||
const Index& dst_block_slice_origin,
|
||||
const DstElementwiseOperation& dst_element_op,
|
||||
const StaticallyIndexedArray<index_t, gather_num>& gather_offsets)
|
||||
const StaticallyIndexedArray<IndexType, gather_num>& gather_offsets)
|
||||
: threadwise_transfer_(src_desc,
|
||||
make_zero_multi_index<nDim>(),
|
||||
src_element_op,
|
||||
@@ -190,6 +191,7 @@ struct ThreadGroupTensorSliceTransfer_v4r1_gather
|
||||
DstScalarStrideInVector,
|
||||
ThreadTransferSrcResetCoordinateAfterRun,
|
||||
ThreadTransferDstResetCoordinateAfterRun,
|
||||
IndexType,
|
||||
GatherDim,
|
||||
NumThreadScratch>;
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
|
||||
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
@@ -42,6 +42,7 @@ template <typename ThreadGroup,
|
||||
index_t DstScalarPerVector,
|
||||
typename ThreadTransferSrcResetCoordinateAfterRunFlags,
|
||||
typename ThreadTransferDstResetCoordinateAfterRunFlags,
|
||||
typename IndexType,
|
||||
index_t ScatterDim = 1,
|
||||
bool OutputScatter = true,
|
||||
index_t ScatterWeightIdx = 3,
|
||||
@@ -133,13 +134,12 @@ struct ThreadGroupTensorSliceTransfer_v7r3_scatter
|
||||
template <typename SrcBuffers, index_t ThreadScratchId = 0>
|
||||
__device__ void RunRead(const SrcDescs& src_descs,
|
||||
const SrcBuffers& src_bufs,
|
||||
StaticallyIndexedArray<float, scatter_num>& scatter_weights,
|
||||
Number<ThreadScratchId> thread_scratch_id = Number<ThreadScratchId>{})
|
||||
{
|
||||
if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
|
||||
ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
|
||||
{
|
||||
threadwise_transfer_.RunRead(src_descs, src_bufs, scatter_weights, thread_scratch_id);
|
||||
threadwise_transfer_.RunRead(src_descs, src_bufs, thread_scratch_id);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -149,7 +149,7 @@ struct ThreadGroupTensorSliceTransfer_v7r3_scatter
|
||||
template <typename DstBuffers, index_t ThreadScratchId = 0>
|
||||
__device__ void RunWrite(const DstDescs& dst_descs,
|
||||
DstBuffers dst_bufs,
|
||||
StaticallyIndexedArray<index_t, scatter_num>& scatter_offsets,
|
||||
StaticallyIndexedArray<IndexType, scatter_num>& scatter_offsets,
|
||||
Number<ThreadScratchId> thread_scratch_id = Number<ThreadScratchId>{})
|
||||
{
|
||||
if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
|
||||
@@ -169,10 +169,9 @@ struct ThreadGroupTensorSliceTransfer_v7r3_scatter
|
||||
const SrcBuffers& src_bufs,
|
||||
const DstDescs& dst_descs,
|
||||
DstBuffers dst_bufs,
|
||||
StaticallyIndexedArray<index_t, scatter_num>& scatter_offsets,
|
||||
StaticallyIndexedArray<float, scatter_num>& scatter_weights)
|
||||
StaticallyIndexedArray<IndexType, scatter_num>& scatter_offsets)
|
||||
{
|
||||
RunRead(src_descs, src_bufs, scatter_weights);
|
||||
RunRead(src_descs, src_bufs);
|
||||
RunWrite(dst_descs, dst_bufs, scatter_offsets);
|
||||
}
|
||||
|
||||
@@ -230,6 +229,7 @@ struct ThreadGroupTensorSliceTransfer_v7r3_scatter
|
||||
DstScalarPerVector,
|
||||
ThreadTransferSrcResetCoordinateAfterRunFlags,
|
||||
ThreadTransferDstResetCoordinateAfterRunFlags,
|
||||
IndexType,
|
||||
ScatterDim,
|
||||
OutputScatter,
|
||||
ScatterWeightIdx,
|
||||
|
||||
Reference in New Issue
Block a user