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Clean-up the headers (#713)
* fix headers for gpu instances * remove unused headers --------- Co-authored-by: zjing14 <zhangjing14@gmail.com>
This commit is contained in:
Illia Silin
@@ -1,586 +0,0 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, 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_bias_e_permute.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#include "ck/tensor_operation/gpu/device/matrix_padder.hpp"
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#include "ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle.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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template <typename GridwiseGemm,
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typename FloatAB,
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typename FloatDsPointer,
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typename FloatE,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CDEElementwiseOperation,
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typename AGridDesc_AK0_M_AK1,
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typename BGridDesc_BK0_N_BK1,
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typename DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
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typename EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
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typename Block2ETileMap,
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bool HasMainKBlockLoop>
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__global__ void
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#if CK_USE_LAUNCH_BOUNDS
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__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
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#endif
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kernel_gemm_bias_e_permute(const FloatAB* __restrict__ p_a_grid,
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const FloatAB* __restrict__ p_b_grid,
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FloatDsPointer p_ds_grid,
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FloatE* __restrict__ p_e_grid,
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const AElementwiseOperation a_element_op,
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const BElementwiseOperation b_element_op,
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const CDEElementwiseOperation cde_element_op,
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const AGridDesc_AK0_M_AK1 a_grid_desc_ak0_m_ak1,
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const BGridDesc_BK0_N_BK1 b_grid_desc_bk0_n_bk1,
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const DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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ds_grid_desc_mblock_mperblock_nblock_nperblock,
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const EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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e_grid_desc_mblock_mperblock_nblock_nperblock,
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const Block2ETileMap block_2_etile_map)
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{
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#if(!defined(__HIP_DEVICE_COMPILE__) || defined(__gfx908__) || defined(__gfx90a__) || \
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defined(__gfx940__))
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__shared__ char p_shared[GridwiseGemm::GetSharedMemoryNumberOfByte()];
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GridwiseGemm::template Run<HasMainKBlockLoop>(p_a_grid,
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p_b_grid,
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p_ds_grid,
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p_e_grid,
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p_shared,
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a_element_op,
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b_element_op,
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cde_element_op,
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a_grid_desc_ak0_m_ak1,
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b_grid_desc_bk0_n_bk1,
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ds_grid_desc_mblock_mperblock_nblock_nperblock,
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e_grid_desc_mblock_mperblock_nblock_nperblock,
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block_2_etile_map);
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#else
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ignore = p_a_grid;
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ignore = p_b_grid;
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ignore = p_ds_grid;
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ignore = p_e_grid;
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ignore = a_element_op;
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ignore = b_element_op;
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ignore = cde_element_op;
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ignore = a_grid_desc_ak0_m_ak1;
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ignore = b_grid_desc_bk0_n_bk1;
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ignore = ds_grid_desc_mblock_mperblock_nblock_nperblock;
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ignore = e_grid_desc_mblock_mperblock_nblock_nperblock;
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ignore = block_2_etile_map;
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#endif
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}
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} // namespace ck
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namespace ck {
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namespace tensor_operation {
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namespace device {
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// input : A[M, K], or A[K, N]
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// input : B[K, N], or A[N, K]
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// input : D0[M, N], D1[M, N], ...
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// output : E[M, N]
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// C = a_op(A) * b_op(B)
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// E = cde_op(C, D0, D1, ...)
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template <typename ALayout,
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typename BLayout,
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typename CDELayout,
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typename ADataType,
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typename BDataType,
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typename AccDataType,
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typename CShuffleDataType,
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typename DDataType,
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typename EDataType,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CDEElementwiseOperation,
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GemmSpecialization GemmSpec,
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index_t NumGemmKPrefetchStage,
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index_t BlockSize,
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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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index_t 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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index_t BBlockLdsExtraN,
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index_t CShuffleMXdlPerWavePerShuffle,
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index_t CShuffleNXdlPerWavePerShuffle,
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typename CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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index_t CDEBlockTransferScalarPerVector_NPerBlock,
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LoopScheduler LoopSched = make_default_loop_scheduler()>
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struct DeviceGemmBiasEPermute_Xdl : public DeviceGemmBiasCPermute<AElementwiseOperation,
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BElementwiseOperation,
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CDEElementwiseOperation>
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{
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using DeviceOp = DeviceGemmBiasEPermute_Xdl;
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static constexpr auto I0 = Number<0>{};
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static constexpr auto I1 = Number<1>{};
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static constexpr auto I2 = Number<2>{};
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static constexpr auto I3 = Number<3>{};
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static constexpr auto matrix_padder =
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MatrixPadder<GemmSpec, index_t, index_t, index_t>{MPerBlock, NPerBlock, KPerBlock};
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static constexpr index_t NumDTensor = 1;
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static auto MakeAGridDescriptor_M_K(index_t MRaw, index_t KRaw, index_t StrideA)
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{
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const auto a_grid_desc_mraw_kraw = [&]() {
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if constexpr(is_same_v<tensor_layout::gemm::RowMajor, ALayout>)
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{
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return make_naive_tensor_descriptor(make_tuple(MRaw, KRaw),
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make_tuple(StrideA, I1));
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}
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else if constexpr(is_same_v<tensor_layout::gemm::ColumnMajor, ALayout>)
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{
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return make_naive_tensor_descriptor(make_tuple(MRaw, KRaw),
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make_tuple(I1, StrideA));
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}
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}();
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return matrix_padder.PadADescriptor_M_K(a_grid_desc_mraw_kraw);
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}
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static auto MakeBGridDescriptor_N_K(index_t KRaw, index_t NRaw, index_t StrideB)
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{
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const auto b_grid_desc_nraw_kraw = [&]() {
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if constexpr(is_same<tensor_layout::gemm::RowMajor, BLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(NRaw, KRaw),
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make_tuple(I1, StrideB));
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}
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else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, BLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(NRaw, KRaw),
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make_tuple(StrideB, I1));
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}
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}();
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return matrix_padder.PadBDescriptor_N_K(b_grid_desc_nraw_kraw);
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}
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static auto MakeEGridDescriptor_M_N(DEGridDesc_M0_M1_M2_N0_N1 d_e_grid_desc)
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{
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index_t M0 = d_e_grid_desc.M0_;
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index_t M1 = d_e_grid_desc.M1_;
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index_t M2 = d_e_grid_desc.M2_;
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index_t N0 = d_e_grid_desc.N0_;
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index_t N1 = d_e_grid_desc.N1_;
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index_t stride_M0 = d_e_grid_desc.stride_M0_;
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index_t stride_M1 = d_e_grid_desc.stride_M1_;
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index_t stride_M2 = d_e_grid_desc.stride_M2_;
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index_t stride_N0 = d_e_grid_desc.stride_N0_;
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index_t stride_N1 = d_e_grid_desc.stride_N1_;
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const auto e_grid_desc_mraw_nraw = [&]() {
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const auto e_grid_desc_m0_m1_m2_n0_n1 = make_naive_tensor_descriptor(
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make_tuple(M0, M1, M2, N0, N1),
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make_tuple(stride_M0, stride_M1, stride_M2, stride_N0, stride_N1));
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return transform_tensor_descriptor(
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e_grid_desc_m0_m1_m2_n0_n1,
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make_tuple(make_merge_transform(make_tuple(M0, M1, M2)),
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make_merge_transform(make_tuple(N0, N1))),
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make_tuple(Sequence<0, 1, 2>{}, Sequence<3, 4>{}),
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make_tuple(Sequence<0>{}, Sequence<1>{}));
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}();
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return matrix_padder.PadCDescriptor_M_N(e_grid_desc_mraw_nraw);
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}
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using AGridDesc_M_K = decltype(MakeAGridDescriptor_M_K(1, 1, 1));
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using BGridDesc_N_K = decltype(MakeBGridDescriptor_N_K(1, 1, 1));
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using EGridDesc_M_N = decltype(MakeEGridDescriptor_M_N(DEGridDesc_M0_M1_M2_N0_N1{}));
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using DsGridDesc_M_N = Tuple<EGridDesc_M_N>;
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// GridwiseGemm
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using GridwiseGemm = GridwiseGemmMultipleD_xdl_cshuffle<
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ADataType, // TODO: distinguish A/B datatype
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AccDataType,
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CShuffleDataType,
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ck::Tuple<DDataType>,
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EDataType,
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AElementwiseOperation,
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BElementwiseOperation,
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CDEElementwiseOperation,
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InMemoryDataOperationEnum::Set,
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NumGemmKPrefetchStage,
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BlockSize,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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AK1,
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BK1,
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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,
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false,
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BBlockLdsExtraN,
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CShuffleMXdlPerWavePerShuffle,
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CShuffleNXdlPerWavePerShuffle,
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CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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CDEBlockTransferScalarPerVector_NPerBlock,
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LoopSched>;
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using AGridDesc_AK0_M_AK1 = remove_cvref_t<decltype(
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GridwiseGemm::MakeDefaultAGridDescriptor_AK0_M_AK1(AGridDesc_M_K{}))>;
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using BGridDesc_BK0_N_BK1 = remove_cvref_t<decltype(
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GridwiseGemm::MakeDefaultBGridDescriptor_BK0_N_BK1(BGridDesc_N_K{}))>;
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using Block2ETileMap = typename GridwiseGemm::DefaultBlock2ETileMap;
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// Argument
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struct Argument : public BaseArgument
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{
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Argument(const void* p_a_grid,
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const void* p_b_grid,
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const void* p_d_grid,
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void* p_e_grid,
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index_t MRaw,
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index_t NRaw,
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index_t KRaw,
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index_t StrideA,
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index_t StrideB,
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DEGridDesc_M0_M1_M2_N0_N1 d_grid_desc,
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DEGridDesc_M0_M1_M2_N0_N1 e_grid_desc,
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AElementwiseOperation a_element_op,
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BElementwiseOperation b_element_op,
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CDEElementwiseOperation cde_element_op)
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: p_a_grid_{static_cast<const ADataType*>(p_a_grid)},
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p_b_grid_{static_cast<const BDataType*>(p_b_grid)},
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p_ds_grid_{},
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p_e_grid_{static_cast<EDataType*>(p_e_grid)},
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a_grid_desc_m_k_{DeviceOp::MakeAGridDescriptor_M_K(MRaw, KRaw, StrideA)},
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b_grid_desc_n_k_{DeviceOp::MakeBGridDescriptor_N_K(KRaw, NRaw, StrideB)},
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ds_grid_desc_m_n_{},
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e_grid_desc_m_n_{DeviceOp::MakeEGridDescriptor_M_N(e_grid_desc)},
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a_grid_desc_ak0_m_ak1_{
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GridwiseGemm::MakeDefaultAGridDescriptor_AK0_M_AK1(a_grid_desc_m_k_)},
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b_grid_desc_bk0_n_bk1_{
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GridwiseGemm::MakeDefaultBGridDescriptor_BK0_N_BK1(b_grid_desc_n_k_)},
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ds_grid_desc_mblock_mperblock_nblock_nperblock_{},
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e_grid_desc_mblock_mperblock_nblock_nperblock_{},
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block_2_etile_map_{GridwiseGemm::MakeDefaultBlock2ETileMap(e_grid_desc_m_n_)},
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a_element_op_{a_element_op},
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b_element_op_{b_element_op},
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cde_element_op_{cde_element_op}
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{
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if(MRaw != d_grid_desc.M0_ * d_grid_desc.M1_ * d_grid_desc.M2_)
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{
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throw std::runtime_error("wrong! GridwiseGemm has invalid setting");
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}
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if(NRaw != d_grid_desc.N0_ * d_grid_desc.N1_)
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{
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throw std::runtime_error("wrong! GridwiseGemm has invalid setting");
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}
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// populate pointer, desc for Ds
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// D pointer
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p_ds_grid_(I0) = static_cast<const DDataType*>(p_d_grid);
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// D desc
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ds_grid_desc_m_n_(I0) = DeviceOp::MakeEGridDescriptor_M_N(d_grid_desc);
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if(GridwiseGemm::CheckValidity(a_grid_desc_m_k_,
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b_grid_desc_n_k_,
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ds_grid_desc_m_n_,
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e_grid_desc_m_n_,
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block_2_etile_map_))
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{
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e_grid_desc_mblock_mperblock_nblock_nperblock_ =
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GridwiseGemm::MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
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e_grid_desc_m_n_);
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ds_grid_desc_mblock_mperblock_nblock_nperblock_(I0) =
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GridwiseGemm::MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
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ds_grid_desc_m_n_[I0]);
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}
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}
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// private:
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// pointers
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const ADataType* p_a_grid_;
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const BDataType* p_b_grid_;
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typename GridwiseGemm::DsGridPointer p_ds_grid_;
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EDataType* p_e_grid_;
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// tensor descriptors for problem definiton
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AGridDesc_M_K a_grid_desc_m_k_;
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BGridDesc_N_K b_grid_desc_n_k_;
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DsGridDesc_M_N ds_grid_desc_m_n_;
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EGridDesc_M_N e_grid_desc_m_n_;
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// tensor descriptors for block/thread-wise copy
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AGridDesc_AK0_M_AK1 a_grid_desc_ak0_m_ak1_;
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BGridDesc_BK0_N_BK1 b_grid_desc_bk0_n_bk1_;
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typename GridwiseGemm::DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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ds_grid_desc_mblock_mperblock_nblock_nperblock_;
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typename GridwiseGemm::EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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e_grid_desc_mblock_mperblock_nblock_nperblock_;
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// block-to-e-tile map
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Block2ETileMap block_2_etile_map_;
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// element-wise op
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AElementwiseOperation a_element_op_;
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BElementwiseOperation b_element_op_;
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CDEElementwiseOperation cde_element_op_;
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};
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// Invoker
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struct Invoker : public BaseInvoker
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{
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using Argument = DeviceOp::Argument;
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float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
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{
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if(!GridwiseGemm::CheckValidity(arg.a_grid_desc_m_k_,
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arg.b_grid_desc_n_k_,
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arg.ds_grid_desc_m_n_,
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arg.e_grid_desc_m_n_,
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arg.block_2_etile_map_))
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{
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throw std::runtime_error("wrong! GridwiseGemm has invalid setting");
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}
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const index_t grid_size =
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arg.block_2_etile_map_.CalculateGridSize(arg.e_grid_desc_m_n_);
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const auto K =
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arg.a_grid_desc_ak0_m_ak1_.GetLength(I0) * arg.a_grid_desc_ak0_m_ak1_.GetLength(I2);
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|
||||
auto launch_kernel = [&](auto has_main_k_block_loop) {
|
||||
constexpr bool has_main_loop = has_main_k_block_loop.value;
|
||||
|
||||
const auto kernel = kernel_gemm_bias_e_permute<
|
||||
GridwiseGemm,
|
||||
ADataType, // TODO: distiguish A/B datatype
|
||||
typename GridwiseGemm::DsGridPointer,
|
||||
EDataType,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CDEElementwiseOperation,
|
||||
DeviceOp::AGridDesc_AK0_M_AK1,
|
||||
DeviceOp::BGridDesc_BK0_N_BK1,
|
||||
typename GridwiseGemm::DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
typename GridwiseGemm::EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
typename GridwiseGemm::DefaultBlock2ETileMap,
|
||||
has_main_loop>;
|
||||
|
||||
return launch_and_time_kernel(stream_config,
|
||||
kernel,
|
||||
dim3(grid_size),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
arg.p_a_grid_,
|
||||
arg.p_b_grid_,
|
||||
arg.p_ds_grid_,
|
||||
arg.p_e_grid_,
|
||||
arg.a_element_op_,
|
||||
arg.b_element_op_,
|
||||
arg.cde_element_op_,
|
||||
arg.a_grid_desc_ak0_m_ak1_,
|
||||
arg.b_grid_desc_bk0_n_bk1_,
|
||||
arg.ds_grid_desc_mblock_mperblock_nblock_nperblock_,
|
||||
arg.e_grid_desc_mblock_mperblock_nblock_nperblock_,
|
||||
arg.block_2_etile_map_);
|
||||
};
|
||||
|
||||
if(GridwiseGemm::CalculateHasMainKBlockLoop(K))
|
||||
{
|
||||
return launch_kernel(integral_constant<bool, true>{});
|
||||
}
|
||||
else
|
||||
{
|
||||
return launch_kernel(integral_constant<bool, false>{});
|
||||
}
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
float Run(const BaseArgument* p_arg,
|
||||
const StreamConfig& stream_config = StreamConfig{}) override
|
||||
{
|
||||
return Run(*dynamic_cast<const Argument*>(p_arg), stream_config);
|
||||
}
|
||||
};
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!(ck::get_device_name() == "gfx908" || ck::get_device_name() == "gfx90a" ||
|
||||
ck::get_device_name() == "gfx940"))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemm::CheckValidity(arg.a_grid_desc_m_k_,
|
||||
arg.b_grid_desc_n_k_,
|
||||
arg.ds_grid_desc_m_n_,
|
||||
arg.e_grid_desc_m_n_,
|
||||
arg.block_2_etile_map_);
|
||||
}
|
||||
|
||||
// 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,
|
||||
const void* p_d,
|
||||
void* p_e,
|
||||
index_t MRaw,
|
||||
index_t NRaw,
|
||||
index_t KRaw,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
DEGridDesc_M0_M1_M2_N0_N1 d_grid_desc,
|
||||
DEGridDesc_M0_M1_M2_N0_N1 e_grid_desc,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CDEElementwiseOperation cde_element_op)
|
||||
{
|
||||
return Argument{p_a,
|
||||
p_b,
|
||||
p_d,
|
||||
p_e,
|
||||
MRaw,
|
||||
NRaw,
|
||||
KRaw,
|
||||
StrideA,
|
||||
StrideB,
|
||||
d_grid_desc,
|
||||
e_grid_desc,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
cde_element_op};
|
||||
}
|
||||
|
||||
static auto MakeInvoker() { return Invoker{}; }
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseArgument>
|
||||
MakeArgumentPointer(const void* p_a,
|
||||
const void* p_b,
|
||||
const void* p_d,
|
||||
void* p_e,
|
||||
index_t MRaw,
|
||||
index_t NRaw,
|
||||
index_t KRaw,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
DEGridDesc_M0_M1_M2_N0_N1 d_grid_desc,
|
||||
DEGridDesc_M0_M1_M2_N0_N1 e_grid_desc,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CDEElementwiseOperation cde_element_op) override
|
||||
{
|
||||
return std::make_unique<Argument>(p_a,
|
||||
p_b,
|
||||
p_d,
|
||||
p_e,
|
||||
MRaw,
|
||||
NRaw,
|
||||
KRaw,
|
||||
StrideA,
|
||||
StrideB,
|
||||
d_grid_desc,
|
||||
e_grid_desc,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
cde_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();
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmBiasEPermute_Xdl"
|
||||
<< "<"
|
||||
<< BlockSize << ", "
|
||||
<< MPerBlock << ", "
|
||||
<< NPerBlock << ", "
|
||||
<< KPerBlock << ", "
|
||||
<< AK1 << ", "
|
||||
<< BK1 << ", "
|
||||
<< K1 << ", "
|
||||
<< MPerXDL << ", "
|
||||
<< NPerXDL << ", "
|
||||
<< MXdlPerWave << ", "
|
||||
<< NXdlPerWave << ", "
|
||||
<< ABlockTransferSrcScalarPerVector << ", "
|
||||
<< ABlockTransferDstScalarPerVector_K1 << ", "
|
||||
<< BBlockTransferSrcScalarPerVector << ", "
|
||||
<< BBlockTransferDstScalarPerVector_K1 << ", "
|
||||
<< CShuffleMXdlPerWavePerShuffle << ", "
|
||||
<< CShuffleNXdlPerWavePerShuffle << ", "
|
||||
<< CBlockTransferScalarPerVector_NWaveNPerXdl
|
||||
<< ">";
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
Reference in New Issue
Block a user