mirror of
https://github.com/ROCm/composable_kernel.git
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Navi21 gemm (#197)
* start adding navi21 GEMM * navi_gemm_km_kn_mn_fp32 compiles and passes one test. * rename variables and functions in gridwise_gemm_dlops_v1r3 * add other 3 layouts; format instance * adding more tuning parameters add tuning parameters for other 3 layouts * add gemm_dlops_f16 * tmp * add dependence of DeviceGemm::IsSupportedArg() on arch * minor changes * minor changes * minor changes * minor changes * minor changes * minor changes * minor changes * push gemm_dlops into profiler * minor changes * if using xdl or dlops is moved into profiler_gemm_impl * minor changes * minor changes * remove is_xdl from profile_gemm_impl * make IsSupportedArg dependent on arch for other device_gemm * minor changes * minor changes * fix a bug in f_generate_tensor_value * add 64x64x64 for gemm_dlops_int8 * add 64x64x64 for gemm_dlops_int8 * comment out 3 layouts in gemm_dlops_int8; add 32x32x32 for gemm_dlops_int8; init A values to 1 * fix * start fixing tuning parameters * monir * minor changes * minor changes * minor changes * fixing * adding example * adding example * adding example * add gemm fp32 example * clean up * use 128x128x16 as MNK tile in navi21 gemm example * bug fix * fix test * use new block c tile * clean * fix build Co-authored-by: Chao Liu <chao.liu2@amd.com> Co-authored-by: shaojiewang <wsjmessi@163.com>
This commit is contained in:
Jianfeng Yan
586
include/ck/tensor_operation/gpu/device/device_gemm_dl.hpp
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586
include/ck/tensor_operation/gpu/device/device_gemm_dl.hpp
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@@ -0,0 +1,586 @@
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#pragma once
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#include <iostream>
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#include <sstream>
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#include "device.hpp"
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#include "device_base.hpp"
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#include "device_gemm.hpp"
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#include "common_header.hpp"
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#include "tensor_layout.hpp"
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#include "tensor_descriptor.hpp"
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#include "tensor_descriptor_helper.hpp"
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#include "gemm_specialization.hpp"
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#include "element_wise_operation.hpp"
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#include "gridwise_gemm_dl_v1r3.hpp"
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#include "device_prop.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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template <
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typename ADataType,
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typename BDataType,
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typename CDataType,
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typename AccDataType,
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typename ALayout,
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typename BLayout,
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typename CLayout,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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GemmSpecialization GemmSpec,
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index_t BlockSize,
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index_t MPerBlock,
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index_t NPerBlock,
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index_t K0PerBlock,
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index_t K1,
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index_t M1PerThread,
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index_t N1PerThread,
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index_t KPerThread,
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typename M1N1ThreadClusterM1Xs,
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typename M1N1ThreadClusterN1Xs,
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typename ABlockTransferThreadSliceLengths_K0_M0_M1_K1,
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typename ABlockTransferThreadClusterLengths_K0_M0_M1_K1,
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typename ABlockTransferThreadClusterArrangeOrder,
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typename ABlockTransferSrcAccessOrder,
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typename ABlockTransferSrcVectorTensorLengths_K0_M0_M1_K1,
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typename ABlockTransferSrcVectorTensorContiguousDimOrder,
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typename ABlockTransferDstVectorTensorLengths_K0_M0_M1_K1,
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typename BBlockTransferThreadSliceLengths_K0_N0_N1_K1,
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typename BBlockTransferThreadClusterLengths_K0_N0_N1_K1,
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typename BBlockTransferThreadClusterArrangeOrder,
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typename BBlockTransferSrcAccessOrder,
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typename BBlockTransferSrcVectorTensorLengths_K0_N0_N1_K1,
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typename BBlockTransferSrcVectorTensorContiguousDimOrder,
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typename BBlockTransferDstVectorTensorLengths_K0_N0_N1_K1,
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typename CThreadTransferSrcDstAccessOrder,
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index_t CThreadTransferSrcDstVectorDim,
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index_t CThreadTransferDstScalarPerVector,
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enable_if_t<
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is_same_v<AElementwiseOperation, ck::tensor_operation::element_wise::PassThrough> &&
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is_same_v<AElementwiseOperation, ck::tensor_operation::element_wise::PassThrough> &&
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is_same_v<AElementwiseOperation, ck::tensor_operation::element_wise::PassThrough>,
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bool> = false>
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struct DeviceGemmDl
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: public DeviceGemm<AElementwiseOperation, BElementwiseOperation, CElementwiseOperation>
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{
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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 I4 = Number<4>{};
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static constexpr auto I5 = Number<5>{};
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static constexpr auto K1Number = Number<K1>{};
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static auto MakeAGridDescriptor_K0_M_K1(index_t M, index_t K, index_t StrideA)
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{
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assert(K % K1 == 0);
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const index_t K0 = K / K1;
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const auto a_grid_desc_m_k = [&]() {
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if constexpr(is_same<tensor_layout::gemm::RowMajor, ALayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, K), make_tuple(StrideA, I1));
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}
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else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, ALayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, K), make_tuple(I1, StrideA));
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}
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}();
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if constexpr(GemmSpec == GemmSpecialization::MNPadding)
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{
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const auto PadM = (MPerBlock - M % MPerBlock) % MPerBlock;
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return transform_tensor_descriptor(
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a_grid_desc_m_k,
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make_tuple(make_unmerge_transform(make_tuple(K0, K1Number)),
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make_right_pad_transform(M, PadM)),
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make_tuple(Sequence<1>{}, Sequence<0>{}),
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make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
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}
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else
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{
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return transform_tensor_descriptor(
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a_grid_desc_m_k,
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make_tuple(make_unmerge_transform(make_tuple(K0, K1Number)),
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make_pass_through_transform(M)),
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make_tuple(Sequence<1>{}, Sequence<0>{}),
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make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
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}
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}
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static auto MakeBGridDescriptor_K0_N_K1(index_t K, index_t N, index_t StrideB)
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{
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assert(K % K1 == 0);
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const index_t K0 = K / K1;
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const auto b_grid_desc_k_n = [&]() {
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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(K, N), make_tuple(StrideB, I1));
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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(K, N), make_tuple(I1, StrideB));
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}
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}();
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if constexpr(GemmSpec == GemmSpecialization::MNPadding)
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{
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const auto PadN = (NPerBlock - N % NPerBlock) % NPerBlock;
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return transform_tensor_descriptor(
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b_grid_desc_k_n,
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make_tuple(make_unmerge_transform(make_tuple(K0, K1Number)),
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make_right_pad_transform(N, PadN)),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
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}
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else
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{
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return transform_tensor_descriptor(
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b_grid_desc_k_n,
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make_tuple(make_unmerge_transform(make_tuple(K0, K1Number)),
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make_pass_through_transform(N)),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
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}
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}
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static auto MakeCGridDescriptor_M_N(index_t M, index_t N, index_t StrideC)
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{
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const auto c_grid_desc_m_n = [&]() {
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if constexpr(is_same<tensor_layout::gemm::RowMajor, CLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(StrideC, I1));
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}
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else if constexpr(is_same<tensor_layout::gemm::ColumnMajor, CLayout>::value)
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{
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return make_naive_tensor_descriptor(make_tuple(M, N), make_tuple(I1, StrideC));
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}
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}();
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if constexpr(GemmSpec == GemmSpecialization::MNPadding)
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{
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const auto PadM = (MPerBlock - M % MPerBlock) % MPerBlock;
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const auto PadN = (NPerBlock - N % NPerBlock) % NPerBlock;
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return transform_tensor_descriptor(
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c_grid_desc_m_n,
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make_tuple(make_right_pad_transform(M, PadM), make_right_pad_transform(N, PadN)),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0>{}, Sequence<1>{}));
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}
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else
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{
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return transform_tensor_descriptor(
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c_grid_desc_m_n,
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make_tuple(make_pass_through_transform(M), make_pass_through_transform(N)),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0>{}, Sequence<1>{}));
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}
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}
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using AGridDesc_K0_M_K1 = decltype(MakeAGridDescriptor_K0_M_K1(1, 1, 1));
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using BGridDesc_K0_N_K1 = decltype(MakeBGridDescriptor_K0_N_K1(1, 1, 1));
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using CGridDesc_M_N = decltype(MakeCGridDescriptor_M_N(1, 1, 1));
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// GridwiseGemm
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using GridwiseGemm =
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GridwiseGemmDl_km_kn_mn_v1r3<BlockSize,
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ADataType,
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AccDataType,
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CDataType,
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InMemoryDataOperationEnum::Set,
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AGridDesc_K0_M_K1,
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BGridDesc_K0_N_K1,
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CGridDesc_M_N,
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MPerBlock,
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NPerBlock,
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K0PerBlock,
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M1PerThread,
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N1PerThread,
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KPerThread,
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M1N1ThreadClusterM1Xs,
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M1N1ThreadClusterN1Xs,
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ABlockTransferThreadSliceLengths_K0_M0_M1_K1,
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ABlockTransferThreadClusterLengths_K0_M0_M1_K1,
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ABlockTransferThreadClusterArrangeOrder,
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ABlockTransferSrcAccessOrder,
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ABlockTransferSrcVectorTensorLengths_K0_M0_M1_K1,
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ABlockTransferSrcVectorTensorContiguousDimOrder,
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ABlockTransferDstVectorTensorLengths_K0_M0_M1_K1,
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BBlockTransferThreadSliceLengths_K0_N0_N1_K1,
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BBlockTransferThreadClusterLengths_K0_N0_N1_K1,
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BBlockTransferThreadClusterArrangeOrder,
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BBlockTransferSrcAccessOrder,
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BBlockTransferSrcVectorTensorLengths_K0_N0_N1_K1,
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BBlockTransferSrcVectorTensorContiguousDimOrder,
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BBlockTransferDstVectorTensorLengths_K0_N0_N1_K1,
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CThreadTransferSrcDstAccessOrder,
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CThreadTransferSrcDstVectorDim,
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CThreadTransferDstScalarPerVector>;
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using AGridDesc_K0_M0_M1_K1 =
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decltype(GridwiseGemm::MakeAGridDescriptor_K0_M0_M1_K1(AGridDesc_K0_M_K1{}));
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using BGridDesc_K0_N0_N1_K1 =
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decltype(GridwiseGemm::MakeBGridDescriptor_K0_N0_N1_K1(BGridDesc_K0_N_K1{}));
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using CGridDesc_M0_M10_M11_N0_N10_N11 =
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decltype(GridwiseGemm::MakeCGridDescriptor_M0_M10_M11_N0_N10_N11(CGridDesc_M_N{}));
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using DefaultBlock2CTileMap =
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decltype(GridwiseGemm::MakeDefaultBlock2CTileMap(CGridDesc_M_N{}));
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// Argument
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struct Argument : public BaseArgument
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{
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Argument(const ADataType* p_a_grid,
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const BDataType* p_b_grid,
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CDataType* p_c_grid,
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index_t M,
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index_t N,
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index_t K,
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index_t StrideA,
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index_t StrideB,
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index_t StrideC,
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index_t M01,
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index_t N01,
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AElementwiseOperation a_element_op,
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BElementwiseOperation b_element_op,
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CElementwiseOperation c_element_op)
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: p_a_grid_{p_a_grid},
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p_b_grid_{p_b_grid},
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p_c_grid_{p_c_grid},
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a_grid_desc_k0_m0_m1_k1_{},
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b_grid_desc_k0_n0_n1_k1_{},
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c_grid_desc_m0_m10_m11_n0_n10_n11_{},
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block_2_ctile_map_{},
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M01_{M01},
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N01_{N01},
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a_element_op_{a_element_op},
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b_element_op_{b_element_op},
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c_element_op_{c_element_op}
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{
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a_grid_desc_k0_m_k1_ = DeviceGemmDl::MakeAGridDescriptor_K0_M_K1(M, K, StrideA);
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b_grid_desc_k0_n_k1_ = DeviceGemmDl::MakeBGridDescriptor_K0_N_K1(K, N, StrideB);
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c_grid_desc_m_n_ = DeviceGemmDl::MakeCGridDescriptor_M_N(M, N, StrideC);
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if(GridwiseGemm::CheckValidity(
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a_grid_desc_k0_m_k1_, b_grid_desc_k0_n_k1_, c_grid_desc_m_n_))
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{
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a_grid_desc_k0_m0_m1_k1_ =
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GridwiseGemm::MakeAGridDescriptor_K0_M0_M1_K1(a_grid_desc_k0_m_k1_);
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b_grid_desc_k0_n0_n1_k1_ =
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GridwiseGemm::MakeBGridDescriptor_K0_N0_N1_K1(b_grid_desc_k0_n_k1_);
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c_grid_desc_m0_m10_m11_n0_n10_n11_ =
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GridwiseGemm::MakeCGridDescriptor_M0_M10_M11_N0_N10_N11(c_grid_desc_m_n_);
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block_2_ctile_map_ = GridwiseGemm::MakeDefaultBlock2CTileMap(c_grid_desc_m_n_);
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}
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}
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// private:
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const ADataType* p_a_grid_;
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const BDataType* p_b_grid_;
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CDataType* p_c_grid_;
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AGridDesc_K0_M_K1 a_grid_desc_k0_m_k1_;
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BGridDesc_K0_N_K1 b_grid_desc_k0_n_k1_;
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CGridDesc_M_N c_grid_desc_m_n_;
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AGridDesc_K0_M0_M1_K1 a_grid_desc_k0_m0_m1_k1_;
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BGridDesc_K0_N0_N1_K1 b_grid_desc_k0_n0_n1_k1_;
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CGridDesc_M0_M10_M11_N0_N10_N11 c_grid_desc_m0_m10_m11_n0_n10_n11_;
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DefaultBlock2CTileMap block_2_ctile_map_;
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// TODO: unused, but may be useful in future.
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index_t M01_;
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index_t N01_;
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// TODO: unused since gridwise_gemm_dl_v1r3 does NOT support prologue for the time being.
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AElementwiseOperation a_element_op_;
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BElementwiseOperation b_element_op_;
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CElementwiseOperation c_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 = DeviceGemmDl::Argument;
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float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
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{
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{
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std::cout << "arg.a_grid_desc_k0_m0_m1_k1_{"
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<< arg.a_grid_desc_k0_m_k1_.GetLength(I0) << ", "
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<< arg.a_grid_desc_k0_m_k1_.GetLength(I1) << ", "
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<< arg.a_grid_desc_k0_m_k1_.GetLength(I2) << "}" << std::endl;
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std::cout << "arg.b_grid_desc_k0_n0_n1_k1_{"
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<< arg.b_grid_desc_k0_n_k1_.GetLength(I0) << ", "
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<< arg.b_grid_desc_k0_n_k1_.GetLength(I1) << ", "
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<< arg.b_grid_desc_k0_n_k1_.GetLength(I2) << "}" << std::endl;
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std::cout << "arg.c_grid_desc_m_n_{ " << arg.c_grid_desc_m_n_.GetLength(I0) << ", "
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<< arg.c_grid_desc_m_n_.GetLength(I1) << "}" << std::endl;
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||||
}
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||||
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||||
if(!GridwiseGemm::CheckValidity(
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arg.a_grid_desc_k0_m_k1_, arg.b_grid_desc_k0_n_k1_, arg.c_grid_desc_m_n_))
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{
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throw std::runtime_error(
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"wrong! GridwiseGemm_k0mk1_k0nk1_mn_xdl_v2r3 has invalid setting");
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}
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||||
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const index_t grid_size = GridwiseGemm::CalculateGridSize(
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arg.c_grid_desc_m_n_.GetLength(I0), arg.c_grid_desc_m_n_.GetLength(I1));
|
||||
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||||
const auto K0 = arg.a_grid_desc_k0_m0_m1_k1_.GetLength(I0);
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const bool has_main_k_block_loop = GridwiseGemm::CalculateHasMainKBlockLoop(K0);
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const bool has_double_tail_k_block_loop =
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GridwiseGemm::CalculateHasDoubleTailKBlockLoop(K0);
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||||
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||||
float ave_time = 0;
|
||||
|
||||
if(has_main_k_block_loop && has_double_tail_k_block_loop)
|
||||
{
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||||
const auto kernel =
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||||
kernel_gemm_dl_v1r3<GridwiseGemm,
|
||||
ADataType,
|
||||
CDataType,
|
||||
remove_reference_t<AGridDesc_K0_M0_M1_K1>,
|
||||
remove_reference_t<BGridDesc_K0_N0_N1_K1>,
|
||||
remove_reference_t<CGridDesc_M0_M10_M11_N0_N10_N11>,
|
||||
remove_reference_t<DefaultBlock2CTileMap>,
|
||||
true,
|
||||
true>;
|
||||
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||||
ave_time = launch_and_time_kernel(stream_config,
|
||||
kernel,
|
||||
dim3(grid_size),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
arg.p_a_grid_,
|
||||
arg.p_b_grid_,
|
||||
arg.p_c_grid_,
|
||||
arg.a_grid_desc_k0_m0_m1_k1_,
|
||||
arg.b_grid_desc_k0_n0_n1_k1_,
|
||||
arg.c_grid_desc_m0_m10_m11_n0_n10_n11_,
|
||||
arg.block_2_ctile_map_);
|
||||
}
|
||||
else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_dl_v1r3<GridwiseGemm,
|
||||
ADataType,
|
||||
CDataType,
|
||||
remove_reference_t<AGridDesc_K0_M0_M1_K1>,
|
||||
remove_reference_t<BGridDesc_K0_N0_N1_K1>,
|
||||
remove_reference_t<CGridDesc_M0_M10_M11_N0_N10_N11>,
|
||||
remove_reference_t<DefaultBlock2CTileMap>,
|
||||
true,
|
||||
false>;
|
||||
|
||||
ave_time = launch_and_time_kernel(stream_config,
|
||||
kernel,
|
||||
dim3(grid_size),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
arg.p_a_grid_,
|
||||
arg.p_b_grid_,
|
||||
arg.p_c_grid_,
|
||||
arg.a_grid_desc_k0_m0_m1_k1_,
|
||||
arg.b_grid_desc_k0_n0_n1_k1_,
|
||||
arg.c_grid_desc_m0_m10_m11_n0_n10_n11_,
|
||||
arg.block_2_ctile_map_);
|
||||
}
|
||||
else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_dl_v1r3<GridwiseGemm,
|
||||
ADataType,
|
||||
CDataType,
|
||||
remove_reference_t<AGridDesc_K0_M0_M1_K1>,
|
||||
remove_reference_t<BGridDesc_K0_N0_N1_K1>,
|
||||
remove_reference_t<CGridDesc_M0_M10_M11_N0_N10_N11>,
|
||||
remove_reference_t<DefaultBlock2CTileMap>,
|
||||
false,
|
||||
true>;
|
||||
|
||||
ave_time = launch_and_time_kernel(stream_config,
|
||||
kernel,
|
||||
dim3(grid_size),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
arg.p_a_grid_,
|
||||
arg.p_b_grid_,
|
||||
arg.p_c_grid_,
|
||||
arg.a_grid_desc_k0_m0_m1_k1_,
|
||||
arg.b_grid_desc_k0_n0_n1_k1_,
|
||||
arg.c_grid_desc_m0_m10_m11_n0_n10_n11_,
|
||||
arg.block_2_ctile_map_);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto kernel =
|
||||
kernel_gemm_dl_v1r3<GridwiseGemm,
|
||||
ADataType,
|
||||
CDataType,
|
||||
remove_reference_t<AGridDesc_K0_M0_M1_K1>,
|
||||
remove_reference_t<BGridDesc_K0_N0_N1_K1>,
|
||||
remove_reference_t<CGridDesc_M0_M10_M11_N0_N10_N11>,
|
||||
remove_reference_t<DefaultBlock2CTileMap>,
|
||||
false,
|
||||
false>;
|
||||
|
||||
ave_time = launch_and_time_kernel(stream_config,
|
||||
kernel,
|
||||
dim3(grid_size),
|
||||
dim3(BlockSize),
|
||||
0,
|
||||
arg.p_a_grid_,
|
||||
arg.p_b_grid_,
|
||||
arg.p_c_grid_,
|
||||
arg.a_grid_desc_k0_m0_m1_k1_,
|
||||
arg.b_grid_desc_k0_n0_n1_k1_,
|
||||
arg.c_grid_desc_m0_m10_m11_n0_n10_n11_,
|
||||
arg.block_2_ctile_map_);
|
||||
}
|
||||
|
||||
return ave_time;
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
float Run(const BaseArgument* p_arg,
|
||||
const StreamConfig& stream_config = StreamConfig{}) override
|
||||
{
|
||||
return Run(*dynamic_cast<const Argument*>(p_arg), stream_config);
|
||||
}
|
||||
};
|
||||
|
||||
static constexpr bool IsValidCompilationParameter()
|
||||
{
|
||||
// TODO: properly implement this check
|
||||
return true;
|
||||
}
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(ck::get_device_name() == "gfx906" || ck::get_device_name() == "gfx1030")
|
||||
{
|
||||
return GridwiseGemm::CheckValidity(
|
||||
arg.a_grid_desc_k0_m_k1_, arg.b_grid_desc_k0_n_k1_, arg.c_grid_desc_m_n_);
|
||||
}
|
||||
else
|
||||
{
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
bool IsSupportedArgument(const BaseArgument* p_arg) override
|
||||
{
|
||||
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
|
||||
}
|
||||
|
||||
static auto MakeArgument(const ADataType* p_a,
|
||||
const BDataType* p_b,
|
||||
CDataType* p_c,
|
||||
index_t M,
|
||||
index_t N,
|
||||
index_t K,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op)
|
||||
{
|
||||
return Argument{p_a,
|
||||
p_b,
|
||||
p_c,
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideC,
|
||||
1,
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op};
|
||||
}
|
||||
|
||||
static auto MakeInvoker() { return Invoker{}; }
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseArgument> MakeArgumentPointer(const void* p_a,
|
||||
const void* p_b,
|
||||
void* p_c,
|
||||
index_t M,
|
||||
index_t N,
|
||||
index_t K,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op,
|
||||
index_t /* KBatch */ = 1) override
|
||||
{
|
||||
return std::make_unique<Argument>(static_cast<const ADataType*>(p_a),
|
||||
static_cast<const BDataType*>(p_b),
|
||||
static_cast<CDataType*>(p_c),
|
||||
M,
|
||||
N,
|
||||
K,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideC,
|
||||
1,
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
|
||||
{
|
||||
return std::make_unique<Invoker>(Invoker{});
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmDl"
|
||||
<< "<"
|
||||
<< BlockSize << ", "
|
||||
<< MPerBlock << ", "
|
||||
<< NPerBlock << ", "
|
||||
<< K0PerBlock << ", "
|
||||
<< K1 << ", "
|
||||
<< M1PerThread << ", "
|
||||
<< N1PerThread << ", "
|
||||
<< KPerThread
|
||||
<< ">";
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -1,5 +1,4 @@
|
||||
#ifndef DEVICE_GEMM_XDL_HPP
|
||||
#define DEVICE_GEMM_XDL_HPP
|
||||
#pragma once
|
||||
|
||||
#include <iostream>
|
||||
#include <sstream>
|
||||
@@ -12,6 +11,7 @@
|
||||
#include "tensor_descriptor_helper.hpp"
|
||||
#include "gridwise_gemm_xdlops_v2r3.hpp"
|
||||
#include "gemm_specialization.hpp"
|
||||
#include "device_prop.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
@@ -408,6 +408,11 @@ struct DeviceGemmXdl
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!(ck::get_device_name() == "gfx908" || ck::get_device_name() == "gfx90a"))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemm::CheckValidity(arg.a_grid_desc_k0_m_k1_,
|
||||
arg.b_grid_desc_k0_n_k1_,
|
||||
arg.c_grid_desc_m_n_,
|
||||
@@ -515,4 +520,3 @@ struct DeviceGemmXdl
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
#endif
|
||||
|
||||
@@ -9,6 +9,7 @@
|
||||
#include "tensor_descriptor_helper.hpp"
|
||||
#include "gridwise_gemm_xdl_cshuffle_v1.hpp"
|
||||
#include "tensor_operation/gpu/device/gemm_specialization.hpp"
|
||||
#include "device_prop.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
@@ -558,6 +559,11 @@ struct DeviceGemm_Xdl_CShuffle
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!(ck::get_device_name() == "gfx908" || ck::get_device_name() == "gfx90a"))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemm::CheckValidity(arg.a_grid_desc_ak0_m_ak1_,
|
||||
arg.b_grid_desc_bk0_n_bk1_,
|
||||
arg.c_grid_desc_m_n_,
|
||||
|
||||
@@ -12,6 +12,7 @@
|
||||
#include "tensor_descriptor_helper.hpp"
|
||||
#include "gridwise_gemm_xdlops_v2r4.hpp"
|
||||
#include "gemm_specialization.hpp"
|
||||
#include "device_prop.hpp"
|
||||
|
||||
#ifndef CK_RUN_KERNEL_AND_TIME
|
||||
#define CK_RUN_KERNEL_AND_TIME 1
|
||||
@@ -528,6 +529,11 @@ struct DeviceGemmXdlSplitK
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
{
|
||||
if(!(ck::get_device_name() == "gfx908" || ck::get_device_name() == "gfx90a"))
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
return GridwiseGemm::CheckValidity(arg.a_grid_desc_kbatch_k0_m_k1_,
|
||||
arg.b_grid_desc_kbatch_k0_n_k1_,
|
||||
arg.c_grid_desc_m_n_,
|
||||
|
||||
Reference in New Issue
Block a user