mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-03 21:21:22 +00:00
Put back the split-k gemm code. (#684)
* simplify karg in device/grid split-k op * fix mk_kn_mn instances * add more instances * use name from tensor layout --------- Co-authored-by: carlushuang <carlus.huang@amd.com>
This commit is contained in:
Illia Silin
@@ -73,157 +73,18 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
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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 K1Number = Number<K1>{};
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static auto
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MakeAGridDescriptor_KBatch_K0_M_K1(index_t M, index_t K, index_t StrideA, int KBatch, int KPad)
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{
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assert(KPad % (K1 * KBatch) == 0);
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const index_t K0 = KPad / (K1 * KBatch);
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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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const auto a_grid_desc_m_kpad = transform_tensor_descriptor(
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a_grid_desc_m_k,
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make_tuple(make_pass_through_transform(M), make_right_pad_transform(K, KPad - K)),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0>{}, Sequence<1>{}));
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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_kpad,
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make_tuple(make_unmerge_transform(make_tuple(KBatch, 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, 1, 3>{}, Sequence<2>{}));
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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_kpad,
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make_tuple(make_unmerge_transform(make_tuple(KBatch, 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, 1, 3>{}, Sequence<2>{}));
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}
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}
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static auto
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MakeBGridDescriptor_KBatch_K0_N_K1(index_t K, index_t N, index_t StrideB, int KBatch, int KPad)
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{
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assert(KPad % (K1 * KBatch) == 0);
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const index_t K0 = KPad / (K1 * KBatch);
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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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const auto b_grid_desc_kpad_n = transform_tensor_descriptor(
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b_grid_desc_k_n,
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make_tuple(make_right_pad_transform(K, KPad - K), 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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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_kpad_n,
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make_tuple(make_unmerge_transform(make_tuple(KBatch, 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, 1, 3>{}, Sequence<2>{}));
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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_kpad_n,
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make_tuple(make_unmerge_transform(make_tuple(KBatch, 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, 1, 3>{}, Sequence<2>{}));
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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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static auto GetKPad(index_t K, index_t KBatch)
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{
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const index_t K0 = math::integer_divide_ceil(K, K1 * K0PerBlock * KBatch) * K0PerBlock;
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const index_t KPad = KBatch * K0 * K1;
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return KPad;
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}
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using AGridDesc_K0_M_K1 = decltype(MakeAGridDescriptor_KBatch_K0_M_K1(1, 1, 1, 1, 1));
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using BGridDesc_K0_N_K1 = decltype(MakeBGridDescriptor_KBatch_K0_N_K1(1, 1, 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 = GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2<
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BlockSize,
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ADataType, // TODO: distinguish A/B datatype
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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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ALayout,
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BLayout,
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CLayout,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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GemmSpec,
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MPerBlock,
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NPerBlock,
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K0PerBlock,
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@@ -253,236 +114,64 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
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CBlockTransferScalarPerVector_NWaveNPerXDL,
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CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>;
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// GridwiseGemm
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using GridwiseGemmAtomicAdd = GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2<
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BlockSize,
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ADataType, // TODO: distinguish A/B datatype
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AccDataType,
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CDataType,
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InMemoryDataOperationEnum::AtomicAdd,
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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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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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MPerBlock,
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NPerBlock,
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K0PerBlock,
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MPerXDL,
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NPerXDL,
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K1,
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MXdlPerWave,
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NXdlPerWave,
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ABlockTransferThreadClusterLengths_K0_M_K1,
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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_K1,
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false, // AThreadTransferSrcResetCoordinateAfterRun,
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ABlockLdsAddExtraM,
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BBlockTransferThreadClusterLengths_K0_N_K1,
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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_K1,
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false, // BThreadTransferSrcResetCoordinateAfterRun,
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BBlockLdsAddExtraN,
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CShuffleMRepeatPerShuffle,
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CShuffleNRepeatPerShuffle,
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CBlockTransferScalarPerVector_NWaveNPerXDL,
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CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock>;
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using CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock =
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decltype(GridwiseGemm::MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(CGridDesc_M_N{}));
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using Block2CTileMap = typename GridwiseGemm::CBlockClusterAdaptor;
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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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index_t k_batch)
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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_kbatch_k0_m_k1_{},
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b_grid_desc_kbatch_k0_n_k1_{},
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c_grid_desc_m_n_{},
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c_grid_desc_mblock_mperblock_nblock_nperblock_{},
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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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k_batch_{k_batch}
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{
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int KPad = DeviceGemmXdlSplitKCShuffle::GetKPad(K, k_batch_);
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a_grid_desc_kbatch_k0_m_k1_ =
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DeviceGemmXdlSplitKCShuffle::MakeAGridDescriptor_KBatch_K0_M_K1(
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M, K, StrideA, k_batch_, KPad);
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b_grid_desc_kbatch_k0_n_k1_ =
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DeviceGemmXdlSplitKCShuffle::MakeBGridDescriptor_KBatch_K0_N_K1(
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K, N, StrideB, k_batch_, KPad);
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c_grid_desc_m_n_ = DeviceGemmXdlSplitKCShuffle::MakeCGridDescriptor_M_N(M, N, StrideC);
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block_2_ctile_map_ =
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GridwiseGemm::MakeCBlockClusterAdaptor(c_grid_desc_m_n_, M01, N01, k_batch_);
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if(GridwiseGemm::CheckValidity(a_grid_desc_kbatch_k0_m_k1_,
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b_grid_desc_kbatch_k0_n_k1_,
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c_grid_desc_m_n_,
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block_2_ctile_map_))
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{
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c_grid_desc_mblock_mperblock_nblock_nperblock_ =
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GridwiseGemm::MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(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_kbatch_k0_m_k1_;
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BGridDesc_K0_N_K1 b_grid_desc_kbatch_k0_n_k1_;
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CGridDesc_M_N c_grid_desc_m_n_;
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CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock c_grid_desc_mblock_mperblock_nblock_nperblock_;
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Block2CTileMap block_2_ctile_map_;
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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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index_t k_batch_;
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};
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using Argument = typename GridwiseGemm::Argument;
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// Invoker
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struct Invoker : public BaseInvoker
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{
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using Argument = DeviceGemmXdlSplitKCShuffle::Argument;
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void Print(const Argument& arg)
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{
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std::cout << "arg.a_grid_desc_kbatch_k0_m_k1_{"
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<< arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I0) << ", "
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<< arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I1) << ", "
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<< arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I2) << ", "
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<< arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I3) << "}" << std::endl;
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void Print(const Argument& karg) { karg.Print(); }
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std::cout << "arg.b_grid_desc_kbatch_k0_n_k1_{"
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<< arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I0) << ", "
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<< arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I1) << ", "
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<< arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I2) << ", "
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<< arg.b_grid_desc_kbatch_k0_n_k1_.GetLength(I3) << "}" << 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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float Run(const Argument& arg, const StreamConfig& stream_config = StreamConfig{})
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float Run(const Argument& karg, const StreamConfig& stream_config = StreamConfig{})
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{
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if(stream_config.log_level_ > 0)
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{
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Print(arg);
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Print(karg);
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}
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const auto kbatch = arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I0);
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const auto kbatch = karg.k_batch;
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if(!GridwiseGemm::CheckValidity(arg.a_grid_desc_kbatch_k0_m_k1_,
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arg.b_grid_desc_kbatch_k0_n_k1_,
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arg.c_grid_desc_m_n_,
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arg.block_2_ctile_map_))
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if(!GridwiseGemm::CheckValidity(karg))
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{
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throw std::runtime_error(
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"wrong! GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2 has invalid setting");
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"wrong! GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2 has invalid "
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"setting");
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}
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const index_t grid_size =
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arg.block_2_ctile_map_.CalculateGridSize(arg.c_grid_desc_m_n_);
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const auto K0 = arg.a_grid_desc_kbatch_k0_m_k1_.GetLength(I1);
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index_t gdx, gdy, gdz;
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std::tie(gdx, gdy, gdz) = GridwiseGemm::CalculateGridSize(karg);
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const auto K0 = karg.K0;
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const bool has_main_k0_block_loop = GridwiseGemm::CalculateHasMainK0BlockLoop(K0);
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float ave_time = 0;
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const auto Run = [&](const auto& kernel) {
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hipGetErrorString(hipMemset(
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arg.p_c_grid_,
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0,
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arg.c_grid_desc_mblock_mperblock_nblock_nperblock_.GetElementSpaceSize() *
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sizeof(CDataType)));
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if(kbatch > 1)
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hipGetErrorString(
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hipMemset(karg.p_c_grid, 0, karg.M * karg.N * sizeof(CDataType)));
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ave_time =
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launch_and_time_kernel(stream_config,
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kernel,
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dim3(grid_size),
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dim3(BlockSize),
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0,
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arg.p_a_grid_,
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arg.p_b_grid_,
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arg.p_c_grid_,
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arg.a_grid_desc_kbatch_k0_m_k1_,
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arg.b_grid_desc_kbatch_k0_n_k1_,
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arg.c_grid_desc_mblock_mperblock_nblock_nperblock_,
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arg.a_element_op_,
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arg.b_element_op_,
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arg.c_element_op_,
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arg.block_2_ctile_map_);
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ave_time = launch_and_time_kernel(
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stream_config, kernel, dim3(gdx, gdy, gdz), dim3(BlockSize), 0, karg);
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};
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if(has_main_k0_block_loop)
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{
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if(kbatch == 1)
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{
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const auto kernel = kernel_gemm_xdlops_v2r4r2<
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GridwiseGemm,
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ADataType, // TODO: distiguish A/B datatype
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CDataType,
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remove_reference_t<DeviceGemmXdlSplitKCShuffle::AGridDesc_K0_M_K1>,
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remove_reference_t<DeviceGemmXdlSplitKCShuffle::BGridDesc_K0_N_K1>,
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remove_reference_t<DeviceGemmXdlSplitKCShuffle::
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CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
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AElementwiseOperation,
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BElementwiseOperation,
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CElementwiseOperation,
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remove_reference_t<DeviceGemmXdlSplitKCShuffle::Block2CTileMap>,
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true>;
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const auto kernel =
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kernel_gemm_xdlops_v2r4r2_simplified<GridwiseGemm,
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true,
|
||||
InMemoryDataOperationEnum::Set>;
|
||||
|
||||
Run(kernel);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdlops_v2r4r2<
|
||||
GridwiseGemmAtomicAdd,
|
||||
ADataType, // TODO: distiguish A/B datatype
|
||||
CDataType,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::AGridDesc_K0_M_K1>,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::BGridDesc_K0_N_K1>,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::
|
||||
CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::Block2CTileMap>,
|
||||
true>;
|
||||
const auto kernel =
|
||||
kernel_gemm_xdlops_v2r4r2_simplified<GridwiseGemm,
|
||||
true,
|
||||
InMemoryDataOperationEnum::AtomicAdd>;
|
||||
|
||||
Run(kernel);
|
||||
}
|
||||
@@ -491,37 +180,19 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
{
|
||||
if(kbatch == 1)
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdlops_v2r4r2<
|
||||
GridwiseGemm,
|
||||
ADataType, // TODO: distiguish A/B datatype
|
||||
CDataType,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::AGridDesc_K0_M_K1>,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::BGridDesc_K0_N_K1>,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::
|
||||
CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::Block2CTileMap>,
|
||||
false>;
|
||||
const auto kernel =
|
||||
kernel_gemm_xdlops_v2r4r2_simplified<GridwiseGemm,
|
||||
false,
|
||||
InMemoryDataOperationEnum::Set>;
|
||||
|
||||
Run(kernel);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto kernel = kernel_gemm_xdlops_v2r4r2<
|
||||
GridwiseGemmAtomicAdd,
|
||||
ADataType, // TODO: distiguish A/B datatype
|
||||
CDataType,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::AGridDesc_K0_M_K1>,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::BGridDesc_K0_N_K1>,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::
|
||||
CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock>,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation,
|
||||
remove_reference_t<DeviceGemmXdlSplitKCShuffle::Block2CTileMap>,
|
||||
false>;
|
||||
const auto kernel =
|
||||
kernel_gemm_xdlops_v2r4r2_simplified<GridwiseGemm,
|
||||
false,
|
||||
InMemoryDataOperationEnum::AtomicAdd>;
|
||||
|
||||
Run(kernel);
|
||||
}
|
||||
@@ -544,12 +215,9 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
return true;
|
||||
}
|
||||
|
||||
static bool IsSupportedArgument(const Argument& arg)
|
||||
static bool IsSupportedArgument(const Argument& karg)
|
||||
{
|
||||
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_,
|
||||
arg.block_2_ctile_map_);
|
||||
return GridwiseGemm::CheckValidity(karg);
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
@@ -567,9 +235,9 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation,
|
||||
index_t KBatch)
|
||||
{
|
||||
return Argument{p_a,
|
||||
@@ -581,11 +249,10 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideC,
|
||||
1,
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op,
|
||||
GridwiseGemm::CalculateMPadded(M),
|
||||
GridwiseGemm::CalculateNPadded(N),
|
||||
GridwiseGemm::CalculateKPadded(K),
|
||||
GridwiseGemm::CalculateK0(K, KBatch),
|
||||
KBatch};
|
||||
}
|
||||
|
||||
@@ -601,9 +268,9 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
index_t StrideA,
|
||||
index_t StrideB,
|
||||
index_t StrideC,
|
||||
AElementwiseOperation a_element_op,
|
||||
BElementwiseOperation b_element_op,
|
||||
CElementwiseOperation c_element_op,
|
||||
AElementwiseOperation,
|
||||
BElementwiseOperation,
|
||||
CElementwiseOperation,
|
||||
ck::index_t KBatch = 1) override
|
||||
{
|
||||
return std::make_unique<Argument>(static_cast<const ADataType*>(p_a),
|
||||
@@ -615,11 +282,10 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
StrideA,
|
||||
StrideB,
|
||||
StrideC,
|
||||
1,
|
||||
1,
|
||||
a_element_op,
|
||||
b_element_op,
|
||||
c_element_op,
|
||||
GridwiseGemm::CalculateMPadded(M),
|
||||
GridwiseGemm::CalculateNPadded(N),
|
||||
GridwiseGemm::CalculateKPadded(K),
|
||||
GridwiseGemm::CalculateK0(K, KBatch),
|
||||
KBatch);
|
||||
}
|
||||
|
||||
@@ -630,31 +296,7 @@ struct DeviceGemmXdlSplitKCShuffle : public DeviceGemmSplitK<ALayout,
|
||||
}
|
||||
|
||||
// polymorphic
|
||||
std::string GetTypeString() const override
|
||||
{
|
||||
auto str = std::stringstream();
|
||||
|
||||
// clang-format off
|
||||
str << "DeviceGemmXdlSplitKCShuffle"
|
||||
<< "<"
|
||||
<< BlockSize << ", "
|
||||
<< MPerBlock << ", "
|
||||
<< NPerBlock << ", "
|
||||
<< K0PerBlock << ", "
|
||||
<< K1 << ", "
|
||||
<< MPerXDL << ", "
|
||||
<< NPerXDL << ", "
|
||||
<< MXdlPerWave << ", "
|
||||
<< NXdlPerWave << ", "
|
||||
<< ABlockTransferSrcScalarPerVector << ", "
|
||||
<< ABlockTransferDstScalarPerVector_K1 << ", "
|
||||
<< BBlockTransferSrcScalarPerVector << ", "
|
||||
<< BBlockTransferDstScalarPerVector_K1
|
||||
<< ">";
|
||||
// clang-format on
|
||||
|
||||
return str.str();
|
||||
}
|
||||
std::string GetTypeString() const override { return GridwiseGemm::GetTypeString(); }
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
|
||||
Reference in New Issue
Block a user