mirror of
https://github.com/ROCm/composable_kernel.git
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Gemm + bias + relu + add + layernorm (#272)
* Copy "gemm reduce" to "gemm bias add reduce" * Implement gemm bias add reduction * Fix compiler error due to merge from develop * Add tensor operation for gemm + bias + add + reduce * Add gemm_bais_add_reduce to ckProfiler * Add c1 functor * Refine type * Use reduceAccDataType instead of explicitly float * Change to use check_err() * Do relu in float32 instead of bhalf_t. Because bhalf_t is unsigned * Refactor relu. using type_trait instead of overloading * Rename DxsReduceAccElementwiseOperation to DxsReduceAccElementwiseOperation * Fix denominator * Refine nameing * Fix denominator in host * Remove useless include header * Use AccDataType * Fix static_cast order * Refine type * [What] Remove tuple type in the base class [Why] External api depend on base class. if base class has relationship with type, we will need many class for different type
This commit is contained in:
rocking5566
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#pragma once
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#include "multi_index_transform_helper.hpp"
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#include "tensor_descriptor.hpp"
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#include "tensor_descriptor_helper.hpp"
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#include "tensor_operation/gpu/grid/block_to_ctile_map.hpp"
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#include "blockwise_gemm_xdlops.hpp"
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#include "thread_group_tensor_slice_transfer_v4r1.hpp"
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#include "thread_group_tensor_slice_transfer_v6r1.hpp"
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#include "threadwise_tensor_slice_transfer.hpp"
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#include "gridwise_gemm_pipeline_v1.hpp"
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#include "reduction_functions_threadwise.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 FloatC,
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typename FloatC0,
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typename FloatC1,
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typename DPtrsGlobal,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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typename C1ElementwiseOperation,
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typename DxsInElementwiseOperation,
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typename DxsReduceAccElementwiseOperation,
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typename AGridDesc_AK0_M_AK1,
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typename BGridDesc_BK0_N_BK1,
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typename CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
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typename C0GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
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typename C1GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
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typename DGridDescriptor_MBlock_MPerBlock,
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typename Block2CTileMap,
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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_add_reduce_xdl_cshuffle_v1(
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const FloatAB* __restrict__ p_a_grid,
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const FloatAB* __restrict__ p_b_grid,
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FloatC* __restrict__ p_c_grid,
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const FloatC0* __restrict__ p_c0_grid,
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const FloatC1* __restrict__ p_c1_grid,
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DPtrsGlobal p_ds_grid,
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const AElementwiseOperation a_element_op,
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const BElementwiseOperation b_element_op,
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const CElementwiseOperation c_element_op,
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const C1ElementwiseOperation c1_element_op,
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const DxsInElementwiseOperation dxs_in_element_op,
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const DxsReduceAccElementwiseOperation dxs_out_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 CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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c_grid_desc_mblock_mperblock_nblock_nperblock,
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const C0GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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c0_grid_desc_mblock_mperblock_nblock_nperblock,
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const C1GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
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c1_grid_desc_mblock_mperblock_nblock_nperblock,
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const DGridDescriptor_MBlock_MPerBlock d_grid_desc_mblock_mperblock,
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const Block2CTileMap block_2_ctile_map)
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{
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#if(!defined(__HIP_DEVICE_COMPILE__) || defined(__gfx908__) || defined(__gfx90a__))
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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_c_grid,
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p_c0_grid,
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p_c1_grid,
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p_ds_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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c_element_op,
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c1_element_op,
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dxs_in_element_op,
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dxs_out_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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c_grid_desc_mblock_mperblock_nblock_nperblock,
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c0_grid_desc_mblock_mperblock_nblock_nperblock,
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c1_grid_desc_mblock_mperblock_nblock_nperblock,
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d_grid_desc_mblock_mperblock,
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block_2_ctile_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_c_grid;
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ignore = p_c0_grid;
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ignore = p_c1_grid;
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ignore = p_ds_grid;
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ignore = a_element_op;
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ignore = b_element_op;
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ignore = c_element_op;
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ignore = c1_element_op;
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ignore = dxs_in_element_op;
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ignore = dxs_out_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 = c_grid_desc_mblock_mperblock_nblock_nperblock;
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ignore = c0_grid_desc_mblock_mperblock_nblock_nperblock;
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ignore = c1_grid_desc_mblock_mperblock_nblock_nperblock;
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ignore = d_grid_desc_mblock_mperblock;
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ignore = block_2_ctile_map;
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#endif // end of if (defined(__gfx908__) || defined(__gfx90a__))
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}
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template <typename FloatAB,
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typename FloatGemmAcc,
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typename FloatCShuffle,
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typename FloatC,
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typename FloatC0,
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typename FloatC1,
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typename FloatReduceAcc,
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typename DPtrsGlobal,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation,
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typename C1ElementwiseOperation,
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typename DxsReduceOperation,
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typename DxsInElementwiseOperation,
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typename DxsReduceAccElementwiseOperation,
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InMemoryDataOperationEnum CGlobalMemoryDataOperation,
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typename DGlobalMemoryDataOperation,
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typename AGridDesc_AK0_M_AK1,
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typename BGridDesc_BK0_N_BK1,
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typename CGridDesc_M_N,
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typename C0GridDesc_M_N,
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typename C1GridDesc_M_N,
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typename DGridDesc_M,
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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 AK1Value,
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index_t BK1Value,
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index_t MPerXdl,
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index_t NPerXdl,
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index_t MXdlPerWave,
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index_t NXdlPerWave,
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typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
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typename ABlockTransferThreadClusterArrangeOrder,
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typename ABlockTransferSrcAccessOrder,
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index_t ABlockTransferSrcVectorDim,
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index_t ABlockTransferSrcScalarPerVector,
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index_t ABlockTransferDstScalarPerVector_AK1,
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bool AThreadTransferSrcResetCoordinateAfterRun,
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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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bool BThreadTransferSrcResetCoordinateAfterRun,
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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 CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
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index_t CShuffleBlockTransferScalarPerVector_NPerBlock,
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typename CReduceThreadClusterLengths_MPerBlock_NPerBlock,
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index_t CReduceThreadLds2VGprCopySrcDstScalarPerVector_NPerBlock,
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index_t CReduceThreadVgpr2GlobalCopySrcDstScalarPerVector_MPerBlock,
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LoopScheduler LoopSched>
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struct GridwiseGemmBiasAddReduce_k0mk1_k0nk1_mn_xdl_cshuffle_v1
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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 I6 = Number<6>{};
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static constexpr auto I7 = Number<7>{};
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// K1 should be Number<...>
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static constexpr auto AK0 = Number<KPerBlock / AK1Value>{};
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static constexpr auto BK0 = Number<KPerBlock / BK1Value>{};
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static constexpr auto AK1 = Number<AK1Value>{};
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static constexpr auto BK1 = Number<BK1Value>{};
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using ThisThreadBlock = ThisThreadBlock<BlockSize>;
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using GridwiseGemmPipe = GridwiseGemmPipeline_v1<NumGemmKPrefetchStage>;
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__host__ __device__ static constexpr auto GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()
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{
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// A matrix in LDS memory, dst of blockwise copy
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return make_naive_tensor_descriptor(
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make_tuple(AK0, Number<MPerBlock>{}, AK1),
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make_tuple(Number<MPerBlock + ABlockLdsExtraM>{} * AK1, AK1, I1));
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}
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__host__ __device__ static constexpr auto GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1()
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{
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// B matrix in LDS memory, dst of blockwise copy
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return make_naive_tensor_descriptor(
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make_tuple(BK0, Number<NPerBlock>{}, BK1),
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make_tuple(Number<NPerBlock + BBlockLdsExtraN>{} * BK1, BK1, I1));
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}
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__host__ __device__ static constexpr auto
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GetCShuffleBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock()
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{
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constexpr index_t MWave = MPerBlock / (MXdlPerWave * MPerXdl);
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constexpr index_t NWave = NPerBlock / (NXdlPerWave * NPerXdl);
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constexpr auto c_shuffle_block_desc_mblock_mperblock_nblock_nperblock =
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make_naive_tensor_descriptor_packed(
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make_tuple(I1,
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Number<CShuffleMXdlPerWavePerShuffle * MWave * MPerXdl>{},
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I1,
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Number<CShuffleNXdlPerWavePerShuffle * NWave * NPerXdl>{}));
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return c_shuffle_block_desc_mblock_mperblock_nblock_nperblock;
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}
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__host__ __device__ static constexpr index_t GetSharedMemoryNumberOfByte()
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{
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// LDS allocation for A and B: be careful of alignment
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constexpr auto a_block_desc_ak0_m_ak1 = GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1();
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constexpr auto b_block_desc_bk0_n_bk1 = GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1();
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// lds max alignment
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constexpr auto max_lds_align = math::lcm(AK1, BK1);
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constexpr auto a_block_space_size_aligned = math::integer_least_multiple(
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a_block_desc_ak0_m_ak1.GetElementSpaceSize(), max_lds_align);
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constexpr auto b_block_space_size_aligned = math::integer_least_multiple(
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b_block_desc_bk0_n_bk1.GetElementSpaceSize(), max_lds_align);
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// LDS allocation for C shuffle in LDS
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constexpr auto c_shuffle_block_desc_mblock_mperblock_nblock_nperblock =
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GetCShuffleBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock();
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constexpr auto c_block_size =
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c_shuffle_block_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize();
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return math::max((a_block_space_size_aligned + b_block_space_size_aligned) *
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sizeof(FloatAB),
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c_block_size * sizeof(FloatCShuffle));
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}
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// block_id to matrix tile idx (m0, n0) mapping are controlled by {M01, N01}
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template <typename Block2CTileMap>
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__host__ __device__ static constexpr bool
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CheckValidity(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 CGridDesc_M_N& c_grid_desc_m_n,
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const Block2CTileMap& block_2_ctile_map)
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{
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// static_assert(is_known_at_compile_time<remove_cv_t<decltype(AK1)>>::value &&
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// is_known_at_compile_time<remove_cv_t<decltype(BK1)>>::value,
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// "wrong! K1 need to be known at compile-time");
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static_assert((MPerBlock % (MPerXdl * MXdlPerWave) == 0) &&
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(NPerBlock % (NXdlPerWave * NPerXdl)) == 0,
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"Invalid tuning param!");
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const auto M = a_grid_desc_ak0_m_ak1.GetLength(I1);
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const auto N = b_grid_desc_bk0_n_bk1.GetLength(I1);
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const auto K = a_grid_desc_ak0_m_ak1.GetLength(I0) * a_grid_desc_ak0_m_ak1.GetLength(I2);
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if(!(M == c_grid_desc_m_n.GetLength(I0) && N == c_grid_desc_m_n.GetLength(I1)))
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return false;
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if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K % KPerBlock == 0))
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return false;
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// check gridwise gemm pipeline
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const auto num_k_loop = K / KPerBlock;
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if(!GridwiseGemmPipe::IsSupported(num_k_loop))
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{
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return false;
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}
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if(!block_2_ctile_map.CheckValidity(c_grid_desc_m_n))
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{
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return false;
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}
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// TODO: also check validity of all components (blockwise-copy, threadwise-copy, etc)
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return true;
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}
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__host__ __device__ static constexpr bool CalculateHasMainKBlockLoop(index_t K)
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{
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const index_t num_loop = K / KPerBlock;
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return GridwiseGemmPipe::CalculateHasMainLoop(num_loop);
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}
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template <typename CGridDesc_M_N_>
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__host__ __device__ static constexpr auto
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MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(const CGridDesc_M_N_& c_grid_desc_m_n)
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{
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const auto M = c_grid_desc_m_n.GetLength(I0);
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const auto N = c_grid_desc_m_n.GetLength(I1);
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const auto MBlock = M / MPerBlock;
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const auto NBlock = N / NPerBlock;
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const auto c_grid_desc_mblock_mperblock_nblock_nperblock = transform_tensor_descriptor(
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c_grid_desc_m_n,
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make_tuple(make_unmerge_transform(make_tuple(MBlock, Number<MPerBlock>{})),
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make_unmerge_transform(make_tuple(NBlock, Number<NPerBlock>{}))),
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make_tuple(Sequence<0>{}, Sequence<1>{}),
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make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}));
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return c_grid_desc_mblock_mperblock_nblock_nperblock;
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}
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__host__ __device__ static constexpr auto
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MakeDGridDescriptor_MBlock_MPerBlock(const DGridDesc_M& d_grid_desc_m)
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{
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const auto M = d_grid_desc_m.GetLength(I0);
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const auto MBlock = M / MPerBlock;
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const auto d_grid_desc_mblock_mperblock = transform_tensor_descriptor(
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d_grid_desc_m,
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make_tuple(make_unmerge_transform(make_tuple(MBlock, Number<MPerBlock>{}))),
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make_tuple(Sequence<0>{}),
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make_tuple(Sequence<0, 1>{}));
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return d_grid_desc_mblock_mperblock;
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}
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// return block_id to C matrix tile idx (m0, n0) mapping
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__host__ __device__ static constexpr auto
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MakeDefaultBlock2CTileMap(const CGridDesc_M_N& c_grid_desc_m_n)
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{
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return BlockToCTileMap_M00_N0_M01Adapt<MPerBlock, NPerBlock, CGridDesc_M_N>(
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c_grid_desc_m_n);
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}
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using CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
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MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(CGridDesc_M_N{}))>;
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using C0GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
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MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(C0GridDesc_M_N{}))>;
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using C1GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock = remove_cvref_t<decltype(
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MakeCGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(C1GridDesc_M_N{}))>;
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using DGridDescriptor_MBlock_MPerBlock =
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remove_cvref_t<decltype(MakeDGridDescriptor_MBlock_MPerBlock(DGridDesc_M{}))>;
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using DefaultBlock2CTileMap =
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remove_cvref_t<decltype(MakeDefaultBlock2CTileMap(CGridDesc_M_N{}))>;
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template <bool HasMainKBlockLoop, typename Block2CTileMap>
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__device__ static void Run(const FloatAB* __restrict__ p_a_grid,
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const FloatAB* __restrict__ p_b_grid,
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FloatC* __restrict__ p_c_grid,
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const FloatC0* __restrict__ p_c0_grid,
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const FloatC1* __restrict__ p_c1_grid,
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DPtrsGlobal p_ds_grid,
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void* __restrict__ p_shared,
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const AElementwiseOperation& a_element_op,
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const BElementwiseOperation& b_element_op,
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||||
const CElementwiseOperation& c_element_op,
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const C1ElementwiseOperation& c1_element_op,
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const DxsInElementwiseOperation& dxs_in_element_op,
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const DxsReduceAccElementwiseOperation& dxs_out_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 CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
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c_grid_desc_mblock_mperblock_nblock_nperblock,
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const C0GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
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c0_grid_desc_mblock_mperblock_nblock_nperblock,
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const C1GridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
|
||||
c1_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
const DGridDescriptor_MBlock_MPerBlock& d_grid_desc_mblock_mperblock,
|
||||
const Block2CTileMap& block_2_ctile_map)
|
||||
{
|
||||
const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
|
||||
p_a_grid, a_grid_desc_ak0_m_ak1.GetElementSpaceSize());
|
||||
const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
|
||||
p_b_grid, b_grid_desc_bk0_n_bk1.GetElementSpaceSize());
|
||||
auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
|
||||
p_c_grid, c_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
|
||||
auto c0_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
|
||||
p_c0_grid, c0_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
|
||||
auto c1_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
|
||||
p_c1_grid, c1_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
|
||||
|
||||
// divide block work by [M, N]
|
||||
const auto block_work_idx =
|
||||
block_2_ctile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
|
||||
|
||||
if(!block_2_ctile_map.ValidCTileIndex(
|
||||
block_work_idx,
|
||||
make_tuple(c_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I0),
|
||||
c_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I2))))
|
||||
{
|
||||
return;
|
||||
}
|
||||
|
||||
// HACK: this force m/n_block_data_idx_on_grid into SGPR
|
||||
const index_t m_block_data_idx_on_grid =
|
||||
__builtin_amdgcn_readfirstlane(block_work_idx[I0] * MPerBlock);
|
||||
|
||||
const index_t n_block_data_idx_on_grid =
|
||||
__builtin_amdgcn_readfirstlane(block_work_idx[I1] * NPerBlock);
|
||||
|
||||
// lds max alignment
|
||||
constexpr auto max_lds_align = math::lcm(AK1, BK1);
|
||||
|
||||
// A matrix in LDS memory, dst of blockwise copy
|
||||
constexpr auto a_block_desc_ak0_m_ak1 = GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1();
|
||||
|
||||
// B matrix in LDS memory, dst of blockwise copy
|
||||
constexpr auto b_block_desc_bk0_n_bk1 = GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1();
|
||||
|
||||
// A matrix blockwise copy
|
||||
auto a_blockwise_copy =
|
||||
ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
|
||||
AElementwiseOperation,
|
||||
ck::tensor_operation::element_wise::PassThrough,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
Sequence<AK0, MPerBlock, AK1>,
|
||||
ABlockTransferThreadClusterLengths_AK0_M_AK1,
|
||||
ABlockTransferThreadClusterArrangeOrder,
|
||||
FloatAB,
|
||||
FloatAB,
|
||||
decltype(a_grid_desc_ak0_m_ak1),
|
||||
decltype(a_block_desc_ak0_m_ak1),
|
||||
ABlockTransferSrcAccessOrder,
|
||||
Sequence<1, 0, 2>,
|
||||
ABlockTransferSrcVectorDim,
|
||||
2,
|
||||
ABlockTransferSrcScalarPerVector,
|
||||
ABlockTransferDstScalarPerVector_AK1,
|
||||
1,
|
||||
1,
|
||||
AThreadTransferSrcResetCoordinateAfterRun,
|
||||
true,
|
||||
NumGemmKPrefetchStage>(
|
||||
a_grid_desc_ak0_m_ak1,
|
||||
make_multi_index(0, m_block_data_idx_on_grid, 0),
|
||||
a_element_op,
|
||||
a_block_desc_ak0_m_ak1,
|
||||
make_multi_index(0, 0, 0),
|
||||
ck::tensor_operation::element_wise::PassThrough{});
|
||||
|
||||
// B matrix blockwise copy
|
||||
auto b_blockwise_copy =
|
||||
ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
|
||||
BElementwiseOperation,
|
||||
ck::tensor_operation::element_wise::PassThrough,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
Sequence<BK0, NPerBlock, BK1>,
|
||||
BBlockTransferThreadClusterLengths_BK0_N_BK1,
|
||||
BBlockTransferThreadClusterArrangeOrder,
|
||||
FloatAB,
|
||||
FloatAB,
|
||||
decltype(b_grid_desc_bk0_n_bk1),
|
||||
decltype(b_block_desc_bk0_n_bk1),
|
||||
BBlockTransferSrcAccessOrder,
|
||||
Sequence<1, 0, 2>,
|
||||
BBlockTransferSrcVectorDim,
|
||||
2,
|
||||
BBlockTransferSrcScalarPerVector,
|
||||
BBlockTransferDstScalarPerVector_BK1,
|
||||
1,
|
||||
1,
|
||||
BThreadTransferSrcResetCoordinateAfterRun,
|
||||
true,
|
||||
NumGemmKPrefetchStage>(
|
||||
b_grid_desc_bk0_n_bk1,
|
||||
make_multi_index(0, n_block_data_idx_on_grid, 0),
|
||||
b_element_op,
|
||||
b_block_desc_bk0_n_bk1,
|
||||
make_multi_index(0, 0, 0),
|
||||
ck::tensor_operation::element_wise::PassThrough{});
|
||||
|
||||
// GEMM definition
|
||||
// c_mtx += transpose(a_mtx) * b_mtx
|
||||
// a_mtx[K0PerBlock, MPerBlock] is in LDS
|
||||
// b_mtx[K0PerBlock, NPerBlock] is in LDS
|
||||
// c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
|
||||
// register
|
||||
// sanity check
|
||||
constexpr index_t KPack = math::max(
|
||||
math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
|
||||
|
||||
auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
|
||||
BlockSize,
|
||||
FloatAB,
|
||||
FloatGemmAcc,
|
||||
decltype(a_block_desc_ak0_m_ak1),
|
||||
decltype(b_block_desc_bk0_n_bk1),
|
||||
MPerXdl,
|
||||
NPerXdl,
|
||||
MXdlPerWave,
|
||||
NXdlPerWave,
|
||||
KPack,
|
||||
LoopSched>();
|
||||
|
||||
auto c_thread_buf = blockwise_gemm.GetCThreadBuffer();
|
||||
|
||||
// LDS allocation for A and B: be careful of alignment
|
||||
constexpr auto a_block_space_size_aligned = math::integer_least_multiple(
|
||||
a_block_desc_ak0_m_ak1.GetElementSpaceSize(), max_lds_align);
|
||||
|
||||
auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
|
||||
static_cast<FloatAB*>(p_shared), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
|
||||
|
||||
auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
|
||||
static_cast<FloatAB*>(p_shared) + a_block_space_size_aligned,
|
||||
b_block_desc_bk0_n_bk1.GetElementSpaceSize());
|
||||
|
||||
constexpr auto a_block_slice_copy_step = make_multi_index(KPerBlock / AK1, 0, 0);
|
||||
constexpr auto b_block_slice_copy_step = make_multi_index(KPerBlock / BK1, 0, 0);
|
||||
|
||||
// gridwise GEMM pipeline
|
||||
const auto gridwise_gemm_pipeline =
|
||||
GridwiseGemmPipeline_v1_Selector<NumGemmKPrefetchStage, LoopSched>();
|
||||
|
||||
const index_t num_k_block_main_loop = __builtin_amdgcn_readfirstlane(
|
||||
(a_grid_desc_ak0_m_ak1.GetLength(I0) * a_grid_desc_ak0_m_ak1.GetLength(I2)) /
|
||||
KPerBlock);
|
||||
|
||||
gridwise_gemm_pipeline.template Run<HasMainKBlockLoop>(a_grid_desc_ak0_m_ak1,
|
||||
a_block_desc_ak0_m_ak1,
|
||||
a_blockwise_copy,
|
||||
a_grid_buf,
|
||||
a_block_buf,
|
||||
a_block_slice_copy_step,
|
||||
b_grid_desc_bk0_n_bk1,
|
||||
b_block_desc_bk0_n_bk1,
|
||||
b_blockwise_copy,
|
||||
b_grid_buf,
|
||||
b_block_buf,
|
||||
b_block_slice_copy_step,
|
||||
blockwise_gemm,
|
||||
c_thread_buf,
|
||||
num_k_block_main_loop);
|
||||
|
||||
// shuffle C + reduction + write out
|
||||
{
|
||||
static_assert(MXdlPerWave % CShuffleMXdlPerWavePerShuffle == 0 &&
|
||||
NXdlPerWave % CShuffleNXdlPerWavePerShuffle == 0,
|
||||
"wrong!");
|
||||
|
||||
constexpr index_t MWave = MPerBlock / (MXdlPerWave * MPerXdl);
|
||||
constexpr index_t NWave = NPerBlock / (NXdlPerWave * NPerXdl);
|
||||
|
||||
// TODO: hacky, fix it!
|
||||
constexpr auto c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2 =
|
||||
blockwise_gemm.GetCThreadDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
|
||||
|
||||
// TODO: hacky, fix it!
|
||||
// c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp is only used to get lengths
|
||||
constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp =
|
||||
blockwise_gemm.GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
|
||||
|
||||
constexpr auto M0 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I0);
|
||||
constexpr auto N0 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I1);
|
||||
constexpr auto M1 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I2);
|
||||
constexpr auto N1 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I3);
|
||||
constexpr auto M2 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I4);
|
||||
constexpr auto M3 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I5);
|
||||
constexpr auto M4 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I6);
|
||||
constexpr auto N2 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I7);
|
||||
|
||||
constexpr auto c_shuffle_block_desc_mblock_mperblock_nblock_nperblock =
|
||||
GetCShuffleBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock();
|
||||
|
||||
auto c_shuffle_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
|
||||
static_cast<FloatCShuffle*>(p_shared),
|
||||
c_shuffle_block_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
|
||||
|
||||
constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2 = transform_tensor_descriptor(
|
||||
c_shuffle_block_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_tuple(
|
||||
make_freeze_transform(I0),
|
||||
make_unmerge_transform(make_tuple(
|
||||
Number<CShuffleMXdlPerWavePerShuffle>{}, // M0 (MXdlPerWave) per shuffle
|
||||
M1, // M1 = MWave
|
||||
M2, // M2 * M3 * M4 = MPerXdl
|
||||
M3,
|
||||
M4)),
|
||||
make_freeze_transform(I0),
|
||||
make_unmerge_transform(make_tuple(
|
||||
Number<CShuffleNXdlPerWavePerShuffle>{}, // N0 (NXdlPerWave) per shuffle
|
||||
N1, // N1 = NWave
|
||||
N2))), // N2 = NPerXdl
|
||||
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
|
||||
make_tuple(
|
||||
Sequence<>{}, Sequence<0, 2, 4, 5, 6>{}, Sequence<>{}, Sequence<1, 3, 7>{}));
|
||||
|
||||
// calculate origin of thread output tensor on global memory
|
||||
// blockwise GEMM c matrix starting index
|
||||
const auto c_thread_mtx_on_block =
|
||||
blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, I0);
|
||||
|
||||
const index_t m_thread_data_on_block = c_thread_mtx_on_block[I0];
|
||||
const index_t n_thread_data_on_block = c_thread_mtx_on_block[I1];
|
||||
|
||||
const auto m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor =
|
||||
make_single_stage_tensor_adaptor(
|
||||
make_tuple(make_merge_transform(make_tuple(M0, M1, M2, M3, M4))),
|
||||
make_tuple(Sequence<0, 1, 2, 3, 4>{}),
|
||||
make_tuple(Sequence<0>{}));
|
||||
|
||||
const auto m_thread_data_on_block_idx =
|
||||
m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor.CalculateBottomIndex(
|
||||
make_multi_index(m_thread_data_on_block));
|
||||
|
||||
const auto n_thread_data_on_block_to_n0_n1_n2_adaptor =
|
||||
make_single_stage_tensor_adaptor(
|
||||
make_tuple(make_merge_transform(make_tuple(N0, N1, N2))),
|
||||
make_tuple(Sequence<0, 1, 2>{}),
|
||||
make_tuple(Sequence<0>{}));
|
||||
|
||||
const auto n_thread_data_on_block_idx =
|
||||
n_thread_data_on_block_to_n0_n1_n2_adaptor.CalculateBottomIndex(
|
||||
make_multi_index(n_thread_data_on_block));
|
||||
|
||||
// shuffle: threadwise copy C from VGPR to LDS
|
||||
auto c_thread_copy_vgpr_to_lds =
|
||||
ThreadwiseTensorSliceTransfer_v1r3<FloatGemmAcc,
|
||||
FloatCShuffle,
|
||||
decltype(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2),
|
||||
decltype(c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2),
|
||||
ck::tensor_operation::element_wise::PassThrough,
|
||||
Sequence<CShuffleMXdlPerWavePerShuffle,
|
||||
CShuffleNXdlPerWavePerShuffle,
|
||||
I1,
|
||||
I1,
|
||||
M2,
|
||||
I1,
|
||||
M4,
|
||||
I1>,
|
||||
Sequence<0, 1, 2, 3, 4, 5, 6, 7>,
|
||||
7,
|
||||
1,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
1,
|
||||
true>{
|
||||
c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
|
||||
make_multi_index(0,
|
||||
0,
|
||||
m_thread_data_on_block_idx[I1],
|
||||
n_thread_data_on_block_idx[I1],
|
||||
m_thread_data_on_block_idx[I2],
|
||||
m_thread_data_on_block_idx[I3],
|
||||
m_thread_data_on_block_idx[I4],
|
||||
n_thread_data_on_block_idx[I2]),
|
||||
ck::tensor_operation::element_wise::PassThrough{}};
|
||||
|
||||
// space filling curve for threadwise C in VGPR
|
||||
constexpr auto sfc_c_vgpr =
|
||||
SpaceFillingCurve<Sequence<MXdlPerWave, NXdlPerWave, 1, 1, M2, 1, M4, 1>,
|
||||
Sequence<0, 1, 2, 3, 4, 5, 6, 7>,
|
||||
Sequence<CShuffleMXdlPerWavePerShuffle,
|
||||
CShuffleNXdlPerWavePerShuffle,
|
||||
1,
|
||||
1,
|
||||
M2,
|
||||
1,
|
||||
M4,
|
||||
1>>{};
|
||||
|
||||
// space filling curve for shuffled blockwise C in global mem
|
||||
constexpr auto sfc_c_global =
|
||||
SpaceFillingCurve<Sequence<1, MPerBlock, 1, NPerBlock>,
|
||||
Sequence<0, 2, 1, 3>,
|
||||
Sequence<1,
|
||||
CShuffleMXdlPerWavePerShuffle * MWave * MPerXdl,
|
||||
1,
|
||||
CShuffleNXdlPerWavePerShuffle * NWave * NPerXdl>>{};
|
||||
|
||||
// TODO: this should be implemented as a blockwise reduction
|
||||
// LDS c_reduce_block_desc_mperblock_nperblock
|
||||
constexpr auto c_reduce_block_desc_mperblock_nperblock = transform_tensor_descriptor(
|
||||
c_shuffle_block_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_tuple(
|
||||
make_freeze_transform(I0),
|
||||
make_pass_through_transform(
|
||||
c_shuffle_block_desc_mblock_mperblock_nblock_nperblock.GetLength(I1)),
|
||||
make_freeze_transform(I0),
|
||||
make_pass_through_transform(
|
||||
c_shuffle_block_desc_mblock_mperblock_nblock_nperblock.GetLength(I3))),
|
||||
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
|
||||
make_tuple(Sequence<>{}, Sequence<0>{}, Sequence<>{}, Sequence<1>{}));
|
||||
|
||||
static_assert(CReduceThreadClusterLengths_MPerBlock_NPerBlock::At(I0) *
|
||||
CReduceThreadClusterLengths_MPerBlock_NPerBlock::At(I1) ==
|
||||
BlockSize,
|
||||
"wrong!");
|
||||
|
||||
static_assert((CShuffleMXdlPerWavePerShuffle * MWave * MPerXdl) %
|
||||
CReduceThreadClusterLengths_MPerBlock_NPerBlock::At(I0) ==
|
||||
0 &&
|
||||
(CShuffleNXdlPerWavePerShuffle * NWave * NPerXdl) %
|
||||
CReduceThreadClusterLengths_MPerBlock_NPerBlock::At(I1) ==
|
||||
0,
|
||||
"wrong!");
|
||||
|
||||
constexpr index_t mreduce_per_thread =
|
||||
(CShuffleMXdlPerWavePerShuffle * MWave * MPerXdl) /
|
||||
CReduceThreadClusterLengths_MPerBlock_NPerBlock::At(I0);
|
||||
|
||||
constexpr index_t nreduce_per_thread =
|
||||
(CShuffleNXdlPerWavePerShuffle * NWave * NPerXdl) /
|
||||
CReduceThreadClusterLengths_MPerBlock_NPerBlock::At(I1);
|
||||
|
||||
constexpr auto c_reduce_thread_lengths_mperblock_nperblock =
|
||||
Sequence<mreduce_per_thread, nreduce_per_thread>{};
|
||||
|
||||
// VGPR c_reduce_thread_desc_mperblock_nperblock
|
||||
constexpr auto c_reduce_thread_desc_mperblock_nperblock =
|
||||
make_naive_tensor_descriptor_packed(
|
||||
make_tuple(Number<mreduce_per_thread>{}, Number<nreduce_per_thread>{}));
|
||||
|
||||
// VGPR d_reduce_thread_desc_mperblock
|
||||
constexpr auto d_reduce_thread_desc_mperblock =
|
||||
make_naive_tensor_descriptor_packed(make_tuple(Number<mreduce_per_thread>{}));
|
||||
|
||||
// VGPR d_reduce_thread_desc_mblock_mperblock
|
||||
constexpr auto d_reduce_thread_desc_mblock_mperblock =
|
||||
make_naive_tensor_descriptor_packed(make_tuple(I1, Number<mreduce_per_thread>{}));
|
||||
|
||||
auto c_reduce_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, FloatReduceAcc>(
|
||||
c_reduce_thread_desc_mperblock_nperblock.GetElementSpaceSize());
|
||||
|
||||
// reduce: threadwise copy from LDS to VGPR
|
||||
constexpr auto c_reduce_thread_cluster_desc = make_cluster_descriptor(
|
||||
CReduceThreadClusterLengths_MPerBlock_NPerBlock{}, Sequence<1, 0>{});
|
||||
|
||||
const auto c_reduce_thread_cluster_idx =
|
||||
c_reduce_thread_cluster_desc.CalculateBottomIndex(
|
||||
make_multi_index(get_thread_local_1d_id()));
|
||||
|
||||
const auto c_reduce_thread_data_idx_begin =
|
||||
c_reduce_thread_cluster_idx * c_reduce_thread_lengths_mperblock_nperblock;
|
||||
|
||||
auto c_reduce_thread_copy_lds_to_vgpr = ThreadwiseTensorSliceTransfer_v2<
|
||||
FloatCShuffle,
|
||||
FloatReduceAcc,
|
||||
decltype(c_reduce_block_desc_mperblock_nperblock),
|
||||
decltype(c_reduce_thread_desc_mperblock_nperblock),
|
||||
decltype(c_reduce_thread_lengths_mperblock_nperblock),
|
||||
Sequence<0, 1>,
|
||||
1,
|
||||
CReduceThreadLds2VGprCopySrcDstScalarPerVector_NPerBlock,
|
||||
1,
|
||||
true>{c_reduce_block_desc_mperblock_nperblock, c_reduce_thread_data_idx_begin};
|
||||
|
||||
auto dxs_reduce_thread_copy_vgpr_to_global = generate_tuple(
|
||||
[&](auto I) {
|
||||
auto p_d_grid = p_ds_grid[I];
|
||||
auto d_out_element_op = dxs_out_element_op[I];
|
||||
|
||||
return ThreadwiseTensorSliceTransfer_v1r3<
|
||||
FloatReduceAcc,
|
||||
remove_pointer_t<decltype(p_d_grid)>,
|
||||
decltype(d_reduce_thread_desc_mblock_mperblock),
|
||||
decltype(d_grid_desc_mblock_mperblock),
|
||||
decltype(d_out_element_op),
|
||||
Sequence<1, mreduce_per_thread>,
|
||||
Sequence<0, 1>,
|
||||
1,
|
||||
CReduceThreadVgpr2GlobalCopySrcDstScalarPerVector_MPerBlock,
|
||||
DGlobalMemoryDataOperation::At(I),
|
||||
1,
|
||||
false>{d_grid_desc_mblock_mperblock,
|
||||
make_multi_index(block_work_idx[I0], // mblock
|
||||
c_reduce_thread_data_idx_begin[I0]), // mperblock
|
||||
d_out_element_op};
|
||||
},
|
||||
Number<p_ds_grid.Size()>{});
|
||||
|
||||
// c0 and c1
|
||||
constexpr auto c0_reduce_thread_desc_mblock_mperblock_nblock_nperblock =
|
||||
make_naive_tensor_descriptor_packed(
|
||||
make_tuple(I1, Number<mreduce_per_thread>{}, I1, Number<nreduce_per_thread>{}));
|
||||
|
||||
constexpr auto c1_reduce_thread_desc_mblock_mperblock_nblock_nperblock =
|
||||
c0_reduce_thread_desc_mblock_mperblock_nblock_nperblock;
|
||||
|
||||
auto c01_thread_buf = make_static_buffer<AddressSpaceEnum::Vgpr, FloatReduceAcc>(
|
||||
c0_reduce_thread_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
|
||||
|
||||
auto c0_thread_copy_global_to_vgpr = ThreadwiseTensorSliceTransfer_v2<
|
||||
FloatC0,
|
||||
FloatReduceAcc,
|
||||
decltype(c0_grid_desc_mblock_mperblock_nblock_nperblock),
|
||||
decltype(c0_reduce_thread_desc_mblock_mperblock_nblock_nperblock),
|
||||
Sequence<I1, mreduce_per_thread, I1, nreduce_per_thread>,
|
||||
Sequence<0, 1, 2, 3>,
|
||||
3,
|
||||
CReduceThreadLds2VGprCopySrcDstScalarPerVector_NPerBlock,
|
||||
1,
|
||||
true>(
|
||||
c0_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_multi_index(I0,
|
||||
m_block_data_idx_on_grid + c_reduce_thread_data_idx_begin[I0],
|
||||
I0,
|
||||
n_block_data_idx_on_grid + c_reduce_thread_data_idx_begin[I1]));
|
||||
|
||||
auto c1_thread_copy_global_to_vgpr = ThreadwiseTensorSliceTransfer_v2<
|
||||
FloatC1,
|
||||
FloatReduceAcc,
|
||||
decltype(c1_grid_desc_mblock_mperblock_nblock_nperblock),
|
||||
decltype(c1_reduce_thread_desc_mblock_mperblock_nblock_nperblock),
|
||||
Sequence<I1, mreduce_per_thread, I1, nreduce_per_thread>,
|
||||
Sequence<0, 1, 2, 3>,
|
||||
3,
|
||||
CReduceThreadLds2VGprCopySrcDstScalarPerVector_NPerBlock,
|
||||
1,
|
||||
true>(
|
||||
c1_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_multi_index(I0,
|
||||
m_block_data_idx_on_grid + c_reduce_thread_data_idx_begin[I0],
|
||||
I0,
|
||||
n_block_data_idx_on_grid + c_reduce_thread_data_idx_begin[I1]));
|
||||
|
||||
constexpr auto c_reduce_thread_desc_mblock_mperblock_nblock_nperblock =
|
||||
make_naive_tensor_descriptor_packed(
|
||||
make_tuple(I1, Number<mreduce_per_thread>{}, I1, Number<nreduce_per_thread>{}));
|
||||
|
||||
auto c_reduce_thread_copy_vgpr_to_global = ThreadwiseTensorSliceTransfer_v1r3<
|
||||
FloatReduceAcc,
|
||||
FloatC,
|
||||
decltype(c_reduce_thread_desc_mblock_mperblock_nblock_nperblock),
|
||||
decltype(c_grid_desc_mblock_mperblock_nblock_nperblock),
|
||||
tensor_operation::element_wise::PassThrough,
|
||||
Sequence<I1, mreduce_per_thread, I1, nreduce_per_thread>, // SliceLengths
|
||||
Sequence<0, 1, 2, 3>, // DimAccessOrder
|
||||
3, // DstVectorDim
|
||||
CReduceThreadLds2VGprCopySrcDstScalarPerVector_NPerBlock,
|
||||
InMemoryDataOperationEnum::Set,
|
||||
1,
|
||||
true>{
|
||||
c_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_multi_index(I0,
|
||||
m_block_data_idx_on_grid + c_reduce_thread_data_idx_begin[I0],
|
||||
I0,
|
||||
n_block_data_idx_on_grid + c_reduce_thread_data_idx_begin[I1]),
|
||||
tensor_operation::element_wise::PassThrough{}};
|
||||
|
||||
constexpr index_t num_access = sfc_c_vgpr.GetNumOfAccess();
|
||||
|
||||
static_assert(num_access == sfc_c_global.GetNumOfAccess(), "wrong!");
|
||||
|
||||
static_for<0, num_access, 1>{}([&](auto access_id) {
|
||||
// each thread write its data from VGPR to LDS
|
||||
c_thread_copy_vgpr_to_lds.Run(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2,
|
||||
sfc_c_vgpr.GetIndexTupleOfNumber(access_id),
|
||||
c_thread_buf,
|
||||
c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
|
||||
c_shuffle_block_buf);
|
||||
|
||||
// make sure it's safe to write to LDS
|
||||
block_sync_lds();
|
||||
{
|
||||
c_reduce_thread_copy_lds_to_vgpr.Run(c_reduce_block_desc_mperblock_nperblock,
|
||||
c_shuffle_block_buf,
|
||||
c_reduce_thread_desc_mperblock_nperblock,
|
||||
make_tuple(I0, I0),
|
||||
c_reduce_thread_buf);
|
||||
|
||||
c0_thread_copy_global_to_vgpr.Run(
|
||||
c0_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
c0_grid_buf,
|
||||
c0_reduce_thread_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
c01_thread_buf);
|
||||
|
||||
// c = activation(c + bias)
|
||||
static_for<0, c_reduce_thread_desc_mperblock_nperblock.GetElementSize(), 1>{}(
|
||||
[&](auto i) {
|
||||
FloatReduceAcc out;
|
||||
c_element_op(out, c_reduce_thread_buf(i) + c01_thread_buf(i));
|
||||
c_reduce_thread_buf(i) = out;
|
||||
});
|
||||
|
||||
c1_thread_copy_global_to_vgpr.Run(
|
||||
c1_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
c1_grid_buf,
|
||||
c1_reduce_thread_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
c01_thread_buf);
|
||||
|
||||
// c = c + c1_functior(c1)
|
||||
static_for<0, c_reduce_thread_desc_mperblock_nperblock.GetElementSize(), 1>{}(
|
||||
[&](auto i) {
|
||||
c1_element_op(c01_thread_buf(i), c01_thread_buf(i));
|
||||
c_reduce_thread_buf(i) += c01_thread_buf(i);
|
||||
});
|
||||
|
||||
c_reduce_thread_copy_vgpr_to_global.Run(
|
||||
c_reduce_thread_desc_mblock_mperblock_nblock_nperblock,
|
||||
make_tuple(I0, I0, I0, I0),
|
||||
c_reduce_thread_buf,
|
||||
c_grid_desc_mblock_mperblock_nblock_nperblock,
|
||||
c_grid_buf);
|
||||
|
||||
static_for<0, p_ds_grid.Size(), 1>{}([&](auto In) {
|
||||
auto& p_d_grid = p_ds_grid[In];
|
||||
|
||||
auto d_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
|
||||
p_d_grid, d_grid_desc_mblock_mperblock.GetElementSpaceSize());
|
||||
|
||||
auto d_thread_buf =
|
||||
make_static_buffer<AddressSpaceEnum::Vgpr, FloatReduceAcc>(
|
||||
d_reduce_thread_desc_mperblock.GetElementSpaceSize());
|
||||
|
||||
auto& d_in_element_op = dxs_in_element_op[In];
|
||||
|
||||
auto& d_reduce_thread_copy_vgpr_to_global =
|
||||
dxs_reduce_thread_copy_vgpr_to_global(In);
|
||||
|
||||
using DReduceOperation = remove_cvref_t<decltype(DxsReduceOperation{}[In])>;
|
||||
using ThreadwiseReduce =
|
||||
ThreadwiseReduction<FloatReduceAcc,
|
||||
decltype(c_reduce_thread_desc_mperblock_nperblock),
|
||||
decltype(d_reduce_thread_desc_mperblock),
|
||||
DReduceOperation,
|
||||
false>;
|
||||
|
||||
// Global write Gemm shuffle + reduction
|
||||
const auto d_zeroVal = DReduceOperation::GetIdentityValue();
|
||||
|
||||
static_for<0, mreduce_per_thread, 1>{}(
|
||||
[&](auto I) { d_thread_buf(I) = d_zeroVal; });
|
||||
|
||||
// reduce in VGPR
|
||||
static_for<0, mreduce_per_thread, 1>{}([&](auto im) {
|
||||
static_for<0, nreduce_per_thread, 1>{}([&](auto in) {
|
||||
constexpr auto offset =
|
||||
Number<c_reduce_thread_desc_mperblock_nperblock.CalculateOffset(
|
||||
make_tuple(im, in))>{};
|
||||
|
||||
d_in_element_op(c_reduce_thread_buf(offset),
|
||||
c_reduce_thread_buf(offset));
|
||||
});
|
||||
});
|
||||
|
||||
ThreadwiseReduce::Reduce(c_reduce_thread_buf, d_thread_buf);
|
||||
|
||||
// copy from VGPR to Global
|
||||
d_reduce_thread_copy_vgpr_to_global.Run(
|
||||
d_reduce_thread_desc_mblock_mperblock,
|
||||
make_tuple(I0, I0),
|
||||
d_thread_buf,
|
||||
d_grid_desc_mblock_mperblock,
|
||||
d_grid_buf);
|
||||
|
||||
if constexpr(access_id < num_access - 1)
|
||||
{
|
||||
constexpr auto c_global_step = sfc_c_global.GetForwardStep(access_id);
|
||||
d_reduce_thread_copy_vgpr_to_global.MoveDstSliceWindow(
|
||||
d_grid_desc_mblock_mperblock,
|
||||
make_tuple(c_global_step[I0], c_global_step[I1]));
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
if constexpr(access_id < num_access - 1)
|
||||
{
|
||||
constexpr auto c_global_step = sfc_c_global.GetForwardStep(access_id);
|
||||
|
||||
// move on C
|
||||
c_reduce_thread_copy_vgpr_to_global.MoveDstSliceWindow(
|
||||
c_grid_desc_mblock_mperblock_nblock_nperblock, c_global_step);
|
||||
|
||||
// move on C0
|
||||
c0_thread_copy_global_to_vgpr.MoveSrcSliceWindow(
|
||||
c0_grid_desc_mblock_mperblock_nblock_nperblock, c_global_step);
|
||||
|
||||
// move on C1
|
||||
c1_thread_copy_global_to_vgpr.MoveSrcSliceWindow(
|
||||
c1_grid_desc_mblock_mperblock_nblock_nperblock, c_global_step);
|
||||
}
|
||||
});
|
||||
} // Reduction
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace ck
|
||||
@@ -21,7 +21,7 @@ template <typename GridwiseGemm,
|
||||
typename BElementwiseOperation,
|
||||
typename CElementwiseOperation,
|
||||
typename DxsInElementwiseOperation,
|
||||
typename DxsAccElementwiseOperation,
|
||||
typename DxsReduceAccElementwiseOperation,
|
||||
typename AGridDesc_AK0_M_AK1,
|
||||
typename BGridDesc_BK0_N_BK1,
|
||||
typename CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock,
|
||||
@@ -41,7 +41,7 @@ __global__ void
|
||||
const BElementwiseOperation b_element_op,
|
||||
const CElementwiseOperation c_element_op,
|
||||
const DxsInElementwiseOperation dxs_in_element_op,
|
||||
const DxsAccElementwiseOperation dxs_out_element_op,
|
||||
const DxsReduceAccElementwiseOperation dxs_out_element_op,
|
||||
const AGridDesc_AK0_M_AK1 a_grid_desc_ak0_m_ak1,
|
||||
const BGridDesc_BK0_N_BK1 b_grid_desc_bk0_n_bk1,
|
||||
const CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock
|
||||
@@ -96,7 +96,7 @@ template <typename FloatAB,
|
||||
typename CElementwiseOperation,
|
||||
typename DxsReduceOperation,
|
||||
typename DxsInElementwiseOperation,
|
||||
typename DxsAccElementwiseOperation,
|
||||
typename DxsReduceAccElementwiseOperation,
|
||||
InMemoryDataOperationEnum CGlobalMemoryDataOperation,
|
||||
typename DGlobalMemoryDataOperation,
|
||||
typename AGridDesc_AK0_M_AK1,
|
||||
@@ -329,7 +329,7 @@ struct GridwiseGemmReduce_k0mk1_k0nk1_mn_xdl_cshuffle_v1
|
||||
const BElementwiseOperation& b_element_op,
|
||||
const CElementwiseOperation& c_element_op,
|
||||
const DxsInElementwiseOperation& dxs_in_element_op,
|
||||
const DxsAccElementwiseOperation& dxs_out_element_op,
|
||||
const DxsReduceAccElementwiseOperation& dxs_out_element_op,
|
||||
const AGridDesc_AK0_M_AK1& a_grid_desc_ak0_m_ak1,
|
||||
const BGridDesc_BK0_N_BK1& b_grid_desc_bk0_n_bk1,
|
||||
const CGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
|
||||
|
||||
Reference in New Issue
Block a user