mirror of
https://github.com/ROCm/composable_kernel.git
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30072aec37
* experimenting magic number division * overhauling fwd-v4r4 to clearly reflect transformation graph * added fwd-v4r5 * bug fix for make_dynamic_naive_tensor_descriptor_aligned_v2 * bug fix and added sanity-check in transform_dynamic_tensor_descriptor * added conv_driver_v2
388 lines
19 KiB
C++
388 lines
19 KiB
C++
#ifndef CK_DRIVER_DYNAMIC_GEMM_V1
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#define CK_DRIVER_DYNAMIC_GEMM_V1
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#include "common_header.hpp"
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#include "dynamic_tensor_descriptor.hpp"
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#include "dynamic_tensor_descriptor_helper.hpp"
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#include "gridwise_dynamic_gemm_v1r1.hpp"
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namespace ck {
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template <index_t BlockSize,
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typename FloatAB,
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typename FloatAcc,
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typename FloatC,
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InMemoryDataOperation CGlobalMemoryDataOperation,
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typename AGlobalDesc,
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typename BGlobalDesc,
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typename CGlobalDesc,
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typename CBlockClusterDesc,
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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 M1PerThread,
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index_t N1PerThread,
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index_t KPerThread,
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index_t M1N1ThreadClusterM10,
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index_t M1N1ThreadClusterN10,
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index_t M1N1ThreadClusterM11,
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index_t M1N1ThreadClusterN11,
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typename ABlockTransferThreadSliceLengths_K_M,
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typename ABlockTransferThreadClusterLengths_K_M,
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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_M,
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bool AThreadTransferSrcResetCoordinateAfterRun,
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typename BBlockTransferThreadSliceLengths_K_N,
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typename BBlockTransferThreadClusterLengths_K_N,
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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_N,
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bool BThreadTransferSrcResetCoordinateAfterRun,
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typename CThreadTransferSrcDstAccessOrder,
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index_t CThreadTransferSrcDstVectorDim,
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index_t CThreadTransferDstScalarPerVector,
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typename AGlobalIteratorHacks,
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typename BGlobalIteratorHacks,
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typename CGlobalIteratorHacks,
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typename AGlobalMoveSliceWindowIteratorHacks,
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typename BGlobalMoveSliceWindowIteratorHacks>
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__host__ float launch_kernel_dynamic_gemm_v1r1(const FloatAB* p_a_global,
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const FloatAB* p_b_global,
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FloatC* p_c_global,
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const AGlobalDesc& a_k_m_global_desc,
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const BGlobalDesc& b_k_n_global_desc,
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const CGlobalDesc& c_m0_m1_n0_n1_global_desc,
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const CBlockClusterDesc& c_block_cluster_desc,
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AGlobalIteratorHacks,
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BGlobalIteratorHacks,
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CGlobalIteratorHacks,
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AGlobalMoveSliceWindowIteratorHacks,
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BGlobalMoveSliceWindowIteratorHacks,
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index_t nrepeat)
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{
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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constexpr auto I2 = Number<2>{};
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constexpr auto I3 = Number<3>{};
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const auto M = a_k_m_global_desc.GetLength(I1);
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const auto N = b_k_n_global_desc.GetLength(I1);
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const auto K = a_k_m_global_desc.GetLength(I0);
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if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K % KPerBlock == 0))
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{
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throw std::runtime_error("wrong! GEMM size no divisible");
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}
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constexpr auto M1 = Number<M1PerThread * M1N1ThreadClusterM11 * M1N1ThreadClusterM10>{};
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constexpr auto N1 = Number<N1PerThread * M1N1ThreadClusterN11 * M1N1ThreadClusterN10>{};
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if(!(MPerBlock % M1 == 0 && NPerBlock % N1 == 0))
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{
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throw std::runtime_error("wrong! GEMM size no divisible");
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}
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// GEMM
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using gridwise_gemm =
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GridwiseDynamicGemm_km_kn_m0m1n0n1_v1r1<BlockSize,
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FloatAB,
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FloatAcc,
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FloatC,
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CGlobalMemoryDataOperation,
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AGlobalDesc,
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BGlobalDesc,
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CGlobalDesc,
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CBlockClusterDesc,
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MPerBlock,
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NPerBlock,
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KPerBlock,
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M1PerThread,
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N1PerThread,
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KPerThread,
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M1N1ThreadClusterM10,
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M1N1ThreadClusterN10,
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M1N1ThreadClusterM11,
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M1N1ThreadClusterN11,
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ABlockTransferThreadSliceLengths_K_M,
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ABlockTransferThreadClusterLengths_K_M,
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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_M,
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AThreadTransferSrcResetCoordinateAfterRun,
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BBlockTransferThreadSliceLengths_K_N,
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BBlockTransferThreadClusterLengths_K_N,
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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_N,
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BThreadTransferSrcResetCoordinateAfterRun,
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CThreadTransferSrcDstAccessOrder,
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CThreadTransferSrcDstVectorDim,
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CThreadTransferDstScalarPerVector,
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AGlobalIteratorHacks,
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BGlobalIteratorHacks,
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CGlobalIteratorHacks,
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AGlobalMoveSliceWindowIteratorHacks,
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BGlobalMoveSliceWindowIteratorHacks>;
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const auto GridSize = (M / MPerBlock) * (N / NPerBlock);
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const bool has_main_k_block_loop = (K + KPerBlock) / (2 * KPerBlock) > 1;
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const bool has_double_tail_k_block_loop = (K / KPerBlock) % 2 == 0;
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#if CK_EXPERIMENTAL_PASS_TENSOR_DESCRIPTOR_BY_VALUE
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float ave_time = 0;
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if(has_main_k_block_loop && has_double_tail_k_block_loop)
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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true,
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true>;
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ave_time = launch_and_time_kernel(kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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a_k_m_global_desc,
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b_k_n_global_desc,
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c_m0_m1_n0_n1_global_desc,
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c_block_cluster_desc);
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}
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else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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true,
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false>;
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ave_time = launch_and_time_kernel(kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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a_k_m_global_desc,
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b_k_n_global_desc,
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c_m0_m1_n0_n1_global_desc,
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c_block_cluster_desc);
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}
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else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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false,
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true>;
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ave_time = launch_and_time_kernel(kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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a_k_m_global_desc,
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b_k_n_global_desc,
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c_m0_m1_n0_n1_global_desc,
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c_block_cluster_desc);
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}
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else
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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false,
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false>;
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ave_time = launch_and_time_kernel(kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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a_k_m_global_desc,
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b_k_n_global_desc,
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c_m0_m1_n0_n1_global_desc,
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c_block_cluster_desc);
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}
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return ave_time;
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#elif CK_EXPERIMENTAL_PASS_TENSOR_DESCRIPTOR_BY_VOID_POINTER
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DeviceMem a_k_m_global_desc_device_buf(sizeof(AGlobalDesc));
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DeviceMem b_k_n_global_desc_device_buf(sizeof(BGlobalDesc));
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DeviceMem c_m0_m1_n0_n1_global_desc_device_buf(sizeof(CGlobalDesc));
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DeviceMem c_block_cluster_desc_device_buf(sizeof(c_block_cluster_desc));
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a_k_m_global_desc_device_buf.ToDevice(&a_k_m_global_desc);
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b_k_n_global_desc_device_buf.ToDevice(&b_k_n_global_desc);
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c_m0_m1_n0_n1_global_desc_device_buf.ToDevice(&c_m0_m1_n0_n1_global_desc);
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c_block_cluster_desc_device_buf.ToDevice(&c_block_cluster_desc);
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float ave_time = 0;
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if(has_main_k_block_loop && has_double_tail_k_block_loop)
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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true,
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true>;
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ave_time = launch_and_time_kernel(
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kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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(void __CONSTANT__*)a_k_m_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)b_k_n_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_m0_m1_n0_n1_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_block_cluster_desc_device_buf.GetDeviceBuffer());
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}
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else if(has_main_k_block_loop && !has_double_tail_k_block_loop)
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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true,
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false>;
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ave_time = launch_and_time_kernel(
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kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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(void __CONSTANT__*)a_k_m_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)b_k_n_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_m0_m1_n0_n1_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_block_cluster_desc_device_buf.GetDeviceBuffer());
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}
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else if(!has_main_k_block_loop && has_double_tail_k_block_loop)
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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false,
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true>;
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ave_time = launch_and_time_kernel(
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kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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(void __CONSTANT__*)a_k_m_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)b_k_n_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_m0_m1_n0_n1_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_block_cluster_desc_device_buf.GetDeviceBuffer());
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}
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else
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{
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const auto kernel = kernel_dynamic_gemm_v1r1<gridwise_gemm,
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FloatAB,
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FloatAB,
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FloatC,
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remove_reference_t<AGlobalDesc>,
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remove_reference_t<BGlobalDesc>,
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remove_reference_t<CGlobalDesc>,
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remove_reference_t<CBlockClusterDesc>,
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false,
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false>;
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ave_time = launch_and_time_kernel(
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kernel,
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nrepeat,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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0,
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p_a_global,
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p_b_global,
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p_c_global,
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(void __CONSTANT__*)a_k_m_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)b_k_n_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_m0_m1_n0_n1_global_desc_device_buf.GetDeviceBuffer(),
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(void __CONSTANT__*)c_block_cluster_desc_device_buf.GetDeviceBuffer());
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}
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return ave_time;
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#endif
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}
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} // namespace ck
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#endif
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