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https://github.com/ROCm/composable_kernel.git
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add a missing file
This commit is contained in:
Chao Liu
@@ -0,0 +1,382 @@
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#pragma once
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#include "common.hip.hpp"
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#include "ConstantTensorDescriptor.hip.hpp"
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#include "ConstantMatrixDescriptor.hip.hpp"
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#include "blockwise_4d_tensor_op.hip.hpp"
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#include "blockwise_2d_tensor_op.hip.hpp"
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#include "threadwise_2d_tensor_op.hip.hpp"
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#include "blockwise_gemm.hip.hpp"
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// define B = flatten(N, Hi, Wi)
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template <index_t GridSize,
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index_t BlockSize,
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class Float,
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class InGlobalDesc,
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class WeiGlobalDesc,
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class OutGlobalDesc,
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index_t BPerBlock,
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index_t KPerBlock,
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index_t CPerBlock,
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index_t BPerThread,
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index_t KPerThread,
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index_t GemmThreadPerColumnPerCluster,
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index_t GemmThreadPerRowPerCluster,
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index_t GemmMPerThreadSubC,
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index_t GemmNPerThreadSubC,
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index_t GemmMLevel0Cluster,
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index_t GemmNLevel0Cluster,
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index_t GemmMLevel1Cluster,
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index_t GemmNLevel1Cluster,
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index_t GemmKPerThreadLoop,
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index_t InBlockCopyThreadPerDim0,
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index_t InBlockCopyThreadPerDim1,
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index_t WeiBlockCopyThreadPerDim0,
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index_t WeiBlockCopyThreadPerDim1,
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index_t InBlockCopyDataPerRead,
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index_t WeiBlockCopyDataPerRead>
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struct GridwiseConvolutionImplicitGemm_v2_chwn_cyxk_khwn_lds_double_buffer
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{
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__host__ __device__ constexpr GridwiseConvolutionImplicitGemm_v2_chwn_cyxk_khwn_lds_double_buffer() {}
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__device__ void Run(const Float* const __restrict__ p_in_global,
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const Float* const __restrict__ p_wei_global,
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Float* const __restrict__ p_out_global) const
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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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constexpr auto in_chwn_global_desc = InGlobalDesc{};
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constexpr auto wei_cyxk_global_desc = WeiGlobalDesc{};
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constexpr auto out_khwn_global_desc = OutGlobalDesc{};
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constexpr index_t C = in_chwn_global_desc.GetLength(I0);
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constexpr index_t Hi = in_chwn_global_desc.GetLength(I1);
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constexpr index_t Wi = in_chwn_global_desc.GetLength(I2);
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constexpr index_t N = in_chwn_global_desc.GetLength(I3);
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constexpr index_t K = out_khwn_global_desc.GetLength(I0);
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constexpr index_t Ho = out_khwn_global_desc.GetLength(I1);
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constexpr index_t Wo = out_khwn_global_desc.GetLength(I2);
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constexpr index_t Y = wei_cyxk_global_desc.GetLength(I1);
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constexpr index_t X = wei_cyxk_global_desc.GetLength(I2);
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constexpr index_t B = N * Hi * Wi;
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constexpr index_t BGhostRead = (Y - 1) * Wi + (X - 1);
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// divide block work by 2d: [K, B]
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constexpr index_t KBlockWork = (K + KPerBlock - 1) / KPerBlock;
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constexpr index_t BBlockWork = (B + BPerBlock - 1) / BPerBlock;
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const index_t k_block_work_id = get_block_1d_id() / BBlockWork;
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const index_t b_block_work_id = get_block_1d_id() - k_block_work_id * BBlockWork;
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const index_t k_block_data_begin = k_block_work_id * KPerBlock;
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const index_t b_block_data_begin = b_block_work_id * BPerBlock;
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// flattend (2d) tensor view of gridwise input
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constexpr auto in_cb_global_desc = make_ConstantTensorDescriptor(Sequence<C, B>{});
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constexpr auto wei_ek_global_desc = make_ConstantTensorDescriptor(Sequence<C * Y * X, K>{});
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// tensor view of blockwise input and weight
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// be careful of alignment
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constexpr auto in_cb_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, BPerBlock + BGhostRead>{}, Number<InBlockCopyDataPerRead>{});
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constexpr auto wei_ek_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock * Y * X, KPerBlock>{}, Number<WeiBlockCopyDataPerRead>{});
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constexpr auto wei_cyxk_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<CPerBlock, Y, X, KPerBlock>{}, Number<WeiBlockCopyDataPerRead>{});
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// tensor view of threadwise output in register
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constexpr auto out_kb_thread_desc =
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make_ConstantTensorDescriptor(Sequence<KPerThread, BPerThread>{});
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#if 0
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if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
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{
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print_ConstantTensorDescriptor(in_chwn_global_desc, "in_chwn_global_desc");
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print_ConstantTensorDescriptor(wei_cyxk_global_desc, "wei_cyxk_global_desc");
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print_ConstantTensorDescriptor(out_khwn_global_desc, "out_khwn_global_desc");
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print_ConstantTensorDescriptor(in_cb_global_desc, "in_cb_global_desc");
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print_ConstantTensorDescriptor(wei_ek_global_desc, "wei_ek_global_desc");
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print_ConstantTensorDescriptor(in_cb_block_desc, "in_cb_block_desc");
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print_ConstantTensorDescriptor(wei_cyxk_block_desc, "wei_cyxk_block_desc");
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print_ConstantTensorDescriptor(wei_ek_block_desc, "wei_ek_block_desc");
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print_ConstantTensorDescriptor(out_kb_thread_desc, "out_kb_thread_desc");
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printf("KPerBlock %u\n", KPerBlock);
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}
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#endif
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// blockwise in copy
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// formmat is [CPerBlock,BPerBlock + BGhostRead]
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#if 0
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const auto blockwise_in_copy =
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Blockwise2dTensorCopy1<BlockSize,
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Float,
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decltype(in_cb_global_desc),
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decltype(in_cb_block_desc),
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decltype(in_cb_block_desc.GetLengths())>{};
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#elif 0
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const auto blockwise_in_copy =
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Blockwise2dTensorCopy2<BlockSize,
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Float,
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decltype(in_cb_global_desc),
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decltype(in_cb_block_desc),
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decltype(in_cb_block_desc.GetLengths()),
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InBlockCopyThreadPerDim0,
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InBlockCopyThreadPerDim1>{};
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#elif 1
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const auto blockwise_in_copy =
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Blockwise2dTensorCopy3<BlockSize,
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Float,
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decltype(in_cb_global_desc),
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decltype(in_cb_block_desc),
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decltype(in_cb_block_desc.GetLengths()),
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InBlockCopyDataPerRead>{};
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#endif
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// blockwise wei copy
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// format is [CPerBlock*Y*X,KPerBlock]
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#if 0
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const auto blockwise_wei_copy =
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Blockwise2dTensorCopy1<BlockSize,
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Float,
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decltype(wei_ek_global_desc),
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decltype(wei_ek_block_desc),
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decltype(wei_ek_block_desc.GetLengths())>{};
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#elif 0
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const auto blockwise_wei_copy =
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Blockwise2dTensorCopy2<BlockSize,
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Float,
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decltype(wei_ek_global_desc),
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decltype(wei_ek_block_desc),
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decltype(wei_ek_block_desc.GetLengths()),
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WeiBlockCopyThreadPerDim0,
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WeiBlockCopyThreadPerDim1>{};
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#elif 1
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const auto blockwise_wei_copy =
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Blockwise2dTensorCopy3<BlockSize,
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Float,
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decltype(wei_ek_global_desc),
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decltype(wei_ek_block_desc),
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decltype(wei_ek_block_desc.GetLengths()),
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WeiBlockCopyDataPerRead>{};
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#endif
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// a series of blockwise GEMM
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// c_mtx += transpose(a_mtx) * b_mtx
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// a_mtx and b_mtx saved in LDS, c_mtx saved in register
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// a_mtx[C,K] is a sub-matrix of wei_block[C,Y,X,K]
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// b_mtx[C,B] is a subset of in_block[C,B + BGhostRead]
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// c_mtx[K,B] is out_block[K,B]
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constexpr auto a_cxk_block_mtx_desc = make_ConstantMatrixDescriptor(
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Number<CPerBlock>{}, Number<KPerBlock>{}, Number<wei_cyxk_block_desc.GetStride(I0)>{});
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constexpr auto b_cxb_block_mtx_desc = make_ConstantMatrixDescriptor(
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Number<CPerBlock>{}, Number<BPerBlock>{}, Number<in_cb_block_desc.GetStride(I0)>{});
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constexpr auto c_kxb_thread_mtx_desc =
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make_ConstantMatrixDescriptor(Number<KPerThread>{}, Number<BPerThread>{});
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#if 0
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const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadC<BlockSize,
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decltype(a_cxk_block_mtx_desc),
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decltype(b_cxb_block_mtx_desc),
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decltype(c_kxb_thread_mtx_desc),
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true,
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false,
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false,
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GemmKPerThreadLoop,
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GemmThreadPerColumnPerCluster,
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GemmThreadPerRowPerCluster,
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true>{};
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#else
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const auto blockwise_gemm =
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BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2<BlockSize,
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decltype(a_cxk_block_mtx_desc),
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decltype(b_cxb_block_mtx_desc),
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decltype(c_kxb_thread_mtx_desc),
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GemmMPerThreadSubC,
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GemmNPerThreadSubC,
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GemmMLevel0Cluster,
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GemmNLevel0Cluster,
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GemmMLevel1Cluster,
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GemmNLevel1Cluster,
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GemmKPerThreadLoop>{};
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#endif
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// LDS: be careful of alignment
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constexpr index_t in_block_element_size =
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in_cb_block_desc.GetElementSpace(Number<InBlockCopyDataPerRead>{});
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constexpr index_t wei_block_element_size =
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wei_cyxk_block_desc.GetElementSpace(Number<WeiBlockCopyDataPerRead>{});
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constexpr index_t max_align = InBlockCopyDataPerRead > WeiBlockCopyDataPerRead
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? InBlockCopyDataPerRead
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: WeiBlockCopyDataPerRead;
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// LDS double buffer
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__shared__ Float
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p_in_block_0[max_align * ((in_block_element_size + max_align - 1) / max_align)];
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__shared__ Float
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p_wei_block_0[max_align * ((wei_block_element_size + max_align - 1) / max_align)];
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__shared__ Float
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p_in_block_1[max_align * ((in_block_element_size + max_align - 1) / max_align)];
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__shared__ Float
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p_wei_block_1[max_align * ((wei_block_element_size + max_align - 1) / max_align)];
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const Float* p_in_global_block_offset =
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p_in_global + in_cb_global_desc.Get1dIndex(0, b_block_data_begin);
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const Float* p_wei_global_block_offset =
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p_wei_global + wei_cyxk_global_desc.Get1dIndex(0, 0, 0, k_block_data_begin);
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// preload data into LDS
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blockwise_in_copy.Run(p_in_global_block_offset, p_in_block_0);
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blockwise_wei_copy.Run(p_wei_global_block_offset, p_wei_block_0);
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p_in_global_block_offset += CPerBlock * in_cb_global_desc.GetStride(I0);
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p_wei_global_block_offset += CPerBlock * wei_cyxk_global_desc.GetStride(I0);
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// register
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Float p_out_thread[out_kb_thread_desc.GetElementSpace()];
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// set threadwise output tensor to 0
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threadwise_2d_tensor_set_zero(out_kb_thread_desc, p_out_thread);
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bool even_loop = true;
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for(index_t c_block_data_begin = 0; c_block_data_begin + CPerBlock < C;
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c_block_data_begin += CPerBlock,
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p_in_global_block_offset += CPerBlock * in_cb_global_desc.GetStride(I0),
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p_wei_global_block_offset += CPerBlock * wei_cyxk_global_desc.GetStride(I0),
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even_loop = !even_loop)
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{
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Float* p_in_block_now = even_loop ? p_in_block_0 : p_in_block_1;
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Float* p_wei_block_now = even_loop ? p_wei_block_0 : p_wei_block_1;
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Float* p_in_block_next = even_loop ? p_in_block_1 : p_in_block_0;
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Float* p_wei_block_next = even_loop ? p_wei_block_1 : p_wei_block_0;
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__syncthreads();
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// load next data
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#if 0
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blockwise_in_copy.Run(p_in_global_block_offset, p_in_block_next);
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blockwise_wei_copy.Run(p_wei_global_block_offset, p_wei_block_next);
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#elif 1
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Float p_in_register_clipboard[blockwise_in_copy.GetRegisterClipboardSize()];
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Float p_wei_register_clipboard[blockwise_wei_copy.GetRegisterClipboardSize()];
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blockwise_in_copy.RunLoadRegisterClipboard(p_in_global_block_offset,
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p_in_register_clipboard);
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blockwise_wei_copy.RunLoadRegisterClipboard(p_wei_global_block_offset,
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p_wei_register_clipboard);
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#endif
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// compute on current data
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// a series of GEMM
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for(index_t y = 0; y < Y; ++y)
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{
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for(index_t x = 0; x < X; ++x)
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{
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auto f_accum = [](auto& acc, const auto&& v) { acc += v; };
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#if 1
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blockwise_gemm.Run
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#else
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blockwise_gemm.Run_RegisterDoubleBuffer
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#endif
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(p_wei_block_now + wei_cyxk_block_desc.Get1dIndex(0, y, x, 0),
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p_in_block_now + y * Wi + x,
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p_out_thread,
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f_accum);
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}
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}
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#if 1
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blockwise_in_copy.RunStoreRegisterClipboard(p_in_register_clipboard, p_in_block_next);
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blockwise_wei_copy.RunStoreRegisterClipboard(p_wei_register_clipboard,
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p_wei_block_next);
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#endif
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}
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// last computation
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{
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Float* p_in_block_now = even_loop ? p_in_block_0 : p_in_block_1;
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Float* p_wei_block_now = even_loop ? p_wei_block_0 : p_wei_block_1;
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__syncthreads();
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for(index_t y = 0; y < Y; ++y)
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{
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for(index_t x = 0; x < X; ++x)
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{
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auto f_accum = [](auto& acc, const auto&& v) { acc += v; };
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#if 1
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blockwise_gemm.Run
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#else
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blockwise_gemm.Run_RegisterDoubleBuffer
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#endif
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(p_wei_block_now + wei_cyxk_block_desc.Get1dIndex(0, y, x, 0),
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p_in_block_now + y * Wi + x,
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p_out_thread,
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f_accum);
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}
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}
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}
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// output: register to global mem,
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const auto c_thread_mtx_begin =
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blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
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const index_t k_thread_data_begin = k_block_data_begin + c_thread_mtx_begin.row;
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const index_t b_thread_data_begin = b_block_data_begin + c_thread_mtx_begin.col;
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#if 0
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if(get_block_1d_id() == 0)
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{
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printf("%u %u, row %u col %u, k_data_begin %u b_data_begin %u, %f %f %f %f\n",
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get_block_1d_id(),
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get_thread_local_1d_id(),
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matrix_c_index.row,
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matrix_c_index.col,
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k_data_begin,
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b_data_begin,
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p_out_thread[0], p_out_thread[1], p_out_thread[2], p_out_thread[3]);
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}
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#endif
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for(index_t k = 0; k < out_kb_thread_desc.GetLength(I0); ++k)
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{
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for(index_t b = 0; b < out_kb_thread_desc.GetLength(I1); ++b)
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{
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const auto c_thread_mtx_distance =
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blockwise_gemm.GetDistanceFromBeginOfThreadMatrixC(k, b);
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index_t k_data = k_thread_data_begin + c_thread_mtx_distance.row;
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index_t b_data = b_thread_data_begin + c_thread_mtx_distance.col;
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index_t h_data = b_data / (Wi * N);
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index_t itmp = b_data - h_data * (Wi * N);
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index_t w_data = itmp / N;
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index_t n_data = itmp - w_data * N;
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if(n_data < N && h_data < Ho && w_data < Wo)
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{
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p_out_global[out_khwn_global_desc.Get1dIndex(k_data, h_data, w_data, n_data)] =
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p_out_thread[out_kb_thread_desc.Get1dIndex(k, b)];
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}
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}
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}
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}
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};
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