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https://github.com/ROCm/composable_kernel.git
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added implicit gemm v4r4 and double buffer
This commit is contained in:
Chao Liu
@@ -0,0 +1,380 @@
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#ifndef CK_GRIDWISE_CONVOLUTION_IMPLICIT_GEMM_V4R4_NCHW_KCYX_NKHW_HPP_LDS_DOUBLE_BUFFER_HPP
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#define CK_GRIDWISE_CONVOLUTION_IMPLICIT_GEMM_V4R4_NCHW_KCYX_NKHW_HPP_LDS_DOUBLE_BUFFER_HPP
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#include "common_header.hpp"
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#include "ConstantTensorDescriptor.hpp"
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#include "ConstantMergedTensorDescriptor.hpp"
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#include "ConstantMatrixDescriptor.hpp"
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#include "blockwise_generic_tensor_slice_copy.hpp"
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#include "blockwise_gemm.hpp"
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#include "threadwise_generic_tensor_slice_copy.hpp"
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namespace ck {
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// B = merge(N, Ho, Wo)
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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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class ConvStrides,
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class ConvDilations,
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index_t BPerBlock,
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index_t KPerBlock,
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index_t EPerBlock,
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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 GemmDataPerReadA,
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index_t GemmDataPerReadB,
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class InBlockCopySubLengths_E_B,
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class InBlockCopyClusterLengths_E_B,
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class InBlockCopyThreadClusterArrangeOrder,
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class InBlockCopySrcAccessOrder,
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class InBlockCopyDstAccessOrder,
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index_t InBlockCopyDataPerAccess_B,
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class WeiBlockCopySubLengths_E_K,
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class WeiBlockCopyClusterLengths_E_K,
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class WeiBlockCopyThreadClusterArrangeOrder,
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class WeiBlockCopySrcAccessOrder,
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class WeiBlockCopyDstAccessOrder,
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index_t WeiBlockCopySrcDataPerRead_E,
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index_t WeiBlockCopyDstDataPerWrite_K>
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struct GridwiseConvolutionImplicitGemm_v4r4_nchw_kcyx_nkhw_lds_double_buffer
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{
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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 I5 = Number<5>{};
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constexpr auto True = integral_constant<bool, true>{};
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constexpr auto in_n_c_h_w_global_desc = InGlobalDesc{};
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constexpr auto wei_k_c_y_x_global_desc = WeiGlobalDesc{};
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constexpr auto out_n_k_h_w_global_desc = OutGlobalDesc{};
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constexpr index_t N = in_n_c_h_w_global_desc.GetLengths()[0];
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constexpr index_t C = in_n_c_h_w_global_desc.GetLengths()[1];
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constexpr index_t K = out_n_k_h_w_global_desc.GetLengths()[1];
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constexpr index_t Ho = out_n_k_h_w_global_desc.GetLengths()[2];
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constexpr index_t Wo = out_n_k_h_w_global_desc.GetLengths()[3];
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constexpr index_t Y = wei_k_c_y_x_global_desc.GetLengths()[2];
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constexpr index_t X = wei_k_c_y_x_global_desc.GetLengths()[3];
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constexpr index_t ConvStrideH = ConvStrides{}[0];
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constexpr index_t ConvStrideW = ConvStrides{}[1];
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constexpr index_t ConvDilationH = ConvDilations{}[0];
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constexpr index_t ConvDilationW = ConvDilations{}[1];
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constexpr index_t E = C * Y * X;
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constexpr index_t B = N * Ho * Wo;
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static_assert((X == 1 || ConvDilationW % InBlockCopyDataPerAccess_B == 0),
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"wrong! aligment requirement for vectorized global load of input tensor will "
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"be violated");
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// divide block work by [K, B]
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static_assert(K % KPerBlock == 0 && B % BPerBlock == 0 && E % (2 * EPerBlock) == 0,
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"wrong! cannot divide work evenly among block");
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constexpr index_t KBlockWork = K / KPerBlock;
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constexpr index_t BBlockWork = B / BPerBlock;
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constexpr auto block_work_desc =
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make_ConstantTensorDescriptor_packed(Sequence<KBlockWork, BBlockWork>{});
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const auto block_work_multi_id =
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block_work_desc.GetMultiIndexFrom1dIndex(get_block_1d_id());
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const index_t k_block_data_on_global = block_work_multi_id[0] * KPerBlock;
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const index_t b_block_data_on_global = block_work_multi_id[1] * BPerBlock;
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// input tensor
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// tensor descriptor in device memory [N, Ho, Wo]
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constexpr auto in_n_ho_wo_global_desc =
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in_n_c_h_w_global_desc.Extract(I0, I2, I3)
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.StridedSlice(I1, Number<Ho>{}, Number<ConvStrideH>{})
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.StridedSlice(I2, Number<Wo>{}, Number<ConvStrideW>{});
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// batch descritpor for device memory
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constexpr auto in_c_y_x_global_desc =
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in_n_c_h_w_global_desc.StridedSlice(I2, Number<Y>{}, Number<ConvDilationH>{})
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.StridedSlice(I3, Number<X>{}, Number<ConvDilationW>{})
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.Extract(Sequence<1, 2, 3>{});
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// merged tensor descriptor in device memory [E, B], src of blockwise copy
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constexpr auto in_e_b_global_desc =
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make_ConstantMergedTensorDescriptor(in_c_y_x_global_desc.Embed(in_n_ho_wo_global_desc),
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Sequence<0, 1, 2>{},
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Sequence<3, 4, 5>{});
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// memory layout descriptor in LDS [E, B], dst of blockwise copy
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// be careful of LDS alignment
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constexpr auto in_e_b_block_desc =
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make_ConstantTensorDescriptor_packed(Sequence<EPerBlock, BPerBlock>{});
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// input blockwise copy
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// slice a merged tensor, reorder and copy to a normal tensor
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// this copy operator already has blockwise offset built-in
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auto blockwise_in_copy =
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BlockwiseGenericTensorSliceCopy_v2<BlockSize,
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Float,
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decltype(in_e_b_global_desc),
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decltype(in_e_b_block_desc),
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MergedTensorCoordinate<decltype(in_e_b_global_desc)>,
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NormalTensorCoordinate<decltype(in_e_b_block_desc)>,
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decltype(in_e_b_block_desc.GetLengths()),
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InBlockCopySubLengths_E_B,
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InBlockCopyClusterLengths_E_B,
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InBlockCopyThreadClusterArrangeOrder>(
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{0, b_block_data_on_global}, {0, 0});
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// weight tensor
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// tensor descriptor in device memory, src of blockwise copy
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constexpr auto wei_e_k_global_desc =
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wei_k_c_y_x_global_desc.Unfold(I1, I3).ReorderGivenNew2Old(Sequence<1, 0>{});
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// tensor descriptor in LDS, dst of blockwise copy
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// be careful of LDS alignment
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constexpr auto wei_e_k_block_desc = make_ConstantTensorDescriptor_aligned(
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Sequence<EPerBlock, KPerBlock>{},
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Number<math::lcm(WeiBlockCopyDstDataPerWrite_K, GemmDataPerReadA)>{});
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// operator for blockwise copy of weight into LDS
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// slice a tensor, and copy it into another tensor
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// this copy operator already have blockwise offset built-in
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auto blockwise_wei_copy = BlockwiseGenericTensorSliceCopy_v2<
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BlockSize,
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Float,
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decltype(wei_e_k_global_desc),
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decltype(wei_e_k_block_desc),
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NormalTensorCoordinate<decltype(wei_e_k_global_desc)>,
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NormalTensorCoordinate<decltype(wei_e_k_block_desc)>,
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decltype(wei_e_k_block_desc.GetLengths()),
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WeiBlockCopySubLengths_E_K,
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WeiBlockCopyClusterLengths_E_K,
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WeiBlockCopyThreadClusterArrangeOrder>({0, k_block_data_on_global}, {0, 0});
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// GEMM definition
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// c_mtx += transpose(a_mtx) * b_mtx
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// a_mtx[EPerBlock, KPerBlock] is in LDS
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// b_mtx[EPerBlocl, BPerBlock] is in LDS
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// c_mtx[KPerBlock, BPerBlock] is distributed among threads, and saved in
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// register
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constexpr auto a_e_k_block_mtx_desc =
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make_ConstantMatrixDescriptor_from_ConstantTensorDescriptor(wei_e_k_block_desc);
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constexpr auto b_e_b_block_mtx_desc =
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make_ConstantMatrixDescriptor_from_ConstantTensorDescriptor(in_e_b_block_desc);
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// sanity check
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static_assert(
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KPerBlock % (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster) == 0 &&
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BPerBlock % (GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster) == 0,
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"wrong!");
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constexpr index_t GemmMRepeat =
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KPerBlock / (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster);
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constexpr index_t GemmNRepeat =
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BPerBlock / (GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster);
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// c_thread_mtx definition: this is a mess
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// TODO:: more elegent way of defining c_thread_mtx
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constexpr auto c_k0k1_b0b1_thread_mtx_desc = make_ConstantMatrixDescriptor_packed(
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Number<GemmMRepeat * GemmMPerThreadSubC>{}, Number<GemmNRepeat * GemmNPerThreadSubC>{});
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const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2<
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BlockSize,
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decltype(a_e_k_block_mtx_desc),
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decltype(b_e_b_block_mtx_desc),
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decltype(c_k0k1_b0b1_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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GemmDataPerReadA,
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GemmDataPerReadB>{};
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// LDS allocation for input and weight: be careful of alignment
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constexpr index_t max_align = math::lcm(InBlockCopyDataPerAccess_B,
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WeiBlockCopyDstDataPerWrite_K,
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GemmDataPerReadA,
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GemmDataPerReadB);
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constexpr index_t in_block_space =
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math::integer_least_multiple(in_e_b_block_desc.GetElementSpace(), max_align);
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constexpr index_t wei_block_space =
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math::integer_least_multiple(wei_e_k_block_desc.GetElementSpace(), max_align);
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__shared__ Float p_in_block_double[2 * in_block_space];
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__shared__ Float p_wei_block_double[2 * wei_block_space];
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// register allocation for output
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Float p_out_thread[c_k0k1_b0b1_thread_mtx_desc.GetElementSpace()];
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// zero out threadwise output
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threadwise_matrix_set_zero(c_k0k1_b0b1_thread_mtx_desc, p_out_thread);
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const Float* p_wei_block_on_global = p_wei_global;
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// LDS double buffer: preload data into LDS
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{
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blockwise_in_copy.Run(p_in_global, p_in_block_double);
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blockwise_wei_copy.Run(p_wei_global, p_wei_block_double);
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}
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// LDS double buffer: main body
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for(index_t e_block_data_begin = 0; e_block_data_begin + 2 * EPerBlock < E;
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e_block_data_begin += 2 * EPerBlock)
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{
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#pragma unroll
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for(index_t iloop = 0; iloop < 2; ++iloop)
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{
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const bool even_loop = (iloop % 2 == 0);
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Float* p_in_block_now =
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even_loop ? p_in_block_double : p_in_block_double + in_block_space;
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Float* p_wei_block_now =
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even_loop ? p_wei_block_double : p_wei_block_double + wei_block_space;
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Float* p_in_block_next =
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even_loop ? p_in_block_double + in_block_space : p_in_block_double;
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Float* p_wei_block_next =
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even_loop ? p_wei_block_double + wei_block_space : p_wei_block_double;
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Float p_in_register_buffer[blockwise_in_copy.GetRegisterBufferSize()];
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Float p_wei_register_buffer[blockwise_wei_copy.GetRegisterBufferSize()];
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blockwise_in_copy.MoveSrcSlicingWindow({EPerBlock, 0}, true);
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blockwise_wei_copy.MoveSrcSlicingWindow({EPerBlock, 0}, true);
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__syncthreads();
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// LDS doubel buffer: load next data from device mem
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blockwise_in_copy.RunLoadRegisterBuffer(p_in_global, p_in_register_buffer);
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blockwise_wei_copy.RunLoadRegisterBuffer(p_wei_block_on_global,
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p_wei_register_buffer);
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// LDS double buffer: GEMM on current data
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blockwise_gemm.Run(p_wei_block_now, p_in_block_now, p_out_thread);
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// LDS double buffer: store next data to LDS
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blockwise_in_copy.RunStoreRegisterBuffer(p_in_register_buffer, p_in_block_next);
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blockwise_wei_copy.RunStoreRegisterBuffer(p_wei_register_buffer, p_wei_block_next);
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}
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}
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// LDS double buffer: tail
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{
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Float p_in_register_buffer[blockwise_in_copy.GetRegisterBufferSize()];
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Float p_wei_register_buffer[blockwise_wei_copy.GetRegisterBufferSize()];
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// even iteration
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blockwise_in_copy.MoveSrcSlicingWindow({EPerBlock, 0}, true);
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blockwise_wei_copy.MoveSrcSlicingWindow({EPerBlock, 0}, true);
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__syncthreads();
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// LDS doubel buffer: load next data from device mem
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blockwise_in_copy.RunLoadRegisterBuffer(p_in_global, p_in_register_buffer);
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blockwise_wei_copy.RunLoadRegisterBuffer(p_wei_block_on_global, p_wei_register_buffer);
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// LDS double buffer: GEMM on current data
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blockwise_gemm.Run(p_wei_block_double, p_in_block_double, p_out_thread);
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// LDS double buffer: store next data to LDS
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blockwise_in_copy.RunStoreRegisterBuffer(p_in_register_buffer,
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p_in_block_double + in_block_space);
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blockwise_wei_copy.RunStoreRegisterBuffer(p_wei_register_buffer,
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p_wei_block_double + wei_block_space);
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// odd iteration
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__syncthreads();
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// LDS double buffer: GEMM on current data
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blockwise_gemm.Run(p_wei_block_double + wei_block_space,
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p_in_block_double + in_block_space,
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p_out_thread);
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}
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// copy output: register to global memory
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{
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constexpr index_t K1 = GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster;
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constexpr index_t B1 = GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster;
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// define tensor descriptor for threadwise copy
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// output global descriptor, for calculating origin of thread tensor
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// in global memory
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constexpr auto out_k_b_global_desc = make_ConstantMergedTensorDescriptor(
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out_n_k_h_w_global_desc, Sequence<1>{}, Sequence<0, 2, 3>{});
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// calculate origin of thread output tensor on global memory
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// blockwise GEMM c matrix starting index
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const auto c_thread_mtx_on_block =
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blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
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const index_t k_thread_data_on_global =
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k_block_data_on_global + c_thread_mtx_on_block.row;
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const index_t b_thread_data_on_global =
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b_block_data_on_global + c_thread_mtx_on_block.col;
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// This is a hack, because slicing a merged dimension is not supported yet.
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// This should be replaced with logic above, once slicing a merged dimension support
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// become available
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// dst descriptor
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constexpr auto out_k0_k1_b_global_desc =
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make_ConstantMergedTensorDescriptor(out_n_k_h_w_global_desc.Fold(I1, Number<K1>{}),
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Sequence<1>{},
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Sequence<2>{},
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Sequence<0, 3, 4>{});
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// src descriptor
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constexpr auto out_k0_k1_b_thread_desc = make_ConstantTensorDescriptor_packed(
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Sequence<GemmMRepeat, GemmMPerThreadSubC, GemmNRepeat * GemmNPerThreadSubC>{});
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using OutThreadCopySliceLengths =
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Sequence<GemmMRepeat, GemmMPerThreadSubC, GemmNPerThreadSubC>;
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auto threadwise_out_copy = ThreadwiseGenericTensorSliceCopy_v2<
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Float,
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decltype(out_k0_k1_b_thread_desc),
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decltype(out_k0_k1_b_global_desc),
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NormalTensorCoordinate<decltype(out_k0_k1_b_thread_desc)>,
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MergedTensorCoordinate<decltype(out_k0_k1_b_global_desc)>,
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OutThreadCopySliceLengths>({0, 0, 0},
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{k_thread_data_on_global / K1,
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k_thread_data_on_global % K1,
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b_thread_data_on_global});
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for(index_t nrepeat = 0; nrepeat < GemmNRepeat; ++nrepeat)
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{
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threadwise_out_copy.Run(p_out_thread, p_out_global);
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threadwise_out_copy.MoveSrcSlicingWindow({0, 0, GemmNPerThreadSubC}, true);
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threadwise_out_copy.MoveDstSlicingWindow({0, 0, B1}, true);
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}
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}
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}
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};
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} // namespace ck
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#endif
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@@ -4,7 +4,7 @@
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#include "tensor.hpp"
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#include "gridwise_convolution_kernel_wrapper.hpp"
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#include "gridwise_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw.hpp"
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//#include "gridwise_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw_lds_double_buffer.hpp"
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#include "gridwise_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw_lds_double_buffer.hpp"
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using namespace ck;
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|
||||
@@ -132,39 +132,44 @@ void device_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc,
|
||||
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
|
||||
|
||||
constexpr auto gridwise_conv =
|
||||
GridwiseConvolutionImplicitGemm_v4r4_nchw_kcyx_nkhw<GridSize,
|
||||
BlockSize,
|
||||
T,
|
||||
decltype(in_nchw_desc),
|
||||
decltype(wei_kcyx_desc),
|
||||
decltype(out_nkhw_desc),
|
||||
ConvStrides,
|
||||
ConvDilations,
|
||||
BPerBlock,
|
||||
KPerBlock,
|
||||
EPerBlock,
|
||||
GemmMPerThreadSubC,
|
||||
GemmNPerThreadSubC,
|
||||
GemmMLevel0Cluster,
|
||||
GemmNLevel0Cluster,
|
||||
GemmMLevel1Cluster,
|
||||
GemmNLevel1Cluster,
|
||||
GemmKPerThreadLoop,
|
||||
GemmDataPerReadA,
|
||||
GemmDataPerReadB,
|
||||
InBlockCopySubLengths_E_B,
|
||||
InBlockCopyClusterLengths_E_B,
|
||||
InBlockCopyThreadClusterArrangeOrder,
|
||||
InBlockCopySrcAccessOrder,
|
||||
InBlockCopyDstAccessOrder,
|
||||
InBlockCopyDataPerAccess_B,
|
||||
WeiBlockCopySubLengths_E_K,
|
||||
WeiBlockCopyClusterLengths_E_K,
|
||||
WeiBlockCopyThreadClusterArrangeOrder,
|
||||
WeiBlockCopySrcAccessOrder,
|
||||
WeiBlockCopyDstAccessOrder,
|
||||
WeiBlockCopySrcDataPerRead_E,
|
||||
WeiBlockCopyDstDataPerWrite_K>{};
|
||||
#if 0
|
||||
GridwiseConvolutionImplicitGemm_v4r4_nchw_kcyx_nkhw
|
||||
#else
|
||||
GridwiseConvolutionImplicitGemm_v4r4_nchw_kcyx_nkhw_lds_double_buffer
|
||||
#endif
|
||||
<GridSize,
|
||||
BlockSize,
|
||||
T,
|
||||
decltype(in_nchw_desc),
|
||||
decltype(wei_kcyx_desc),
|
||||
decltype(out_nkhw_desc),
|
||||
ConvStrides,
|
||||
ConvDilations,
|
||||
BPerBlock,
|
||||
KPerBlock,
|
||||
EPerBlock,
|
||||
GemmMPerThreadSubC,
|
||||
GemmNPerThreadSubC,
|
||||
GemmMLevel0Cluster,
|
||||
GemmNLevel0Cluster,
|
||||
GemmMLevel1Cluster,
|
||||
GemmNLevel1Cluster,
|
||||
GemmKPerThreadLoop,
|
||||
GemmDataPerReadA,
|
||||
GemmDataPerReadB,
|
||||
InBlockCopySubLengths_E_B,
|
||||
InBlockCopyClusterLengths_E_B,
|
||||
InBlockCopyThreadClusterArrangeOrder,
|
||||
InBlockCopySrcAccessOrder,
|
||||
InBlockCopyDstAccessOrder,
|
||||
InBlockCopyDataPerAccess_B,
|
||||
WeiBlockCopySubLengths_E_K,
|
||||
WeiBlockCopyClusterLengths_E_K,
|
||||
WeiBlockCopyThreadClusterArrangeOrder,
|
||||
WeiBlockCopySrcAccessOrder,
|
||||
WeiBlockCopyDstAccessOrder,
|
||||
WeiBlockCopySrcDataPerRead_E,
|
||||
WeiBlockCopyDstDataPerWrite_K>{};
|
||||
|
||||
for(index_t i = 0; i < nrepeat; ++i)
|
||||
{
|
||||
|
||||
@@ -101,159 +101,6 @@ int main(int argc, char* argv[])
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 3x3, 56x56
|
||||
constexpr index_t N = 64;
|
||||
constexpr index_t C = 64;
|
||||
constexpr index_t HI = 56;
|
||||
constexpr index_t WI = 56;
|
||||
constexpr index_t K = 128;
|
||||
constexpr index_t Y = 3;
|
||||
constexpr index_t X = 3;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 3x3 filter, 28x28 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 256;
|
||||
constexpr index_t HI = 28;
|
||||
constexpr index_t WI = 28;
|
||||
constexpr index_t K = 128;
|
||||
constexpr index_t Y = 3;
|
||||
constexpr index_t X = 3;
|
||||
|
||||
using ConvStrides = Sequence<1, 1>;
|
||||
using ConvDilations = Sequence<1, 1>;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 1x1 filter, 28x28 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 512;
|
||||
constexpr index_t HI = 28;
|
||||
constexpr index_t WI = 28;
|
||||
constexpr index_t K = 512;
|
||||
constexpr index_t Y = 1;
|
||||
constexpr index_t X = 1;
|
||||
|
||||
using ConvStrides = Sequence<1, 1>;
|
||||
using ConvDilations = Sequence<1, 1>;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 3x3 filter, 20x84 image, 1x1 padding
|
||||
constexpr index_t N = 16;
|
||||
constexpr index_t C = 256;
|
||||
constexpr index_t HI = 20;
|
||||
constexpr index_t WI = 84;
|
||||
constexpr index_t K = 256;
|
||||
constexpr index_t Y = 3;
|
||||
constexpr index_t X = 3;
|
||||
|
||||
constexpr index_t HPad = 1;
|
||||
constexpr index_t WPad = 1;
|
||||
#elif 0
|
||||
// 3x3 filter, 112x112 image, 1x1 padding
|
||||
constexpr index_t N = 16;
|
||||
constexpr index_t C = 64;
|
||||
constexpr index_t HI = 112;
|
||||
constexpr index_t WI = 112;
|
||||
constexpr index_t K = 128;
|
||||
constexpr index_t Y = 3;
|
||||
constexpr index_t X = 3;
|
||||
|
||||
constexpr index_t HPad = 1;
|
||||
constexpr index_t WPad = 1;
|
||||
#elif 0
|
||||
// 5x5 filter, 20x86 image
|
||||
constexpr index_t N = 16;
|
||||
constexpr index_t C = 256;
|
||||
constexpr index_t HI = 20;
|
||||
constexpr index_t WI = 86;
|
||||
constexpr index_t K = 512;
|
||||
constexpr index_t Y = 5;
|
||||
constexpr index_t X = 5;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 5x5 filter, 20x86 image, 1x1 padding
|
||||
constexpr index_t N = 16;
|
||||
constexpr index_t C = 256;
|
||||
constexpr index_t HI = 20;
|
||||
constexpr index_t WI = 86;
|
||||
constexpr index_t K = 512;
|
||||
constexpr index_t Y = 5;
|
||||
constexpr index_t X = 5;
|
||||
|
||||
constexpr index_t HPad = 1;
|
||||
constexpr index_t WPad = 1;
|
||||
#elif 0
|
||||
// 5x5 filter, 28x28 image, 2x2 padding
|
||||
constexpr index_t N = 16;
|
||||
constexpr index_t C = 192;
|
||||
constexpr index_t HI = 28;
|
||||
constexpr index_t WI = 28;
|
||||
constexpr index_t K = 32;
|
||||
constexpr index_t Y = 5;
|
||||
constexpr index_t X = 5;
|
||||
|
||||
constexpr index_t HPad = 2;
|
||||
constexpr index_t WPad = 2;
|
||||
#elif 0
|
||||
// 3x3 filter, 14x14 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 256;
|
||||
constexpr index_t HI = 14;
|
||||
constexpr index_t WI = 14;
|
||||
constexpr index_t K = 128;
|
||||
constexpr index_t Y = 3;
|
||||
constexpr index_t X = 3;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 1x1 filter, 14x14 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 512;
|
||||
constexpr index_t HI = 14;
|
||||
constexpr index_t WI = 14;
|
||||
constexpr index_t K = 512;
|
||||
constexpr index_t Y = 1;
|
||||
constexpr index_t X = 1;
|
||||
|
||||
using ConvStrides = Sequence<1, 1>;
|
||||
using ConvDilations = Sequence<1, 1>;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 1x1 filter, 7x7 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 512;
|
||||
constexpr index_t HI = 7;
|
||||
constexpr index_t WI = 7;
|
||||
constexpr index_t K = 2048;
|
||||
constexpr index_t Y = 1;
|
||||
constexpr index_t X = 1;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 1x1 filter, 73x73 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 512;
|
||||
constexpr index_t HI = 73;
|
||||
constexpr index_t WI = 73;
|
||||
constexpr index_t K = 128;
|
||||
constexpr index_t Y = 1;
|
||||
constexpr index_t X = 1;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 1
|
||||
// 1x1 filter, 8x8 image
|
||||
// cudnn@V100 68%, ck@V100 72%, ck@P100 52%, ck@VII 42%
|
||||
constexpr index_t N = 64;
|
||||
@@ -532,7 +379,7 @@ int main(int argc, char* argv[])
|
||||
#elif 0
|
||||
device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw(
|
||||
(in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
|
||||
#elif 1
|
||||
#elif 0
|
||||
device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw(in_nchw_desc,
|
||||
in_nchw,
|
||||
wei_kcyx_desc,
|
||||
|
||||
Reference in New Issue
Block a user