mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 17:00:18 +00:00
adding implcit GEMM v4r2
This commit is contained in:
Chao Liu
@@ -53,18 +53,27 @@ void device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw(InDesc,
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wei_kcyx_device_buf.ToDevice(wei_kcyx.mData.data());
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out_nkhw_device_buf.ToDevice(out_nkhw.mData.data());
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constexpr index_t N1 = 2;
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constexpr index_t N2 = 4;
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constexpr index_t B = (N * Ho * Wo) / (N1 * N2);
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#if 1
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// 1x1 filter, 8x8 image
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constexpr index_t N1 = 2;
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constexpr index_t N2 = 1;
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constexpr index_t Ho1 = 8;
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constexpr index_t Ho2 = 1;
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constexpr index_t Wo1 = 1;
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constexpr index_t Wo2 = 4;
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constexpr index_t BlockSize = 256;
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constexpr index_t BPerBlock = 16;
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constexpr index_t KPerBlock = 128;
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constexpr index_t EPerBlock = 8;
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constexpr index_t N0PerBlock = 1;
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constexpr index_t Ho0PerBlock = 1;
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constexpr index_t Wo0PerBlock = 2;
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constexpr index_t GemmMPerThreadSubC = 4;
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constexpr index_t GemmNPerThreadSubC = 4;
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constexpr index_t GemmMLevel0Cluster = 4;
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@@ -75,14 +84,16 @@ void device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw(InDesc,
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constexpr index_t GemmDataPerReadA = 4;
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constexpr index_t GemmDataPerReadB = 4;
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using InBlockCopySubLengths_E_N1_B_N2 = Sequence<1, 1, 1, 4>;
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using InBlockCopyClusterLengths_E_N1_B_N2 = Sequence<8, 2, 16, 1>;
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using InBlockCopyThreadClusterArrangeOrder = Sequence<0, 1, 3, 2>; // [E, N1, N2, B]
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using InBlockCopySrcAccessOrder = Sequence<0, 1, 3, 2>; // [E, N1, N2, B]
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using InBlockCopyDstAccessOrder = Sequence<0, 1, 2, 3>; // [E, N1, B, N2]
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using InBlockCopySubLengths_E_N0_Ho0_Wo0_B_N2_Ho2_Wo2 = Sequence<1, 1, 1, 1, 1, 1, 1, 4>;
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using InBlockCopyClusterLengths_E_N0_Ho0_Wo0_B_N2_Ho2_Wo2 = Sequence<8, 1, 1, 2, 16, 1, 1, 1>;
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using InBlockCopyThreadClusterArrangeOrder =
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Sequence<0, 1, 5, 2, 6, 3, 4, 7>; // [E, N0, N2, Ho0, Ho2, Wo0, B, Wo2]
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using InBlockCopySrcAccessOrder =
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Sequence<0, 1, 5, 2, 6, 3, 4, 7>; // [E, N0, N2, Ho0, Ho2, Wo0, B, Wo2]
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using InBlockCopyDstAccessOrder =
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Sequence<0, 1, 2, 3, 4, 5, 6, 7>; // [E, N0, Ho0, Wo0, B, N2, Ho2, Wo2]
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constexpr index_t InBlockCopySrcDataPerRead_B = 1;
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constexpr index_t InBlockCopyDstDataPerWrite_N2 = 4;
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constexpr index_t InBlockCopyDataPerAccess_W2 = 4;
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using WeiBlockCopySubLengths_E_K = Sequence<4, 1>;
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using WeiBlockCopyClusterLengths_E_K = Sequence<2, 128>;
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@@ -94,6 +105,8 @@ void device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw(InDesc,
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constexpr index_t WeiBlockCopyDstDataPerWrite_K = 1;
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#endif
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constexpr index_t B = N1 * Ho1 * Wo1;
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constexpr index_t GridSize =
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((B + BPerBlock - 1) / BPerBlock) * ((K + KPerBlock - 1) / KPerBlock);
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@@ -111,11 +124,18 @@ void device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw(InDesc,
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decltype(out_nkhw_desc),
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ConvStrides,
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ConvDilations,
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N1,
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N2,
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Ho1,
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Ho2,
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Wo1,
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Wo2,
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BPerBlock,
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KPerBlock,
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EPerBlock,
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N1,
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N2,
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N0PerBlock,
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Ho0PerBlock,
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Wo0PerBlock,
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GemmMPerThreadSubC,
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GemmNPerThreadSubC,
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GemmMLevel0Cluster,
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@@ -125,13 +145,12 @@ void device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw(InDesc,
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GemmKPerThreadLoop,
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GemmDataPerReadA,
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GemmDataPerReadB,
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InBlockCopySubLengths_E_N1_B_N2,
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InBlockCopyClusterLengths_E_N1_B_N2,
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InBlockCopySubLengths_E_N0_Ho0_Wo0_B_N2_Ho2_Wo2,
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InBlockCopyClusterLengths_E_N0_Ho0_Wo0_B_N2_Ho2_Wo2,
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InBlockCopyThreadClusterArrangeOrder,
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InBlockCopySrcAccessOrder,
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InBlockCopyDstAccessOrder,
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InBlockCopySrcDataPerRead_B,
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InBlockCopyDstDataPerWrite_N2,
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InBlockCopyDataPerAccess_W2,
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WeiBlockCopySubLengths_E_K,
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WeiBlockCopyClusterLengths_E_K,
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WeiBlockCopyThreadClusterArrangeOrder,
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@@ -14,7 +14,7 @@
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#include "device_convolution_implicit_gemm_v2_chwn_cyxk_khwn.hpp"
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#include "device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw.hpp"
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#include "device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw.hpp"
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//#include "device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw.hpp"
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#include "device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw.hpp"
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struct GeneratorTensor_1
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{
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@@ -524,19 +524,29 @@ int main(int argc, char* argv[])
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#elif 0
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device_convolution_implicit_gemm_v2_chwn_cyxk_khwn
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in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
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#elif 1
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#elif 0
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device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw(
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in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
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#elif 0
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device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw(in_nchw_desc,
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in_nchw,
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wei_kcyx_desc,
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wei_kcyx,
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out_nkhw_desc,
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out_nkhw_device,
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ConvStrides{},
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ConvDilations{},
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nrepeat);
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device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw(in_nchw_desc,
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in_nchw,
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wei_kcyx_desc,
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wei_kcyx,
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out_nkhw_desc,
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out_nkhw_device,
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ConvStrides{},
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ConvDilations{},
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nrepeat);
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#elif 1
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device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw(in_nchw_desc,
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in_nchw,
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wei_kcyx_desc,
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wei_kcyx,
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out_nkhw_desc,
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out_nkhw_device,
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ConvStrides{},
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ConvDilations{},
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nrepeat);
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#elif 0
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device_implicit_gemm_convolution_1_chwn_cyxk_khwn_padded(in_nchw_desc,
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in_nchw,
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@@ -1,580 +0,0 @@
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#include <iostream>
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#include <numeric>
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#include <initializer_list>
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#include <cstdlib>
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#include <stdlib.h>
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#include "config.hpp"
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#include "ConstantTensorDescriptor.hpp"
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#include "device.hpp"
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#include "conv_common.hpp"
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#include "host_conv.hpp"
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#include "device_convolution_direct_v2_nchw_kcyx_nkhw.hpp"
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#include "device_convolution_implicit_gemm_v1_chwn_cyxk_khwn.hpp"
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#include "device_convolution_implicit_gemm_v1_nchw_cyxk_nkhw.hpp"
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#include "device_convolution_implicit_gemm_v2_chwn_cyxk_khwn.hpp"
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#include "device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw.hpp"
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#include "device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw.hpp"
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//#include "device_convolution_implicit_gemm_v4r2_nchw_kcyx_nkhw.hpp"
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struct GeneratorTensor_1
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{
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template <class... Is>
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double operator()(Is... is)
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{
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return 1;
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}
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};
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struct GeneratorTensor_2
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{
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int min_value = 0;
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int max_value = 1;
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template <class... Is>
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double operator()(Is...)
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{
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return (std::rand() % (max_value - min_value)) + min_value;
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}
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};
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struct GeneratorTensor_3
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{
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template <class... Is>
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double operator()(Is... is)
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{
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std::array<index_t, sizeof...(Is)> dims = {{static_cast<index_t>(is)...}};
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auto f_acc = [](auto a, auto b) { return 100 * a + b; };
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return std::accumulate(dims.begin(), dims.end(), index_t(0), f_acc);
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}
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};
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struct GeneratorTensor_Checkboard
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{
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template <class... Ts>
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double operator()(Ts... Xs) const
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{
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std::array<index_t, sizeof...(Ts)> dims = {{Xs...}};
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return std::accumulate(dims.begin(),
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dims.end(),
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true,
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[](bool init, index_t x) -> int { return init != (x % 2); })
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? 1
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: -1;
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}
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};
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int main(int argc, char* argv[])
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{
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using namespace ck;
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#if 0
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constexpr index_t N = 8;
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constexpr index_t C = 16;
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constexpr index_t HI = 3;
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constexpr index_t WI = 18;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 3x3, 34x34
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constexpr index_t N = 128;
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constexpr index_t C = 256;
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constexpr index_t HI = 34;
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constexpr index_t WI = 34;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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using ConvStrides = Sequence<2, 2>;
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using ConvDilations = Sequence<1, 1>;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 3x3, 56x56
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constexpr index_t N = 64;
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constexpr index_t C = 64;
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constexpr index_t HI = 56;
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constexpr index_t WI = 56;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 3x3 filter, 28x28 image
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constexpr index_t N = 128;
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constexpr index_t C = 256;
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constexpr index_t HI = 28;
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constexpr index_t WI = 28;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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using ConvStrides = Sequence<1, 1>;
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using ConvDilations = Sequence<1, 1>;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 1x1 filter, 28x28 image
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constexpr index_t N = 128;
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constexpr index_t C = 512;
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constexpr index_t HI = 28;
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constexpr index_t WI = 28;
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constexpr index_t K = 512;
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constexpr index_t Y = 1;
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constexpr index_t X = 1;
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using ConvStrides = Sequence<1, 1>;
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using ConvDilations = Sequence<1, 1>;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 3x3 filter, 20x84 image, 1x1 padding
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constexpr index_t N = 16;
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constexpr index_t C = 256;
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constexpr index_t HI = 20;
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constexpr index_t WI = 84;
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constexpr index_t K = 256;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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constexpr index_t HPad = 1;
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constexpr index_t WPad = 1;
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#elif 0
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// 3x3 filter, 112x112 image, 1x1 padding
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constexpr index_t N = 16;
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constexpr index_t C = 64;
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constexpr index_t HI = 112;
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constexpr index_t WI = 112;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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constexpr index_t HPad = 1;
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constexpr index_t WPad = 1;
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#elif 0
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// 5x5 filter, 20x86 image
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constexpr index_t N = 16;
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constexpr index_t C = 256;
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constexpr index_t HI = 20;
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constexpr index_t WI = 86;
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constexpr index_t K = 512;
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constexpr index_t Y = 5;
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constexpr index_t X = 5;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 5x5 filter, 20x86 image, 1x1 padding
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constexpr index_t N = 16;
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constexpr index_t C = 256;
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constexpr index_t HI = 20;
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constexpr index_t WI = 86;
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constexpr index_t K = 512;
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constexpr index_t Y = 5;
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constexpr index_t X = 5;
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constexpr index_t HPad = 1;
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constexpr index_t WPad = 1;
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#elif 0
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// 5x5 filter, 28x28 image, 2x2 padding
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constexpr index_t N = 16;
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constexpr index_t C = 192;
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constexpr index_t HI = 28;
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constexpr index_t WI = 28;
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constexpr index_t K = 32;
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constexpr index_t Y = 5;
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constexpr index_t X = 5;
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constexpr index_t HPad = 2;
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constexpr index_t WPad = 2;
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#elif 0
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// 3x3 filter, 14x14 image
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constexpr index_t N = 128;
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constexpr index_t C = 256;
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constexpr index_t HI = 14;
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constexpr index_t WI = 14;
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constexpr index_t K = 128;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 1x1 filter, 14x14 image
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constexpr index_t N = 128;
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constexpr index_t C = 512;
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constexpr index_t HI = 14;
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constexpr index_t WI = 14;
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constexpr index_t K = 512;
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constexpr index_t Y = 1;
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constexpr index_t X = 1;
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using ConvStrides = Sequence<1, 1>;
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using ConvDilations = Sequence<1, 1>;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 1x1 filter, 7x7 image
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constexpr index_t N = 128;
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constexpr index_t C = 512;
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constexpr index_t HI = 7;
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constexpr index_t WI = 7;
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constexpr index_t K = 2048;
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constexpr index_t Y = 1;
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constexpr index_t X = 1;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 1x1 filter, 73x73 image
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constexpr index_t N = 128;
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constexpr index_t C = 512;
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constexpr index_t HI = 73;
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constexpr index_t WI = 73;
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constexpr index_t K = 128;
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constexpr index_t Y = 1;
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constexpr index_t X = 1;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 0
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// 1x1 filter, 8x8 image
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// cudnn@V100 68%, ck@V100 72%, ck@P100 52%, ck@VII 42%
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constexpr index_t N = 64;
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constexpr index_t C = 1536;
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constexpr index_t HI = 8;
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constexpr index_t WI = 8;
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constexpr index_t K = 256;
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constexpr index_t Y = 1;
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constexpr index_t X = 1;
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using ConvStrides = Sequence<1, 1>;
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using ConvDilations = Sequence<1, 1>;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 1
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// 1x1 filter, 8x8 image
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// cudnn@V100 77%, ck@V100 76%, ck@P100 79%, ck@VII 51%
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constexpr index_t N = 128;
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constexpr index_t C = 2048;
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constexpr index_t HI = 8;
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constexpr index_t WI = 8;
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constexpr index_t K = 384;
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constexpr index_t Y = 1;
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constexpr index_t X = 1;
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||||
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
|
||||
// cudnn@V100 82%, ck@V100 76%, ck@P100 67%, ck@VII 64%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 832;
|
||||
constexpr index_t HI = 7;
|
||||
constexpr index_t WI = 7;
|
||||
constexpr index_t K = 384;
|
||||
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, 8x8 image
|
||||
// cudnn@V100 83%, ck@V100 75%, ck@P100 78%, ck@VII 65%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 1280;
|
||||
constexpr index_t HI = 8;
|
||||
constexpr index_t WI = 8;
|
||||
constexpr index_t K = 384;
|
||||
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, 14x14 image
|
||||
// cudnn@V100 62%, ck@V100 68%, ck@P100 70%, ck@VII 50%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 512;
|
||||
constexpr index_t HI = 14;
|
||||
constexpr index_t WI = 14;
|
||||
constexpr index_t K = 128;
|
||||
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, 8x8 image
|
||||
// cudnn@V100 74%, ck@V100 57%, ck@P100 78%, ck@VII 61%
|
||||
constexpr index_t N = 64;
|
||||
constexpr index_t C = 1536;
|
||||
constexpr index_t HI = 8;
|
||||
constexpr index_t WI = 8;
|
||||
constexpr index_t K = 384;
|
||||
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, 28x28 image
|
||||
// cudnn@V100 86%, ck@V100 84%, ck@P100 80%, ck@VII 69%
|
||||
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 = 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
|
||||
// cudnn@V100 71%, ck@V100 55%, ck@P100 70%, ck@VII 62%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 832;
|
||||
constexpr index_t HI = 7;
|
||||
constexpr index_t WI = 7;
|
||||
constexpr index_t K = 256;
|
||||
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, 2x2 stride, 35x35 input, 17x17 output
|
||||
// cudnn@V100 90%, ck@V100 93%, ck@P100 83%, ck@VII 81%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 288;
|
||||
constexpr index_t HI = 35;
|
||||
constexpr index_t WI = 35;
|
||||
constexpr index_t K = 384;
|
||||
constexpr index_t Y = 3;
|
||||
constexpr index_t X = 3;
|
||||
|
||||
using ConvStrides = Sequence<2, 2>;
|
||||
using ConvDilations = Sequence<1, 1>;
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
// 1x1 filter, 17x17 input
|
||||
// cudnn@V100 81%, ck@V100 76%, ck@P100 70%, ck@VII 76%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 768;
|
||||
constexpr index_t HI = 17;
|
||||
constexpr index_t WI = 17;
|
||||
constexpr index_t K = 128;
|
||||
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, 14x14 image
|
||||
// cudnn@V100 73%, ck@V100 71%, ck@P100 70%, ck@VII 64%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 528;
|
||||
constexpr index_t HI = 14;
|
||||
constexpr index_t WI = 14;
|
||||
constexpr index_t K = 128;
|
||||
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, 14x14 image
|
||||
// cudnn@V100 73%, ck@V100 72%, ck@P100 79%, ck@VII 75%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 528;
|
||||
constexpr index_t HI = 14;
|
||||
constexpr index_t WI = 14;
|
||||
constexpr index_t K = 256;
|
||||
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
|
||||
// cudnn@V100 49%, ck@V100 50%, ck@P100 61%, ck@VII 52%
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 832;
|
||||
constexpr index_t HI = 7;
|
||||
constexpr index_t WI = 7;
|
||||
constexpr index_t K = 128;
|
||||
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;
|
||||
#endif
|
||||
|
||||
auto lower_pads = Sequence<HPad, WPad>{};
|
||||
auto upper_pads = Sequence<HPad, WPad>{};
|
||||
|
||||
auto in_nchw_desc = make_ConstantTensorDescriptor_packed(Sequence<N, C, HI, WI>{});
|
||||
auto wei_kcyx_desc = make_ConstantTensorDescriptor_packed(Sequence<K, C, Y, X>{});
|
||||
auto out_nkhw_desc = get_convolution_with_padding_output_default_4d_tensor_descriptor(
|
||||
in_nchw_desc, wei_kcyx_desc, ConvStrides{}, ConvDilations{}, lower_pads, upper_pads);
|
||||
|
||||
ostream_ConstantTensorDescriptor(in_nchw_desc, std::cout << "in_nchw_desc: ");
|
||||
ostream_ConstantTensorDescriptor(wei_kcyx_desc, std::cout << "wei_kcyx_desc: ");
|
||||
ostream_ConstantTensorDescriptor(out_nkhw_desc, std::cout << "out_nkhw_desc: ");
|
||||
|
||||
using in_data_t = float;
|
||||
using out_data_t = float;
|
||||
Tensor<in_data_t> in_nchw(make_TensorDescriptor(in_nchw_desc));
|
||||
Tensor<in_data_t> wei_kcyx(make_TensorDescriptor(wei_kcyx_desc));
|
||||
Tensor<out_data_t> out_nkhw_host(make_TensorDescriptor(out_nkhw_desc));
|
||||
Tensor<out_data_t> out_nkhw_device(make_TensorDescriptor(out_nkhw_desc));
|
||||
|
||||
std::size_t num_thread = std::thread::hardware_concurrency();
|
||||
|
||||
if(argc != 3)
|
||||
{
|
||||
printf("arg1: do_verification, arg2: nrepeat\n");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
bool do_verification = atoi(argv[1]);
|
||||
index_t nrepeat = atoi(argv[2]);
|
||||
|
||||
if(do_verification)
|
||||
{
|
||||
#if 0
|
||||
in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
|
||||
wei_kcyx.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
|
||||
#elif 0
|
||||
in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
|
||||
wei_kcyx.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
|
||||
#elif 0
|
||||
in_nchw.GenerateTensorValue(GeneratorTensor_3{}, num_thread);
|
||||
wei_kcyx.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
|
||||
#elif 1
|
||||
in_nchw.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
|
||||
wei_kcyx.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
|
||||
#elif 0
|
||||
in_nchw.GenerateTensorValue(GeneratorTensor_2{1, 5}, num_thread);
|
||||
|
||||
auto gen_wei = [](auto... is) {
|
||||
return GeneratorTensor_2{1, 5}(is...) * GeneratorTensor_Checkboard{}(is...);
|
||||
};
|
||||
wei_kcyx.GenerateTensorValue(gen_wei, num_thread);
|
||||
#endif
|
||||
}
|
||||
|
||||
#if 0
|
||||
device_convolution_direct_v2_nchw_kcyx_nkhw
|
||||
in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
|
||||
#elif 0
|
||||
device_convolution_implicit_gemm_v1_chwn_cyxk_khwn
|
||||
in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
|
||||
#elif 0
|
||||
device_convolution_implicit_gemm_v1_nchw_cyxk_nkhw
|
||||
in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
|
||||
#elif 0
|
||||
device_convolution_implicit_gemm_v2_chwn_cyxk_khwn
|
||||
in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
|
||||
#elif 1
|
||||
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 0
|
||||
device_convolution_implicit_gemm_v4_nchw_kcyx_nkhw(in_nchw_desc,
|
||||
in_nchw,
|
||||
wei_kcyx_desc,
|
||||
wei_kcyx,
|
||||
out_nkhw_desc,
|
||||
out_nkhw_device,
|
||||
ConvStrides{},
|
||||
ConvDilations{},
|
||||
nrepeat);
|
||||
#elif 0
|
||||
device_implicit_gemm_convolution_1_chwn_cyxk_khwn_padded(in_nchw_desc,
|
||||
in_nchw,
|
||||
wei_kcyx_desc,
|
||||
wei_kcyx,
|
||||
out_nkhw_desc,
|
||||
out_nkhw_device,
|
||||
lower_pads,
|
||||
upper_pads,
|
||||
nrepeat);
|
||||
#endif
|
||||
|
||||
if(do_verification)
|
||||
{
|
||||
#if 1
|
||||
if(Y == 3 && X == 3 && ConvStrides{}[0] == 1 && ConvStrides{}[1] == 1 &&
|
||||
ConvDilations{}[0] == 1 && ConvDilations{}[1] == 1)
|
||||
{
|
||||
host_winograd_3x3_convolution(in_nchw, wei_kcyx, out_nkhw_host, lower_pads, upper_pads);
|
||||
}
|
||||
else
|
||||
#endif
|
||||
{
|
||||
host_direct_convolution(in_nchw,
|
||||
wei_kcyx,
|
||||
out_nkhw_host,
|
||||
ConvStrides{},
|
||||
ConvDilations{},
|
||||
lower_pads,
|
||||
upper_pads);
|
||||
}
|
||||
check_error(out_nkhw_host, out_nkhw_device);
|
||||
|
||||
#if 0
|
||||
LogRange(std::cout << "in_nchw : ", in_nchw.mData, ",") << std::endl;
|
||||
LogRange(std::cout << "wei_kcyx: ", wei_kcyx.mData, ",") << std::endl;
|
||||
LogRange(std::cout << "out_nkhw_host : ", out_nkhw_host.mData, ",") << std::endl;
|
||||
LogRange(std::cout << "out_nkhw_device: ", out_nkhw_device.mData, ",") << std::endl;
|
||||
#endif
|
||||
}
|
||||
}
|
||||
1
driver/src/driver.cu
Symbolic link
1
driver/src/driver.cu
Symbolic link
@@ -0,0 +1 @@
|
||||
driver.cpp
|
||||
Reference in New Issue
Block a user