mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-20 12:59:49 +00:00
Chao Liu
@@ -3,7 +3,6 @@
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#include "device.hpp"
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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_v4r1_nchw_kcyx_nkhw.hpp"
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#include "gridwise_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_lds_double_buffer.hpp"
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template <class T,
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@@ -20,7 +19,7 @@ void device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc,
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Tensor<T>& out_nkhw,
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ConvStrides,
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ConvDilations,
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index_t nrepeat)
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ck::index_t nrepeat)
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{
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using namespace ck;
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@@ -171,46 +170,42 @@ void device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc,
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printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
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constexpr auto gridwise_conv =
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#if 0
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GridwiseConvolutionImplicitGemm_v4r1_nchw_kcyx_nkhw
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#else
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GridwiseConvolutionImplicitGemm_v4r1_nchw_kcyx_nkhw_lds_double_buffer
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#endif
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<GridSize,
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BlockSize,
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T,
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decltype(in_nchw_desc),
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decltype(wei_kcyx_desc),
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decltype(out_nkhw_desc),
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ConvStrides,
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ConvDilations,
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BPerBlock,
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KPerBlock,
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EPerBlock,
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GemmNRepeat,
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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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InBlockCopySubLengths_E_N1_B_N2,
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InBlockCopyClusterLengths_E_N1_B_N2,
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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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WeiBlockCopySubLengths_E_K,
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WeiBlockCopyClusterLengths_E_K,
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WeiBlockCopyThreadClusterArrangeOrder,
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WeiBlockCopySrcAccessOrder,
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WeiBlockCopyDstAccessOrder,
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WeiBlockCopySrcDataPerRead_E,
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WeiBlockCopyDstDataPerWrite_K>{};
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GridwiseConvolutionImplicitGemm_v4r1_nchw_kcyx_nkhw_lds_double_buffer<
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GridSize,
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BlockSize,
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T,
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decltype(in_nchw_desc),
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decltype(wei_kcyx_desc),
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decltype(out_nkhw_desc),
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ConvStrides,
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ConvDilations,
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BPerBlock,
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KPerBlock,
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EPerBlock,
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GemmNRepeat,
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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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InBlockCopySubLengths_E_N1_B_N2,
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InBlockCopyClusterLengths_E_N1_B_N2,
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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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WeiBlockCopySubLengths_E_K,
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WeiBlockCopyClusterLengths_E_K,
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WeiBlockCopyThreadClusterArrangeOrder,
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WeiBlockCopySrcAccessOrder,
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WeiBlockCopyDstAccessOrder,
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WeiBlockCopySrcDataPerRead_E,
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WeiBlockCopyDstDataPerWrite_K>{};
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for(index_t i = 0; i < nrepeat; ++i)
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{
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@@ -3,7 +3,6 @@
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#include "device.hpp"
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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_v4r1_nchw_kcyx_nkhw_padded.hpp"
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#include "gridwise_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_padded_lds_double_buffer.hpp"
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template <typename T,
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@@ -24,7 +23,7 @@ void device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_padded(InDesc,
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ConvDilations,
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LeftPads,
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RightPads,
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index_t nrepeat)
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ck::index_t nrepeat)
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{
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using namespace ck;
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@@ -3,7 +3,6 @@
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#include "device.hpp"
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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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using namespace ck;
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@@ -22,7 +21,7 @@ void device_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw(InDesc,
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Tensor<T>& out_nkhw,
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ConvStrides,
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ConvDilations,
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index_t nrepeat)
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ck::index_t nrepeat)
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{
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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@@ -3,7 +3,6 @@
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#include "device.hpp"
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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_padded.hpp"
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#include "gridwise_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw_padded_lds_double_buffer.hpp"
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template <class T,
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@@ -24,7 +23,7 @@ void device_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw_padded(InDesc,
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ConvDilations,
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LeftPads,
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RightPads,
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index_t nrepeat)
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ck::index_t nrepeat)
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{
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using namespace ck;
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@@ -1,296 +0,0 @@
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#pragma once
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#include <unistd.h>
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#include "device.hpp"
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#include "tensor.hpp"
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#include "gridwise_implicit_gemm_convolution_1_chwn_cyxk_khwn_padded.hpp"
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using namespace ck;
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template <class T, class InDesc, class WeiDesc, class OutDesc, class LowerPads, class UpperPads>
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void device_implicit_gemm_convolution_1_chwn_cyxk_khwn_padded(InDesc,
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const Tensor<T>& in_nchw,
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WeiDesc,
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const Tensor<T>& wei_kcyx,
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OutDesc,
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Tensor<T>& out_nkhw,
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LowerPads,
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UpperPads,
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index_t nrepeat)
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{
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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constexpr auto I2 = Number<2>{};
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constexpr auto I3 = Number<3>{};
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constexpr auto in_nchw_desc = InDesc{};
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constexpr auto wei_kcyx_desc = WeiDesc{};
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constexpr auto out_nkhw_desc = OutDesc{};
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constexpr index_t Hi = in_nchw_desc.GetLength(I2);
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constexpr index_t Wi = in_nchw_desc.GetLength(I3);
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constexpr index_t N = out_nkhw_desc.GetLength(I0);
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constexpr index_t Ho = out_nkhw_desc.GetLength(I2);
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constexpr index_t Wo = out_nkhw_desc.GetLength(I3);
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constexpr index_t K = wei_kcyx_desc.GetLength(I0);
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constexpr index_t C = wei_kcyx_desc.GetLength(I1);
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constexpr index_t Y = wei_kcyx_desc.GetLength(I2);
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constexpr index_t X = wei_kcyx_desc.GetLength(I3);
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// reorder weight
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auto wei_cyxk_desc = make_ConstantTensorDescriptor(Sequence<C, Y, X, K>{});
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ostream_ConstantTensorDescriptor(wei_cyxk_desc, std::cout << "wei_cyxk_desc: ");
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Tensor<T> wei_cyxk(make_TensorDescriptor(wei_cyxk_desc));
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auto f_reorder_kcyx2cyxk = [&](auto k, auto c, auto y, auto x) {
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wei_cyxk(c, y, x, k) = wei_kcyx(k, c, y, x);
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};
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make_ParallelTensorFunctor(f_reorder_kcyx2cyxk, K, C, Y, X)(
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std::thread::hardware_concurrency());
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// reorder input
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auto in_chwn_desc = make_ConstantTensorDescriptor(Sequence<C, Hi, Wi, N>{});
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ostream_ConstantTensorDescriptor(in_chwn_desc, std::cout << "in_chwn_desc: ");
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Tensor<T> in_chwn(make_TensorDescriptor(in_chwn_desc));
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auto f_reorder_nchw2chwn = [&](auto n, auto c, auto hi, auto wi) {
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in_chwn(c, hi, wi, n) = in_nchw(n, c, hi, wi);
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};
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make_ParallelTensorFunctor(f_reorder_nchw2chwn, N, C, Hi, Wi)(
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std::thread::hardware_concurrency());
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// output
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auto out_khwn_desc = make_ConstantTensorDescriptor(Sequence<K, Ho, Wo, N>{});
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ostream_ConstantTensorDescriptor(out_khwn_desc, std::cout << "out_khwn_desc: ");
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Tensor<T> out_khwn(make_TensorDescriptor(out_khwn_desc));
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std::size_t data_sz = sizeof(T);
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DeviceMem in_chwn_device_buf(data_sz * in_chwn.mDesc.GetElementSpace());
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DeviceMem wei_cyxk_device_buf(data_sz * wei_cyxk.mDesc.GetElementSpace());
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DeviceMem out_khwn_device_buf(data_sz * out_khwn.mDesc.GetElementSpace());
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in_chwn_device_buf.ToDevice(in_chwn.mData.data());
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wei_cyxk_device_buf.ToDevice(wei_cyxk.mData.data());
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out_khwn_device_buf.ToDevice(out_khwn.mData.data());
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#if 0
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constexpr index_t NPerBlock = 1;
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constexpr index_t KPerBlock = 1;
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constexpr index_t CPerBlock = 1;
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constexpr index_t HoPerBlock = 2;
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constexpr index_t WoPerBlock = 4;
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constexpr index_t NPerThread = 1;
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constexpr index_t KPerThread = 1;
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t WeiBlockCopyThreadPerDim0 = 1;
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constexpr index_t WeiBlockCopyThreadPerDim1 = 1;
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constexpr index_t BlockSize = 8;
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#elif 1
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// for 3x3, 34x34 | 3x3 58x58, NKC = 64, 64, 256
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constexpr index_t NPerBlock = 16;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 4;
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constexpr index_t HoPerBlock = 2;
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constexpr index_t WoPerBlock = 4;
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 16;
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t WeiBlockCopyThreadPerDim0 = 4;
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constexpr index_t WeiBlockCopyThreadPerDim1 = 32;
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constexpr index_t BlockSize = 128;
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#elif 0
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// 3x3 58x58, NKC = 16,256,128
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constexpr index_t NPerBlock = 8;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 2;
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constexpr index_t HoPerBlock = 4;
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constexpr index_t WoPerBlock = 4;
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 16;
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t BlockSize = 128;
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#elif 0
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// for 5x5, 36x36
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constexpr index_t NPerBlock = 16;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 2;
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constexpr index_t HoPerBlock = 2;
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constexpr index_t WoPerBlock = 4;
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 16;
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t BlockSize = 128;
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#elif 0
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// for 7x7, 38x38
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constexpr index_t NPerBlock = 8;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 2;
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constexpr index_t HoPerBlock = 4;
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constexpr index_t WoPerBlock = 4;
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|
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 16;
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t BlockSize = 128;
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#elif 0
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// for 3x3, 56x56
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constexpr index_t NPerBlock = 32;
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constexpr index_t KPerBlock = 64;
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constexpr index_t CPerBlock = 4;
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constexpr index_t HoPerBlock = 2;
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constexpr index_t WoPerBlock = 2;
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constexpr index_t NPerThread = 4;
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constexpr index_t KPerThread = 16;
|
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constexpr index_t CPerThread = 1;
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constexpr index_t HoPerThread = 1;
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constexpr index_t WoPerThread = 1;
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constexpr index_t BlockSize = 128;
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#elif 1
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// 3x3 56x56, NKC = 16,256,128, with padding
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// 3x3 28x28, NKC = 16,512,256, with padding
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// 3x3 20x84, NKC = 16,256,256, with padding
|
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constexpr index_t NPerBlock = 16;
|
||||
constexpr index_t KPerBlock = 64;
|
||||
constexpr index_t CPerBlock = 2;
|
||||
constexpr index_t HoPerBlock = 2;
|
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constexpr index_t WoPerBlock = 4;
|
||||
|
||||
constexpr index_t NPerThread = 4;
|
||||
constexpr index_t KPerThread = 16;
|
||||
constexpr index_t CPerThread = 1;
|
||||
constexpr index_t HoPerThread = 1;
|
||||
constexpr index_t WoPerThread = 1;
|
||||
|
||||
constexpr index_t WeiBlockCopyThreadPerDim0 = 2;
|
||||
constexpr index_t WeiBlockCopyThreadPerDim1 = 64;
|
||||
|
||||
constexpr index_t BlockSize = 128;
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||||
#elif 0
|
||||
// for 5x5 filter, 20x84 image, 1x1 padding
|
||||
constexpr index_t NPerBlock = 16;
|
||||
constexpr index_t KPerBlock = 64;
|
||||
constexpr index_t CPerBlock = 1;
|
||||
constexpr index_t HoPerBlock = 2;
|
||||
constexpr index_t WoPerBlock = 4;
|
||||
|
||||
constexpr index_t NPerThread = 4;
|
||||
constexpr index_t KPerThread = 16;
|
||||
constexpr index_t CPerThread = 1;
|
||||
constexpr index_t HoPerThread = 1;
|
||||
constexpr index_t WoPerThread = 1;
|
||||
|
||||
constexpr index_t BlockSize = 128;
|
||||
#elif 0
|
||||
// 5x5 filter, 28x28 image, 2x2 padding
|
||||
constexpr index_t NPerBlock = 16;
|
||||
constexpr index_t KPerBlock = 32;
|
||||
constexpr index_t CPerBlock = 2;
|
||||
constexpr index_t HoPerBlock = 4;
|
||||
constexpr index_t WoPerBlock = 4;
|
||||
|
||||
constexpr index_t NPerThread = 4;
|
||||
constexpr index_t KPerThread = 16;
|
||||
constexpr index_t CPerThread = 1;
|
||||
constexpr index_t HoPerThread = 1;
|
||||
constexpr index_t WoPerThread = 1;
|
||||
|
||||
constexpr index_t BlockSize = 128;
|
||||
#elif 0
|
||||
// for 1x1, 28x28
|
||||
constexpr index_t NPerBlock = 16;
|
||||
constexpr index_t KPerBlock = 128;
|
||||
constexpr index_t CPerBlock = 8;
|
||||
constexpr index_t HoPerBlock = 2;
|
||||
constexpr index_t WoPerBlock = 2;
|
||||
|
||||
constexpr index_t NPerThread = 4;
|
||||
constexpr index_t KPerThread = 16;
|
||||
constexpr index_t CPerThread = 2;
|
||||
constexpr index_t HoPerThread = 1;
|
||||
constexpr index_t WoPerThread = 1;
|
||||
|
||||
constexpr index_t WeiBlockCopyThreadPerDim0 = 4;
|
||||
constexpr index_t WeiBlockCopyThreadPerDim1 = 32;
|
||||
|
||||
constexpr index_t BlockSize = 128;
|
||||
#endif
|
||||
|
||||
constexpr index_t GridSize =
|
||||
((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
|
||||
((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);
|
||||
|
||||
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
|
||||
|
||||
for(index_t i = 0; i < nrepeat; ++i)
|
||||
{
|
||||
float time = launch_kernel(
|
||||
gridwise_implicit_gemm_convolution_1_chwn_cyxk_khwn_padded<GridSize,
|
||||
BlockSize,
|
||||
T,
|
||||
decltype(in_chwn_desc),
|
||||
decltype(wei_cyxk_desc),
|
||||
decltype(out_khwn_desc),
|
||||
LowerPads,
|
||||
UpperPads,
|
||||
NPerBlock,
|
||||
KPerBlock,
|
||||
CPerBlock,
|
||||
HoPerBlock,
|
||||
WoPerBlock,
|
||||
NPerThread,
|
||||
KPerThread,
|
||||
CPerThread,
|
||||
HoPerThread,
|
||||
WoPerThread,
|
||||
WeiBlockCopyThreadPerDim0,
|
||||
WeiBlockCopyThreadPerDim1>,
|
||||
dim3(GridSize),
|
||||
dim3(BlockSize),
|
||||
|
||||
static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
|
||||
static_cast<T*>(wei_cyxk_device_buf.GetDeviceBuffer()),
|
||||
static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer()));
|
||||
|
||||
printf("Elapsed time : %f ms\n", time);
|
||||
usleep(std::min(time * 1000, float(10000)));
|
||||
}
|
||||
|
||||
out_khwn_device_buf.FromDevice(out_khwn.mData.data());
|
||||
|
||||
// reorder output
|
||||
auto f_reorder_khwn2nkhw = [&](auto k, auto ho, auto wo, auto n) {
|
||||
out_nkhw(n, k, ho, wo) = out_khwn(k, ho, wo, n);
|
||||
};
|
||||
|
||||
make_ParallelTensorFunctor(f_reorder_khwn2nkhw, K, Ho, Wo, N)(
|
||||
std::thread::hardware_concurrency());
|
||||
}
|
||||
@@ -8,7 +8,7 @@
|
||||
#include "device.hpp"
|
||||
#include "conv_common.hpp"
|
||||
#include "host_conv.hpp"
|
||||
#include "device_convolution_direct_v2_nchw_kcyx_nkhw.hpp"
|
||||
//#include "device_convolution_direct_v2_nchw_kcyx_nkhw.hpp"
|
||||
//#include "device_convolution_implicit_gemm_v1_chwn_cyxk_khwn.hpp"
|
||||
//#include "device_convolution_implicit_gemm_v1_chwn_cyxk_khwn_padded.hpp"
|
||||
//#include "device_convolution_implicit_gemm_v1_nchw_cyxk_nkhw.hpp"
|
||||
@@ -448,7 +448,7 @@ int main(int argc, char* argv[])
|
||||
ConvStrides{},
|
||||
ConvDilations{},
|
||||
nrepeat);
|
||||
#elif 1
|
||||
#elif 0
|
||||
device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw_padded(in_nchw_desc,
|
||||
in_nchw,
|
||||
wei_kcyx_desc,
|
||||
@@ -490,7 +490,7 @@ int main(int argc, char* argv[])
|
||||
ConvStrides{},
|
||||
ConvDilations{},
|
||||
nrepeat);
|
||||
#elif 0
|
||||
#elif 1
|
||||
device_convolution_implicit_gemm_v4r4_nchw_kcyx_nkhw_padded(in_nchw_desc,
|
||||
in_nchw,
|
||||
wei_kcyx_desc,
|
||||
|
||||
Reference in New Issue
Block a user