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https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 17:00:18 +00:00
adding implicit gemm v3
This commit is contained in:
Chao Liu
148
driver/device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw.hpp
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148
driver/device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw.hpp
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@@ -0,0 +1,148 @@
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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 "gridwise_convolution_wrapper.hip.hpp"
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#include "gridwise_convolution_implicit_gemm_v3_nchw_cyxk_nkhw.hip.hpp"
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template <class T, class InDesc, class WeiDesc, class OutDesc>
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void device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw(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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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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std::size_t data_sz = sizeof(T);
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DeviceMem in_nchw_device_buf(data_sz * in_nchw.mDesc.GetElementSpace());
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DeviceMem wei_cyxk_device_buf(data_sz * wei_cyxk.mDesc.GetElementSpace());
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DeviceMem out_nkhw_device_buf(data_sz * out_nkhw.mDesc.GetElementSpace());
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in_nchw_device_buf.ToDevice(in_nchw.mData.data());
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wei_cyxk_device_buf.ToDevice(wei_cyxk.mData.data());
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out_nkhw_device_buf.ToDevice(out_nkhw.mData.data());
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#if 1
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// for 3x3, 28x28, v3, Pascal
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constexpr index_t BlockSize = 128;
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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 CPerBlock = 8;
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constexpr index_t BPerThread = 1;
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constexpr index_t KPerThread = 8;
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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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constexpr index_t GemmNLevel0Cluster = 2;
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constexpr index_t GemmMLevel1Cluster = 4;
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constexpr index_t GemmNLevel1Cluster = 2;
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constexpr index_t GemmKPerThreadLoop = 1;
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constexpr index_t GemmDataPerReadA = 4;
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constexpr index_t GemmDataPerReadB = 4;
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using InBlockReorderSrcSubLengths_NCHW = Sequence<4, 1, 1, 1>;
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using InBlockReorderSrcClusterLengths_NCHW = Sequence<4, 8, 2, 2>;
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using InBlockReorderMapThreadCluster2SrcCluster_CHNW2NCHW = Sequence<1, 2, 0, 3>;
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constexpr index_t WeiBlockCopyDataPerRead_K = 4;
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#endif
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constexpr index_t GridSize =
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((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
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((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);
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printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
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for(index_t i = 0; i < nrepeat; ++i)
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{
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constexpr auto gridwise_conv =
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#if 1
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GridwiseConvolutionImplicitGemm_v3_nchw_cyxk_nkhw
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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_cyxk_desc),
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decltype(out_nkhw_desc),
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NPerBlock,
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KPerBlock,
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CPerBlock,
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HoPerBlock,
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WoPerBlock,
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NPerThread,
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KPerThread,
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HoPerThread,
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WoPerThread,
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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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InBlockReorderSrcSubLengths_NCHW,
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InBlockReorderSrcClusterLengths_NCHW,
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InBlockReorderMapThreadCluster2SrcCluster_CHNW2NCHW,
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InBlockReorderDataPerRead_W,
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InBlockReorderDataPerWrite_N,
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WeiBlockCopyClusterLengths,
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WeiBlockCopyDataPerRead_K,
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OutThreadCopyDataPerWrite_W>{};
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float time = launch_kernel(run_gridwise_convolution<decltype(gridwise_conv), T>,
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dim3(GridSize),
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dim3(BlockSize),
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0,
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static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer()),
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static_cast<T*>(wei_cyxk_device_buf.GetDeviceBuffer()),
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static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer()));
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printf("Elapsed time : %f ms, %f TFlop/s\n",
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time,
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(float)calculate_convolution_flops(InDesc{}, WeiDesc{}, OutDesc{}) /
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(std::size_t(1000) * 1000 * 1000) / time);
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usleep(std::min(time * 1000, float(10000)));
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}
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out_nkhw_device_buf.FromDevice(out_nkhw.mData.data());
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}
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@@ -13,6 +13,7 @@
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#include "device_convolution_implicit_gemm_v1_nchw_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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struct GeneratorTensor_1
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{
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@@ -410,7 +411,7 @@ void check_error(const Tensor<T>& ref, const Tensor<T>& result)
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int main(int argc, char* argv[])
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{
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#if 1
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#if 0
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// 3x3, 34x34
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constexpr index_t N = 64;
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constexpr index_t C = 256;
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@@ -434,7 +435,7 @@ int main(int argc, char* argv[])
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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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#elif 1
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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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@@ -603,7 +604,7 @@ int main(int argc, char* argv[])
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#if 1
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#if 0
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device_direct_convolution_1
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#elif 1
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#elif 0
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device_convolution_direct_v2_nchw_kcyx_nkhw
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#elif 0
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device_direct_convolution_2_vectorized_nchw_kcyx_nkhw
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@@ -615,6 +616,8 @@ int main(int argc, char* argv[])
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device_convolution_implicit_gemm_v1_nchw_cyxk_nkhw
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#elif 0
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device_convolution_implicit_gemm_v2_chwn_cyxk_khwn
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#elif 1
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device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw
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#endif
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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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