mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 08:50:17 +00:00
delete useless code
This commit is contained in:
Chao Liu
@@ -1,183 +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 "gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw.hip.hpp"
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#include "gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw_lds_pipeline.hip.hpp"
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template <class T, class InDesc, class WeiDesc, class OutDesc>
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void device_implicit_gemm_convolution_2_cnhw_srck_knhw(InDesc,
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const Tensor<T>& in_nchw,
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WeiDesc,
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const Tensor<T>& wei_kcsr,
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OutDesc,
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Tensor<T>& out_nkhw,
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unsigned 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_kcsr_desc = WeiDesc{};
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constexpr auto out_nkhw_desc = OutDesc{};
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constexpr unsigned N = in_nchw_desc.GetLength(I0);
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constexpr unsigned Hi = in_nchw_desc.GetLength(I2);
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constexpr unsigned Wi = in_nchw_desc.GetLength(I3);
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constexpr unsigned Ho = out_nkhw_desc.GetLength(I2);
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constexpr unsigned Wo = out_nkhw_desc.GetLength(I3);
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constexpr unsigned K = wei_kcsr_desc.GetLength(I0);
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constexpr unsigned C = wei_kcsr_desc.GetLength(I1);
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constexpr unsigned S = wei_kcsr_desc.GetLength(I2);
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constexpr unsigned R = wei_kcsr_desc.GetLength(I3);
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constexpr unsigned BGhostRead = (S - 1) * Wi + (R - 1);
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// convert in_nchw to in_cnhw
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auto in_cnhw_desc = make_ConstantTensorDescriptor(Sequence<C, N, Hi, Wi>{});
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ostream_ConstantTensorDescriptor(in_cnhw_desc, std::cout << "in_cnhw_desc: ");
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Tensor<T> in_cnhw(make_TensorDescriptor(in_cnhw_desc));
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auto f_reorder_nchw2cnhw = [&](auto n, auto c, auto hi, auto wi) {
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in_cnhw(c, n, hi, wi) = in_nchw(n, c, hi, wi);
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};
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make_ParallelTensorFunctor(f_reorder_nchw2cnhw, N, C, Hi, Wi)(
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std::thread::hardware_concurrency());
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// convert wei_kcsr to wei_srck
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auto wei_srck_desc = make_ConstantTensorDescriptor(Sequence<S, R, C, K>{});
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ostream_ConstantTensorDescriptor(wei_srck_desc, std::cout << "wei_srck_desc: ");
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Tensor<T> wei_srck(make_TensorDescriptor(wei_srck_desc));
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auto f_reorder_kcsr2srck = [&](auto k, auto c, auto s, auto r) {
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wei_srck(s, r, c, k) = wei_kcsr(k, c, s, r);
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};
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make_ParallelTensorFunctor(f_reorder_kcsr2srck, K, C, S, R)(
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std::thread::hardware_concurrency());
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// conver out_nkhw to out_knhw
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auto out_knhw_desc = make_ConstantTensorDescriptor(Sequence<K, N, Ho, Wo>{});
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ostream_ConstantTensorDescriptor(out_knhw_desc, std::cout << "out_knhw_desc: ");
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Tensor<T> out_knhw(make_TensorDescriptor(out_knhw_desc));
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#if 0
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constexpr unsigned BPerBlock = 128;
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constexpr unsigned KPerBlock = 1;
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constexpr unsigned CPerBlock = 1;
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constexpr unsigned BPerThread = 4;
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constexpr unsigned KPerThread = 1;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 1;
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constexpr unsigned GemmThreadPerRowPerCluster = 1;
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constexpr unsigned InBlockCopyThreadPerDim0 = 4;
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constexpr unsigned InBlockCopyThreadPerDim1 = 16;
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constexpr unsigned BlockSize = 32;
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#elif 1
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// 3x3, 34x34
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constexpr unsigned BPerBlock = 128;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 4;
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constexpr unsigned BPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 4;
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constexpr unsigned GemmThreadPerRowPerCluster = 8;
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constexpr unsigned InBlockCopyThreadPerDim0 = 4;
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constexpr unsigned InBlockCopyThreadPerDim1 = 16;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// 1x1, 28x28
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constexpr unsigned BPerBlock = 64;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 8;
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constexpr unsigned BPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 4;
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constexpr unsigned GemmThreadPerRowPerCluster = 8;
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constexpr unsigned InBlockCopyThreadPerDim0 = 4;
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constexpr unsigned InBlockCopyThreadPerDim1 = 16;
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constexpr unsigned BlockSize = 64;
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#endif
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constexpr unsigned GridSize =
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((N * Hi * Wi + BPerBlock - 1) / BPerBlock) * ((K + KPerBlock - 1) / KPerBlock);
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printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
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// mem
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std::size_t data_sz = sizeof(T);
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DeviceMem in_cnhw_device_buf(data_sz * (in_cnhw.mDesc.GetElementSpace() + BGhostRead +
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BPerBlock)); // reserve extra space for BGhostRead
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DeviceMem wei_srck_device_buf(data_sz * wei_srck.mDesc.GetElementSpace());
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DeviceMem out_knhw_device_buf(data_sz * out_knhw.mDesc.GetElementSpace());
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in_cnhw_device_buf.ToDevice(in_cnhw.mData.data());
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wei_srck_device_buf.ToDevice(wei_srck.mData.data());
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out_knhw_device_buf.ToDevice(out_knhw.mData.data());
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for(unsigned i = 0; i < nrepeat; ++i)
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{
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float time = launch_kernel(
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#if 1
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gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw
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#else
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gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw_lds_pipeline
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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_cnhw_desc),
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decltype(wei_srck_desc),
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decltype(out_knhw_desc),
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BPerBlock,
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KPerBlock,
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CPerBlock,
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BPerThread,
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KPerThread,
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CPerThread,
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GemmThreadPerColumnPerCluster,
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GemmThreadPerRowPerCluster,
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InBlockCopyThreadPerDim0,
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InBlockCopyThreadPerDim1>,
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dim3(GridSize),
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dim3(BlockSize),
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static_cast<T*>(in_cnhw_device_buf.GetDeviceBuffer()),
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static_cast<T*>(wei_srck_device_buf.GetDeviceBuffer()),
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static_cast<T*>(out_knhw_device_buf.GetDeviceBuffer()));
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printf("Elapsed time : %f ms\n", time);
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usleep(std::min(time * 1000, float(10000)));
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}
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out_knhw_device_buf.FromDevice(out_knhw.mData.data());
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// convert out_knhw to out_nkhw
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auto f_reorder_knhw2nkhw = [&](auto n, auto k, auto ho, auto wo) {
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out_nkhw(n, k, ho, wo) = out_knhw(k, n, ho, wo);
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};
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make_ParallelTensorFunctor(f_reorder_knhw2nkhw, N, K, Ho, Wo)(
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std::thread::hardware_concurrency());
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}
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@@ -12,7 +12,6 @@
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#include "device_implicit_gemm_convolution_1_nchw_srck_nkhw.hpp"
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#include "device_implicit_gemm_convolution_1_chwn_csrk_khwn.hpp"
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#include "device_implicit_gemm_convolution_1_chwn_csrk_khwn_padded.hpp"
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#include "device_implicit_gemm_convolution_2_cnhw_srck_knhw.hpp"
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#include "device_implicit_gemm_convolution_2_cnhw_csrk_knhw.hpp"
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//#include "device_winograd_convolution.hip.hpp"
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@@ -595,8 +594,6 @@ int main()
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device_implicit_gemm_convolution_1_nchw_srck_nkhw
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#elif 0
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device_implicit_gemm_convolution_1_chwn_csrk_khwn
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#elif 0
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device_implicit_gemm_convolution_2_cnhw_srck_knhw
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#elif 1
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device_implicit_gemm_convolution_2_cnhw_csrk_knhw
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#endif
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@@ -614,7 +611,7 @@ int main()
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nrepeat);
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#endif
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#if 1
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#if 0
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if(S == 3 && R == 3)
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{
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host_winograd_3x3_convolution(in_nchw, wei_kcsr, out_nkhw_host, lower_pads, upper_pads);
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@@ -1,273 +0,0 @@
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#pragma once
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#include "common.hip.hpp"
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#include "ConstantTensorDescriptor.hip.hpp"
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#include "ConstantMatrixDescriptor.hip.hpp"
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#include "blockwise_4d_tensor_op.hip.hpp"
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#include "blockwise_2d_tensor_op.hip.hpp"
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#include "threadwise_2d_tensor_op.hip.hpp"
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#include "blockwise_gemm.hip.hpp"
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// define B = flatten(N, Hi, Wi)
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template <unsigned GridSize,
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unsigned 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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unsigned BPerBlock,
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unsigned KPerBlock,
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unsigned CPerBlock,
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unsigned BPerThread,
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unsigned KPerThread,
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unsigned CPerThread,
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unsigned GemmThreadPerColumnPerCluster,
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unsigned GemmThreadPerRowPerCluster,
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unsigned InBlockCopyThreadPerDim0,
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unsigned InBlockCopyThreadPerDim1>
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__global__ void
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gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw(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)
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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_cnhw_global_desc = InGlobalDesc{};
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constexpr auto wei_srck_global_desc = WeiGlobalDesc{};
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constexpr auto out_knhw_global_desc = OutGlobalDesc{};
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constexpr unsigned C = in_cnhw_global_desc.GetLength(I0);
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constexpr unsigned N = in_cnhw_global_desc.GetLength(I1);
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constexpr unsigned Hi = in_cnhw_global_desc.GetLength(I2);
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constexpr unsigned Wi = in_cnhw_global_desc.GetLength(I3);
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constexpr unsigned K = out_knhw_global_desc.GetLength(I0);
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constexpr unsigned Ho = out_knhw_global_desc.GetLength(I2);
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constexpr unsigned Wo = out_knhw_global_desc.GetLength(I3);
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constexpr unsigned S = wei_srck_global_desc.GetLength(I0);
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constexpr unsigned R = wei_srck_global_desc.GetLength(I1);
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constexpr unsigned B = N * Hi * Wi;
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constexpr unsigned BGhostRead = (S - 1) * Wi + (R - 1);
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// divide block work by 2d: [K, B]
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constexpr unsigned KBlockWork = (K + KPerBlock - 1) / KPerBlock;
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constexpr unsigned BBlockWork = (B + BPerBlock - 1) / BPerBlock;
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const unsigned k_block_work_id = get_block_1d_id() / BBlockWork;
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const unsigned b_block_work_id = get_block_1d_id() - k_block_work_id * BBlockWork;
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const unsigned k_block_data_begin = k_block_work_id * KPerBlock;
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const unsigned b_block_data_begin = b_block_work_id * BPerBlock;
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#if 0
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if(get_thread_local_1d_id() == 0)
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{
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printf("K %u B %u, BGhostRead %u\n", K, B, BGhostRead);
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printf("%u %u, KBlockWork %u BBlockWork %u, k_block_data_begin %u b_block_data_begin %u\n",
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get_block_1d_id(),
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get_thread_local_1d_id(),
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KBlockWork,
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BBlockWork,
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k_block_data_begin,
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b_block_data_begin);
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}
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#endif
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// flattend (2d) tensor view of gridwise input
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constexpr auto in_cb_global_desc = make_ConstantTensorDescriptor(Sequence<C, B>{});
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// tensor view of blockwise input and weight
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constexpr auto in_cb_block_desc =
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make_ConstantTensorDescriptor(Sequence<CPerBlock, BPerBlock + BGhostRead>{});
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constexpr auto wei_srck_block_desc =
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make_ConstantTensorDescriptor(Sequence<S, R, CPerBlock, KPerBlock>{});
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// tensor view of threadwise output in register
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constexpr auto out_kb_thread_desc =
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make_ConstantTensorDescriptor(Sequence<KPerThread, BPerThread>{});
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#if 0
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if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
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{
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print_ConstantTensorDescriptor(in_cb_block_desc, "in_cb_block_desc");
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print_ConstantTensorDescriptor(wei_srck_block_desc, "wei_srck_block_desc");
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print_ConstantTensorDescriptor(out_kb_thread_desc, "out_kb_thread_desc");
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printf("KPerBlock %u\n", KPerBlock);
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}
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#endif
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// blockwise in copy
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// formmat is [CPerBlock,BPerBlock + BGhostRead]
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#if 0
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const auto blockwise_in_copy =
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Blockwise2dTensorCopy1<BlockSize,
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Float,
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decltype(in_cb_global_desc),
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decltype(in_cb_block_desc),
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decltype(in_cb_block_desc.GetLengths())>{};
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#elif 1
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const auto blockwise_in_copy = Blockwise2dTensorCopy2<BlockSize,
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Float,
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decltype(in_cb_global_desc),
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decltype(in_cb_block_desc),
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decltype(in_cb_block_desc.GetLengths()),
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InBlockCopyThreadPerDim0,
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InBlockCopyThreadPerDim1>{};
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#endif
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// blockwise wei copy
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// format is [S,R,CPerBlock,KPerBlock]
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const auto blockwise_wei_copy =
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Blockwise4dTensorCopy1<BlockSize,
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Float,
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decltype(wei_srck_global_desc),
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decltype(wei_srck_block_desc),
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decltype(wei_srck_block_desc.GetLengths())>{};
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// a series of blockwise GEMM
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// c_mtx += transpose(a_mtx) * b_mtx
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// a_mtx and b_mtx saved in LDS, c_mtx saved in register
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// a_mtx[C,K] is a sub-matrix of wei_block[S,R,C,K]
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// b_mtx[C,B] is a subset of in_block[C,B + BGhostRead]
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// c_mtx[K,B] is out_block[K,B]
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constexpr auto a_cxk_block_mtx_desc =
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make_ConstantMatrixDescriptor(Number<CPerBlock>{}, Number<KPerBlock>{});
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constexpr auto b_cxb_block_mtx_desc = make_ConstantMatrixDescriptor(
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Number<CPerBlock>{}, Number<BPerBlock>{}, Number<in_cb_block_desc.GetStride(I0)>{});
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constexpr auto c_kxb_thread_mtx_desc =
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make_ConstantMatrixDescriptor(Number<KPerThread>{}, Number<BPerThread>{});
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const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadC<BlockSize,
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decltype(a_cxk_block_mtx_desc),
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decltype(b_cxb_block_mtx_desc),
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decltype(c_kxb_thread_mtx_desc),
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true,
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false,
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false,
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CPerThread,
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GemmThreadPerColumnPerCluster,
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GemmThreadPerRowPerCluster,
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true>{};
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// LDS
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constexpr unsigned in_block_size = in_cb_block_desc.GetElementSpace();
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constexpr unsigned wei_block_size = wei_srck_block_desc.GetElementSpace();
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__shared__ Float p_in_block[in_block_size];
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__shared__ Float p_wei_block[wei_block_size];
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// register
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Float p_out_thread[out_kb_thread_desc.GetElementSpace()];
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// set threadwise output tensor to 0
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threadwise_2d_tensor_set_zero(out_kb_thread_desc, p_out_thread);
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const Float* p_in_global_block_offset =
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p_in_global + in_cb_global_desc.Get1dIndex(0, b_block_data_begin);
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const Float* p_wei_global_block_offset =
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p_wei_global + wei_srck_global_desc.Get1dIndex(0, 0, 0, k_block_data_begin);
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for(unsigned c_block_data_begin = 0; c_block_data_begin < C; c_block_data_begin += CPerBlock,
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p_in_global_block_offset += CPerBlock * in_cb_global_desc.GetStride(I0),
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p_wei_global_block_offset += CPerBlock * wei_srck_global_desc.GetStride(I2),
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__syncthreads())
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{
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#if 1
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// input: global mem to LDS,
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blockwise_in_copy.Run(p_in_global_block_offset, p_in_block);
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#endif
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#if 1
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// weight: global mem to LDS,
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blockwise_wei_copy.Run(p_wei_global_block_offset, p_wei_block);
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#endif
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__syncthreads();
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#if 1
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// a series of GEMM
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for(unsigned s = 0; s < S; ++s)
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{
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for(unsigned r = 0; r < R; ++r)
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{
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auto f_accum = [](auto& c, const auto&& ab) { c += ab; };
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||||
blockwise_gemm.Run(p_wei_block + wei_srck_block_desc.Get1dIndex(s, r, 0, 0),
|
||||
p_in_block + s * Wi + r,
|
||||
p_out_thread,
|
||||
f_accum);
|
||||
}
|
||||
}
|
||||
#endif
|
||||
}
|
||||
|
||||
// output: register to global mem,
|
||||
const auto matrix_c_index = blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
|
||||
|
||||
const unsigned k_thread_data_begin = matrix_c_index.row;
|
||||
const unsigned b_thread_data_begin = matrix_c_index.col;
|
||||
|
||||
const unsigned k_data_begin = k_block_data_begin + k_thread_data_begin;
|
||||
const unsigned b_data_begin = b_block_data_begin + b_thread_data_begin;
|
||||
|
||||
#if 0
|
||||
if(get_block_1d_id() == 0)
|
||||
{
|
||||
printf("%u %u, row %u col %u, k_data_begin %u b_data_begin %u, %f %f %f %f\n",
|
||||
get_block_1d_id(),
|
||||
get_thread_local_1d_id(),
|
||||
matrix_c_index.row,
|
||||
matrix_c_index.col,
|
||||
k_data_begin,
|
||||
b_data_begin,
|
||||
p_out_thread[0], p_out_thread[1], p_out_thread[2], p_out_thread[3]);
|
||||
}
|
||||
#endif
|
||||
|
||||
for(unsigned k = 0; k < out_kb_thread_desc.GetLength(I0); ++k)
|
||||
{
|
||||
for(unsigned b = 0; b < out_kb_thread_desc.GetLength(I1); ++b)
|
||||
{
|
||||
unsigned k_data = k_data_begin + k;
|
||||
unsigned b_data = b_data_begin + b;
|
||||
|
||||
unsigned n_data = b_data / (Hi * Wi);
|
||||
unsigned itmp = b_data - n_data * (Hi * Wi);
|
||||
unsigned h_data = itmp / Wi;
|
||||
unsigned w_data = itmp - h_data * Wi;
|
||||
|
||||
#if 0
|
||||
if(get_block_1d_id() == 0)
|
||||
{
|
||||
printf("%u %u, k %u b %u, k_data %u n_data %u h_data %u w_data %u %f\n",
|
||||
get_block_1d_id(),
|
||||
get_thread_local_1d_id(),
|
||||
k,
|
||||
b,
|
||||
k_data,
|
||||
n_data,
|
||||
h_data,
|
||||
w_data,
|
||||
p_out_thread[out_kb_thread_desc.Get1dIndex(k, b)]);
|
||||
}
|
||||
#endif
|
||||
if(n_data < N && h_data < Ho && w_data < Wo)
|
||||
{
|
||||
#if 1
|
||||
p_out_global[out_knhw_global_desc.Get1dIndex(k_data, n_data, h_data, w_data)] =
|
||||
p_out_thread[out_kb_thread_desc.Get1dIndex(k, b)];
|
||||
#endif
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,315 +0,0 @@
|
||||
#pragma once
|
||||
#include "common.hip.hpp"
|
||||
#include "ConstantTensorDescriptor.hip.hpp"
|
||||
#include "ConstantMatrixDescriptor.hip.hpp"
|
||||
#include "blockwise_4d_tensor_op.hip.hpp"
|
||||
#include "blockwise_2d_tensor_op.hip.hpp"
|
||||
#include "threadwise_2d_tensor_op.hip.hpp"
|
||||
#include "blockwise_gemm.hip.hpp"
|
||||
|
||||
// define B = N*Hi*Wi
|
||||
template <unsigned GridSize,
|
||||
unsigned BlockSize,
|
||||
class Float,
|
||||
class InGlobalDesc,
|
||||
class WeiGlobalDesc,
|
||||
class OutGlobalDesc,
|
||||
unsigned BPerBlock,
|
||||
unsigned KPerBlock,
|
||||
unsigned CPerBlock,
|
||||
unsigned BPerThread,
|
||||
unsigned KPerThread,
|
||||
unsigned CPerThread,
|
||||
unsigned GemmThreadPerColumnPerCluster,
|
||||
unsigned GemmThreadPerRowPerCluster,
|
||||
unsigned InBlockCopyThreadPerDim0,
|
||||
unsigned InBlockCopyThreadPerDim1>
|
||||
__global__ void gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw_lds_pipeline(
|
||||
const Float* const __restrict__ p_in_global,
|
||||
const Float* const __restrict__ p_wei_global,
|
||||
Float* const __restrict__ p_out_global)
|
||||
{
|
||||
constexpr auto I0 = Number<0>{};
|
||||
constexpr auto I1 = Number<1>{};
|
||||
constexpr auto I2 = Number<2>{};
|
||||
constexpr auto I3 = Number<3>{};
|
||||
|
||||
constexpr auto in_cnhw_global_desc = InGlobalDesc{};
|
||||
constexpr auto wei_srck_global_desc = WeiGlobalDesc{};
|
||||
constexpr auto out_knhw_global_desc = OutGlobalDesc{};
|
||||
|
||||
constexpr unsigned C = in_cnhw_global_desc.GetLength(I0);
|
||||
constexpr unsigned N = in_cnhw_global_desc.GetLength(I1);
|
||||
constexpr unsigned Hi = in_cnhw_global_desc.GetLength(I2);
|
||||
constexpr unsigned Wi = in_cnhw_global_desc.GetLength(I3);
|
||||
|
||||
constexpr unsigned K = out_knhw_global_desc.GetLength(I0);
|
||||
constexpr unsigned Ho = out_knhw_global_desc.GetLength(I2);
|
||||
constexpr unsigned Wo = out_knhw_global_desc.GetLength(I3);
|
||||
|
||||
constexpr unsigned S = wei_srck_global_desc.GetLength(I0);
|
||||
constexpr unsigned R = wei_srck_global_desc.GetLength(I1);
|
||||
|
||||
constexpr unsigned B = N * Hi * Wi;
|
||||
constexpr unsigned BGhostRead = (S - 1) * Wi + (R - 1);
|
||||
|
||||
// divide block work by 2d: [K, B]
|
||||
constexpr unsigned KBlockWork = (K + KPerBlock - 1) / KPerBlock;
|
||||
constexpr unsigned BBlockWork = (B + BPerBlock - 1) / BPerBlock;
|
||||
|
||||
const unsigned k_block_work_id = get_block_1d_id() / BBlockWork;
|
||||
const unsigned b_block_work_id = get_block_1d_id() - k_block_work_id * BBlockWork;
|
||||
|
||||
const unsigned k_block_data_begin = k_block_work_id * KPerBlock;
|
||||
const unsigned b_block_data_begin = b_block_work_id * BPerBlock;
|
||||
|
||||
#if 0
|
||||
if(get_thread_local_1d_id() == 0)
|
||||
{
|
||||
printf("K %u B %u, BGhostRead %u\n", K, B, BGhostRead);
|
||||
|
||||
printf("%u %u, KBlockWork %u BBlockWork %u, k_block_data_begin %u b_block_data_begin %u\n",
|
||||
get_block_1d_id(),
|
||||
get_thread_local_1d_id(),
|
||||
KBlockWork,
|
||||
BBlockWork,
|
||||
k_block_data_begin,
|
||||
b_block_data_begin);
|
||||
}
|
||||
#endif
|
||||
|
||||
// flattend (2d) tensor view of gridwise input
|
||||
constexpr auto in_cb_global_desc = make_ConstantTensorDescriptor(Sequence<C, B>{});
|
||||
|
||||
// tensor view of blockwise input and weight
|
||||
constexpr auto in_cb_block_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<CPerBlock, BPerBlock + BGhostRead>{});
|
||||
|
||||
constexpr auto wei_srck_block_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<S, R, CPerBlock, KPerBlock>{});
|
||||
|
||||
// tensor view of threadwise output in register
|
||||
constexpr auto out_kb_thread_desc =
|
||||
make_ConstantTensorDescriptor(Sequence<KPerThread, BPerThread>{});
|
||||
|
||||
#if 0
|
||||
if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
|
||||
{
|
||||
print_ConstantTensorDescriptor(in_cb_block_desc, "in_cb_block_desc");
|
||||
print_ConstantTensorDescriptor(wei_srck_block_desc, "wei_srck_block_desc");
|
||||
print_ConstantTensorDescriptor(out_kb_thread_desc, "out_kb_thread_desc");
|
||||
|
||||
printf("KPerBlock %u\n", KPerBlock);
|
||||
}
|
||||
#endif
|
||||
|
||||
// in: global mem to LDS
|
||||
// formmat is [CPerBlock,BPerBlock + BGhostRead]
|
||||
#if 1
|
||||
const auto blockwise_in_copy =
|
||||
Blockwise2dTensorCopy1<BlockSize,
|
||||
Float,
|
||||
decltype(in_cb_global_desc),
|
||||
decltype(in_cb_block_desc),
|
||||
decltype(in_cb_block_desc.GetLengths())>{};
|
||||
#elif 1
|
||||
const auto blockwise_in_copy = Blockwise2dTensorCopy2<BlockSize,
|
||||
Float,
|
||||
decltype(in_cb_global_desc),
|
||||
decltype(in_cb_block_desc),
|
||||
decltype(in_cb_block_desc.GetLengths()),
|
||||
InBlockCopyThreadPerDim0,
|
||||
InBlockCopyThreadPerDim1>{};
|
||||
#elif 0
|
||||
const auto blockwise_in_copy =
|
||||
blockwise_2d_tensor_copy_dummy_2<BlockSize,
|
||||
Float,
|
||||
decltype(in_cb_global_desc),
|
||||
decltype(in_cb_block_desc),
|
||||
decltype(in_cb_block_desc.GetLengths())>{};
|
||||
#endif
|
||||
|
||||
// weight: global mem to LDS,
|
||||
// format is [S,R,CPerBlock,KPerBlock]
|
||||
#if 1
|
||||
const auto blockwise_wei_copy =
|
||||
Blockwise4dTensorCopy1<BlockSize,
|
||||
Float,
|
||||
decltype(wei_srck_global_desc),
|
||||
decltype(wei_srck_block_desc),
|
||||
decltype(wei_srck_block_desc.GetLengths())>{};
|
||||
#else
|
||||
const auto blockwise_wei_copy =
|
||||
blockwise_4d_tensor_copy_dummy<BlockSize,
|
||||
Float,
|
||||
decltype(wei_srck_global_desc),
|
||||
decltype(wei_srck_block_desc),
|
||||
decltype(wei_srck_block_desc.GetLengths())>{};
|
||||
#endif
|
||||
|
||||
// a series of blockwise GEMM
|
||||
// c_mtx += transpose(a_mtx) * b_mtx
|
||||
// a_mtx and b_mtx saved in LDS, c_mtx saved in register
|
||||
// a_mtx[C,K] is a sub-matrix of wei_block[S,R,C,K]
|
||||
// b_mtx[C,B] is a subset of in_block[C,B + BGhostRead]
|
||||
// c_mtx[K,B] is out_block[K,B]
|
||||
constexpr auto a_cxk_block_mtx_desc =
|
||||
make_ConstantMatrixDescriptor(Number<CPerBlock>{}, Number<KPerBlock>{});
|
||||
|
||||
constexpr auto b_cxb_block_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<CPerBlock>{}, Number<BPerBlock>{}, Number<in_cb_block_desc.GetStride(I0)>{});
|
||||
|
||||
constexpr auto c_kxb_thread_mtx_desc =
|
||||
make_ConstantMatrixDescriptor(Number<KPerThread>{}, Number<BPerThread>{});
|
||||
|
||||
const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadC<BlockSize,
|
||||
decltype(a_cxk_block_mtx_desc),
|
||||
decltype(b_cxb_block_mtx_desc),
|
||||
decltype(c_kxb_thread_mtx_desc),
|
||||
true,
|
||||
false,
|
||||
false,
|
||||
CPerThread,
|
||||
GemmThreadPerColumnPerCluster,
|
||||
GemmThreadPerRowPerCluster,
|
||||
true>{};
|
||||
|
||||
// LDS
|
||||
constexpr unsigned in_block_size = in_cb_block_desc.GetElementSpace();
|
||||
constexpr unsigned wei_block_size = wei_srck_block_desc.GetElementSpace();
|
||||
|
||||
// double buffer
|
||||
__shared__ Float p_in_block_0[in_block_size];
|
||||
__shared__ Float p_wei_block_0[wei_block_size];
|
||||
|
||||
__shared__ Float p_in_block_1[in_block_size];
|
||||
__shared__ Float p_wei_block_1[wei_block_size];
|
||||
|
||||
// register
|
||||
Float p_out_thread[out_kb_thread_desc.GetElementSpace()];
|
||||
|
||||
// set threadwise output tensor to 0
|
||||
threadwise_2d_tensor_set_zero(out_kb_thread_desc, p_out_thread);
|
||||
|
||||
// prelog: load data
|
||||
#if 1
|
||||
// input: global mem to LDS,
|
||||
blockwise_in_copy.Run(p_in_global + in_cb_global_desc.Get1dIndex(0, b_block_data_begin),
|
||||
p_in_block_0);
|
||||
#endif
|
||||
|
||||
#if 1
|
||||
// weight: global mem to LDS,
|
||||
blockwise_wei_copy.Run(
|
||||
p_wei_global + wei_srck_global_desc.Get1dIndex(0, 0, 0, k_block_data_begin), p_wei_block_0);
|
||||
#endif
|
||||
|
||||
unsigned cloop = 0;
|
||||
|
||||
for(unsigned c_block_data_begin = 0; c_block_data_begin + CPerBlock < C;
|
||||
c_block_data_begin += CPerBlock, ++cloop)
|
||||
{
|
||||
__syncthreads();
|
||||
|
||||
Float* p_in_block_now = (cloop % 2 == 0) ? p_in_block_0 : p_in_block_1;
|
||||
Float* p_wei_block_now = (cloop % 2 == 0) ? p_wei_block_0 : p_wei_block_1;
|
||||
|
||||
Float* p_in_block_next = (cloop % 2 == 0) ? p_in_block_1 : p_in_block_0;
|
||||
Float* p_wei_block_next = (cloop % 2 == 0) ? p_wei_block_1 : p_wei_block_0;
|
||||
|
||||
#if 1
|
||||
// preload next data
|
||||
// input: global mem to LDS,
|
||||
blockwise_in_copy.Run(p_in_global + in_cb_global_desc.Get1dIndex(
|
||||
c_block_data_begin + CPerBlock, b_block_data_begin),
|
||||
p_in_block_next);
|
||||
#endif
|
||||
|
||||
#if 1
|
||||
// weight: global mem to LDS,
|
||||
blockwise_wei_copy.Run(p_wei_global +
|
||||
wei_srck_global_desc.Get1dIndex(
|
||||
0, 0, c_block_data_begin + CPerBlock, k_block_data_begin),
|
||||
p_wei_block_next);
|
||||
#endif
|
||||
|
||||
// a series of GEMM
|
||||
for(unsigned s = 0; s < S; ++s)
|
||||
{
|
||||
for(unsigned r = 0; r < R; ++r)
|
||||
{
|
||||
auto f_accum = [](auto& c, const auto&& ab) { c += ab; };
|
||||
|
||||
blockwise_gemm.Run(p_wei_block_now + wei_srck_block_desc.Get1dIndex(s, r, 0, 0),
|
||||
p_in_block_now + s * Wi + r,
|
||||
p_out_thread,
|
||||
f_accum);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
{
|
||||
// last cloop
|
||||
__syncthreads();
|
||||
|
||||
Float* p_in_block_now = (cloop % 2 == 0) ? p_in_block_0 : p_in_block_1;
|
||||
Float* p_wei_block_now = (cloop % 2 == 0) ? p_wei_block_0 : p_wei_block_1;
|
||||
|
||||
// a series of GEMM
|
||||
for(unsigned s = 0; s < S; ++s)
|
||||
{
|
||||
for(unsigned r = 0; r < R; ++r)
|
||||
{
|
||||
auto f_accum = [](auto& c, const auto&& ab) { c += ab; };
|
||||
|
||||
blockwise_gemm.Run(p_wei_block_now + wei_srck_block_desc.Get1dIndex(s, r, 0, 0),
|
||||
p_in_block_now + s * Wi + r,
|
||||
p_out_thread,
|
||||
f_accum);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// output: register to global mem,
|
||||
const auto matrix_c_index = blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
|
||||
|
||||
const unsigned k_thread_data_begin = matrix_c_index.row;
|
||||
const unsigned b_thread_data_begin = matrix_c_index.col;
|
||||
|
||||
const unsigned k_data_begin = k_block_data_begin + k_thread_data_begin;
|
||||
const unsigned b_data_begin = b_block_data_begin + b_thread_data_begin;
|
||||
|
||||
#if 0
|
||||
if(get_block_1d_id() == 0)
|
||||
{
|
||||
printf("%u %u, row %u col %u, k_data_begin %u b_data_begin %u, %f %f %f %f\n",
|
||||
get_block_1d_id(),
|
||||
get_thread_local_1d_id(),
|
||||
matrix_c_index.row,
|
||||
matrix_c_index.col,
|
||||
k_data_begin,
|
||||
b_data_begin,
|
||||
p_out_thread[0], p_out_thread[1], p_out_thread[2], p_out_thread[3]);
|
||||
}
|
||||
#endif
|
||||
|
||||
for(unsigned k = 0; k < out_kb_thread_desc.GetLength(I0); ++k)
|
||||
{
|
||||
for(unsigned b = 0; b < out_kb_thread_desc.GetLength(I1); ++b)
|
||||
{
|
||||
unsigned k_data = k_data_begin + k;
|
||||
unsigned b_data = b_data_begin + b;
|
||||
|
||||
unsigned n_data = b_data / (Hi * Wi);
|
||||
unsigned itmp = b_data - n_data * (Hi * Wi);
|
||||
unsigned h_data = itmp / Wi;
|
||||
unsigned w_data = itmp - h_data * Wi;
|
||||
|
||||
if(n_data < N && h_data < Ho && w_data < Wo)
|
||||
{
|
||||
p_out_global[out_knhw_global_desc.Get1dIndex(k_data, n_data, h_data, w_data)] =
|
||||
p_out_thread[out_kb_thread_desc.Get1dIndex(k, b)];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user