mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 17:00:18 +00:00
add another implicit gemm: CHWN, CSRK, KHWN
This commit is contained in:
Chao Liu
@@ -10,6 +10,7 @@
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#include "device_direct_convolution_2.cuh"
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//#include "device_implicit_gemm_convolution_1_nchw_kcsr.cuh"
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#include "device_implicit_gemm_convolution_1_nchw_srck_nkhw.cuh"
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#include "device_implicit_gemm_convolution_1_chwn_csrk_khwn.cuh"
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#include "device_implicit_gemm_convolution_2_cnhw_srck_knhw.cuh"
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//#include "device_winograd_convolution.cuh"
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@@ -355,12 +356,13 @@ int main()
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#if 0
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constexpr unsigned N = 1;
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constexpr unsigned C = 1;
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constexpr unsigned HI = 34;
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constexpr unsigned WI = 34;
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constexpr unsigned HI = 10;
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constexpr unsigned WI = 10;
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constexpr unsigned K = 1;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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#elif 1
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#elif 0
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// 3x3, 34x34
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constexpr unsigned N = 64;
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constexpr unsigned C = 256;
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constexpr unsigned HI = 34;
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@@ -368,7 +370,17 @@ int main()
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constexpr unsigned K = 64;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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#elif 1
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// 3x3, 54x54
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constexpr unsigned N = 64;
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constexpr unsigned C = 64;
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constexpr unsigned HI = 54;
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constexpr unsigned WI = 54;
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constexpr unsigned K = 64;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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#elif 0
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// 3x3, 56x56
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constexpr unsigned N = 64;
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constexpr unsigned C = 64;
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constexpr unsigned HI = 56;
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@@ -377,6 +389,16 @@ int main()
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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#elif 1
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// 3x3, 58x58
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constexpr unsigned N = 64;
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constexpr unsigned C = 64;
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constexpr unsigned HI = 58;
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constexpr unsigned WI = 58;
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constexpr unsigned K = 64;
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constexpr unsigned S = 3;
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constexpr unsigned R = 3;
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#elif 0
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// 5x5, 36x36
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constexpr unsigned N = 64;
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constexpr unsigned C = 256;
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constexpr unsigned HI = 36;
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@@ -384,6 +406,15 @@ int main()
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constexpr unsigned K = 64;
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constexpr unsigned S = 5;
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constexpr unsigned R = 5;
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#elif 0
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// 7x7, 38x38
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constexpr unsigned N = 64;
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constexpr unsigned C = 256;
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constexpr unsigned HI = 38;
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constexpr unsigned WI = 38;
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constexpr unsigned K = 64;
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constexpr unsigned S = 7;
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constexpr unsigned R = 7;
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#endif
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auto in_nchw_desc = make_ConstantTensorDescriptor(Sequence<N, C, HI, WI>{});
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@@ -402,7 +433,7 @@ int main()
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std::size_t num_thread = std::thread::hardware_concurrency();
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#if 0
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#if 1
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in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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wei_kcsr.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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#elif 1
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@@ -418,8 +449,10 @@ int main()
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device_direct_convolution_2
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#elif 0
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device_implicit_gemm_convolution_1_nchw_kcsr
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#elif 1
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#elif 0
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device_implicit_gemm_convolution_1_nchw_srck_nkhw
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#elif 1
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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 0
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@@ -428,10 +461,14 @@ int main()
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(in_nchw_desc, in_nchw, wei_kcsr_desc, wei_kcsr, out_nkhw_desc, out_nkhw_device, nrepeat);
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#if 1
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host_winograd_3x3_convolution(in_nchw, wei_kcsr, out_nkhw_host);
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check_error(out_nkhw_host, out_nkhw_device);
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#elif 0
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host_direct_convolution(in_nchw, wei_kcsr, out_nkhw_host);
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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);
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}
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else
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{
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host_direct_convolution(in_nchw, wei_kcsr, out_nkhw_host);
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}
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check_error(out_nkhw_host, out_nkhw_device);
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#endif
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212
driver/device_implicit_gemm_convolution_1_chwn_csrk_khwn.cuh
Normal file
212
driver/device_implicit_gemm_convolution_1_chwn_csrk_khwn.cuh
Normal file
@@ -0,0 +1,212 @@
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#pragma once
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#include "gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn.cuh"
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#include <unistd.h>
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template <class T, class InDesc, class WeiDesc, class OutDesc>
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void device_implicit_gemm_convolution_1_chwn_csrk_khwn(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 Hi = in_nchw_desc.GetLength(I2);
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constexpr unsigned Wi = in_nchw_desc.GetLength(I3);
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constexpr unsigned N = out_nkhw_desc.GetLength(I0);
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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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// reorder weight
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auto wei_csrk_desc = make_ConstantTensorDescriptor(Sequence<C, S, R, K>{});
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ostream_ConstantTensorDescriptor(wei_csrk_desc, std::cout << "wei_csrk_desc: ");
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Tensor<T> wei_csrk(make_TensorDescriptor(wei_csrk_desc));
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auto f_reorder_kcsr2csrk = [&](auto k, auto c, auto s, auto r) {
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wei_csrk(c, s, r, k) = wei_kcsr(k, c, s, r);
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};
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make_ParallelTensorFunctor(f_reorder_kcsr2csrk, K, C, S, R)(
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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_csrk_device_buf(data_sz * wei_csrk.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_csrk_device_buf.ToDevice(wei_csrk.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 unsigned NPerBlock = 1;
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constexpr unsigned KPerBlock = 1;
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constexpr unsigned CPerBlock = 1;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 1;
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constexpr unsigned KPerThread = 1;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 8;
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#elif 1
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// for 3x3, 34x34 | 3x3 58x58
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constexpr unsigned NPerBlock = 16;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 4;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// for 5x5, 36x36
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constexpr unsigned NPerBlock = 16;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 2;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// for 7x7, 38x38
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constexpr unsigned NPerBlock = 8;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 2;
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constexpr unsigned HoPerBlock = 4;
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constexpr unsigned WoPerBlock = 4;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// for 3x3, 56x56
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constexpr unsigned NPerBlock = 32;
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constexpr unsigned KPerBlock = 64;
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constexpr unsigned CPerBlock = 4;
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constexpr unsigned HoPerBlock = 2;
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constexpr unsigned WoPerBlock = 2;
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constexpr unsigned NPerThread = 4;
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constexpr unsigned KPerThread = 16;
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constexpr unsigned CPerThread = 1;
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constexpr unsigned HoPerThread = 1;
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constexpr unsigned WoPerThread = 1;
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constexpr unsigned BlockSize = 128;
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#endif
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constexpr unsigned 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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dim3 block_dim(BlockSize);
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dim3 grid_dim(GridSize);
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printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
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for(unsigned i = 0; i < nrepeat; ++i)
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{
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cudaEvent_t start, stop;
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float elapsedTime;
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cudaEventCreate(&start);
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cudaEventRecord(start, 0);
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gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn<GridSize,
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BlockSize,
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T,
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decltype(in_chwn_desc),
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decltype(wei_csrk_desc),
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decltype(out_khwn_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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CPerThread,
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HoPerThread,
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WoPerThread>
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<<<grid_dim, block_dim>>>(in_chwn_desc,
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static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
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wei_csrk_desc,
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static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer()),
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out_khwn_desc,
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static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer()));
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cudaEventCreate(&stop);
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cudaEventRecord(stop, 0);
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cudaEventSynchronize(stop);
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cudaEventElapsedTime(&elapsedTime, start, stop);
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printf("Elapsed time : %f ms\n", elapsedTime);
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usleep(10000);
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}
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checkCudaErrors(cudaGetLastError());
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out_khwn_device_buf.FromDevice(out_khwn.mData.data());
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// reorder output
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auto f_reorder_khwn2nkhw = [&](auto k, auto ho, auto wo, auto n) {
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out_nkhw(n, k, ho, wo) = out_khwn(k, ho, wo, n);
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};
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make_ParallelTensorFunctor(f_reorder_khwn2nkhw, K, Ho, Wo, N)(
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std::thread::hardware_concurrency());
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}
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@@ -0,0 +1,239 @@
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#pragma once
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#include "common.cuh"
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#include "ConstantTensorDescriptor.cuh"
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#include "ConstantMatrixDescriptor.cuh"
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#include "blockwise_4d_tensor_op.cuh"
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#include "threadwise_4d_tensor_op.cuh"
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#include "gemm.cuh"
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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 NPerBlock,
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unsigned KPerBlock,
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unsigned CPerBlock,
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unsigned HoPerBlock,
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unsigned WoPerBlock,
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unsigned NPerThread,
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unsigned KPerThread,
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unsigned CPerThread,
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unsigned HoPerThread,
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unsigned WoPerThread>
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__global__ void
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gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn(InGlobalDesc,
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Float* const __restrict__ p_in_global,
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WeiGlobalDesc,
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Float* const __restrict__ p_wei_global,
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OutGlobalDesc,
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Float* __restrict__ p_out_global)
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{
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// NPerThread == NPerBlock, because the format of input in LDS [C,Hi,Wi,N]
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// for GEMM trans([C,K]) * [C,Wo*N], we need a thread to do all the "N"
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// if we use [C,Hi,N,Wi,N] in LDS, then NPerThread can be different from NPerBlock
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static_assert(NPerBlock % NPerThread == 0, "wrong! NPerBlock % NPerThread !=0");
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static_assert((NPerThread < NPerBlock && WoPerThread == 1) || NPerThread == NPerBlock,
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"wrong!");
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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_chwn_global_desc = InGlobalDesc{};
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constexpr auto wei_csrk_global_desc = WeiGlobalDesc{};
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constexpr auto out_khwn_global_desc = OutGlobalDesc{};
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constexpr unsigned C = in_chwn_global_desc.GetLength(I0);
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constexpr unsigned K = out_khwn_global_desc.GetLength(I0);
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constexpr unsigned Ho = out_khwn_global_desc.GetLength(I1);
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constexpr unsigned Wo = out_khwn_global_desc.GetLength(I2);
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constexpr unsigned N = out_khwn_global_desc.GetLength(I3);
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constexpr unsigned S = wei_csrk_global_desc.GetLength(I1);
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constexpr unsigned R = wei_csrk_global_desc.GetLength(I2);
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constexpr unsigned HiPerBlock = HoPerBlock + S - 1;
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constexpr unsigned WiPerBlock = WoPerBlock + R - 1;
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// divide block work: [K, Ho, Wo, N]
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constexpr unsigned KBlockWork = (K + KPerBlock - 1) / KPerBlock;
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constexpr unsigned HBlockWork = (Ho + HoPerBlock - 1) / HoPerBlock;
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constexpr unsigned WBlockWork = (Wo + WoPerBlock - 1) / WoPerBlock;
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constexpr unsigned NBlockWork = (N + NPerBlock - 1) / NPerBlock;
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const unsigned k_block_work_id = get_block_1d_id() / (HBlockWork * WBlockWork * NBlockWork);
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unsigned itmp = get_block_1d_id() - k_block_work_id * (HBlockWork * WBlockWork * NBlockWork);
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const unsigned h_block_work_id = itmp / (WBlockWork * NBlockWork);
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itmp -= h_block_work_id * (WBlockWork * NBlockWork);
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const unsigned w_block_work_id = itmp / NBlockWork;
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const unsigned n_block_work_id = itmp - w_block_work_id * NBlockWork;
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const unsigned k_block_data_begin = k_block_work_id * KPerBlock;
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const unsigned ho_block_data_begin = h_block_work_id * HoPerBlock;
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const unsigned wo_block_data_begin = w_block_work_id * WoPerBlock;
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const unsigned n_block_data_begin = n_block_work_id * NPerBlock;
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const unsigned hi_block_data_begin = ho_block_data_begin;
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const unsigned wi_block_data_begin = wo_block_data_begin;
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// tensor view of blockwise input and weight in LDS
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constexpr auto in_chwn_block_desc =
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make_ConstantTensorDescriptor(Sequence<CPerBlock, HiPerBlock, WiPerBlock, NPerBlock>{});
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constexpr auto wei_csrk_block_desc =
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make_ConstantTensorDescriptor(Sequence<CPerBlock, S, R, KPerBlock>{});
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// tensor view of threadwise output in register
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constexpr auto out_hkwn_thread_desc =
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make_ConstantTensorDescriptor(Sequence<HoPerThread, KPerThread, WoPerThread, NPerThread>{});
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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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{
|
||||
print_ConstantTensorDescriptor(in_nchw_block_desc, "in_nchw_block_desc");
|
||||
print_ConstantTensorDescriptor(in_chwn_block_desc, "in_chwn_block_desc");
|
||||
|
||||
print_ConstantTensorDescriptor(wei_srck_block_desc, "wei_srck_block_desc");
|
||||
|
||||
print_ConstantTensorDescriptor(out_hkwn_thread_desc, "out_hkwn_thread_desc");
|
||||
}
|
||||
#endif
|
||||
|
||||
// blockwise copy
|
||||
// input: format is [C, Hi, Wi, N]
|
||||
constexpr auto blockwise_in_copy =
|
||||
blockwise_4d_tensor_copy_1<BlockSize,
|
||||
Float,
|
||||
decltype(in_chwn_global_desc),
|
||||
decltype(in_chwn_block_desc),
|
||||
decltype(in_chwn_block_desc.GetLengths())>{};
|
||||
|
||||
// weight: format is [S,R,C,K]
|
||||
constexpr auto blockwise_wei_copy =
|
||||
blockwise_4d_tensor_copy_1<BlockSize,
|
||||
Float,
|
||||
decltype(wei_csrk_global_desc),
|
||||
decltype(wei_csrk_block_desc),
|
||||
decltype(wei_csrk_block_desc.GetLengths())>{};
|
||||
|
||||
// a series of blockwise batched GEMM
|
||||
// C_matrix += transpose(A_matrix) * B_matrix
|
||||
// A_matrix and B_matrix saved in LDS, C_matrix saved in register
|
||||
// A_matrix[C,K] is a sub-matrix of wei_block[S,R,C,K]
|
||||
// B_matrix[C,Wo*N] is a sub-matrix of in_block[C,Hi,Wi,N]
|
||||
// C_matrix[K,Wo*N] is a sub-matrix of out_block[Ho,K,Wo,N]
|
||||
const auto a_cxk_block_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<CPerBlock>{},
|
||||
Number<KPerBlock>{},
|
||||
Number<wei_csrk_block_desc.GetStride(I0)>{}); // constexpr doesn't compile
|
||||
|
||||
const auto b_cxwn_block_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<CPerBlock>{},
|
||||
Number<WoPerBlock * NPerBlock>{},
|
||||
Number<in_chwn_block_desc.GetStride(I0)>{}); // constexpr doesn't compile
|
||||
|
||||
const auto c_kxwn_thread_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<KPerThread>{}, Number<WoPerThread * NPerThread>{}); // constexpr doesn't compile
|
||||
|
||||
const auto blockwise_batch_gemm =
|
||||
blockwise_1d_strided_batched_gemm_block_a_block_b_thread_c<BlockSize,
|
||||
decltype(a_cxk_block_mtx_desc),
|
||||
decltype(b_cxwn_block_mtx_desc),
|
||||
decltype(c_kxwn_thread_mtx_desc),
|
||||
true,
|
||||
false,
|
||||
false,
|
||||
0,
|
||||
in_chwn_block_desc.GetStride(I1),
|
||||
out_hkwn_thread_desc.GetStride(
|
||||
I0),
|
||||
HoPerBlock,
|
||||
HoPerThread,
|
||||
CPerThread,
|
||||
true>{};
|
||||
|
||||
// LDS
|
||||
constexpr unsigned in_block_size = in_chwn_block_desc.GetElementSpace();
|
||||
constexpr unsigned wei_block_size = wei_csrk_block_desc.GetElementSpace();
|
||||
|
||||
__shared__ Float p_in_block[in_block_size];
|
||||
__shared__ Float p_wei_block[wei_block_size];
|
||||
|
||||
// register
|
||||
Float p_out_thread[out_hkwn_thread_desc.GetElementSpace()];
|
||||
|
||||
// set threadwise output tensor to 0
|
||||
threadwise_4d_tensor_set_zero(out_hkwn_thread_desc, p_out_thread);
|
||||
|
||||
for(unsigned c_block_data_begin = 0; c_block_data_begin < C;
|
||||
c_block_data_begin += CPerBlock, __syncthreads())
|
||||
{
|
||||
#if 1
|
||||
// input: global mem to LDS,
|
||||
blockwise_in_copy.run(p_in_global + in_chwn_global_desc.Get1dIndex(c_block_data_begin,
|
||||
hi_block_data_begin,
|
||||
wi_block_data_begin,
|
||||
n_block_data_begin),
|
||||
p_in_block);
|
||||
#endif
|
||||
|
||||
#if 1
|
||||
// weight: global mem to LDS,
|
||||
blockwise_wei_copy.run(p_wei_global + wei_csrk_global_desc.Get1dIndex(
|
||||
c_block_data_begin, 0, 0, k_block_data_begin),
|
||||
p_wei_block);
|
||||
#endif
|
||||
|
||||
__syncthreads();
|
||||
|
||||
// a series of batched GEMM
|
||||
for(unsigned s = 0; s < S; ++s)
|
||||
{
|
||||
for(unsigned r = 0; r < R; ++r)
|
||||
{
|
||||
auto f_accum = [](auto& acc, const auto&& v) { acc += v; };
|
||||
|
||||
blockwise_batch_gemm.run(p_wei_block + wei_csrk_block_desc.Get1dIndex(0, s, r, 0),
|
||||
p_in_block + in_chwn_block_desc.Get1dIndex(0, s, r, 0),
|
||||
p_out_thread,
|
||||
f_accum);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const auto matrix_c_index =
|
||||
blockwise_batch_gemm.CalculateThreadMatrixCIndex(get_thread_local_1d_id());
|
||||
|
||||
const unsigned ho_thread_data_begin = matrix_c_index.batch_begin;
|
||||
const unsigned k_thread_data_begin = matrix_c_index.row_begin;
|
||||
const unsigned wo_thread_data_begin = matrix_c_index.col_begin / NPerBlock;
|
||||
const unsigned n_thread_data_begin =
|
||||
matrix_c_index.col_begin - wo_thread_data_begin * NPerBlock;
|
||||
|
||||
#if 0
|
||||
printf("block %u %u, %u %u %u %u, %u %u %u %u, %f \n",
|
||||
get_block_1d_id(), get_thread_local_1d_id(),
|
||||
ho_block_data_begin, k_block_data_begin, wo_block_data_begin, n_block_data_begin,
|
||||
ho_thread_data_begin, k_thread_data_begin, wo_thread_data_begin, n_thread_data_begin,
|
||||
p_out_thread[0]);
|
||||
#endif
|
||||
|
||||
// output: register to global mem,
|
||||
// convert out_thread[Ho,K,Wo,N] to out_global[K,Ho,Wo,N]
|
||||
constexpr auto reorder_khwn_from_hkwn = Sequence<1, 0, 2, 3>{};
|
||||
|
||||
threadwise_4d_tensor_copy_reorder_by_get_dst_from_src(
|
||||
out_hkwn_thread_desc,
|
||||
p_out_thread,
|
||||
out_khwn_global_desc,
|
||||
p_out_global + out_khwn_global_desc.Get1dIndex(k_block_data_begin + k_thread_data_begin,
|
||||
ho_block_data_begin + ho_thread_data_begin,
|
||||
wo_block_data_begin + wo_thread_data_begin,
|
||||
n_block_data_begin + n_thread_data_begin),
|
||||
out_hkwn_thread_desc.GetLengths(),
|
||||
reorder_khwn_from_hkwn);
|
||||
}
|
||||
@@ -162,7 +162,7 @@ gridwise_implicit_gemm_convolution_1_nchw_srck_nkhw(InGlobalDesc,
|
||||
for(unsigned c_block_data_begin = 0; c_block_data_begin < in_nchw_global_desc.GetLength(I1);
|
||||
c_block_data_begin += CPerBlock, __syncthreads())
|
||||
{
|
||||
#if 1
|
||||
#if 0
|
||||
// input: global mem to LDS,
|
||||
// convert [N,C,Hi,Wi] to [C,Hi,Wi,N]
|
||||
blockwise_4d_tensor_copy_reorder_by_get_dst_from_src<BlockSize>(
|
||||
@@ -177,7 +177,7 @@ gridwise_implicit_gemm_convolution_1_nchw_srck_nkhw(InGlobalDesc,
|
||||
reorder_chwn_from_nchw);
|
||||
#endif
|
||||
|
||||
#if 1
|
||||
#if 0
|
||||
// weight: global mem to LDS,
|
||||
// format is [S,R,C,K], no conversion needed
|
||||
blockwise_wei_copy.run(p_wei_global + wei_srck_global_desc.Get1dIndex(
|
||||
|
||||
Reference in New Issue
Block a user