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https://github.com/ROCm/composable_kernel.git
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2-type implicit gemm using chwn
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263
driver/device_implicit_gemm_convolution_2_chwn_csrk_khwn.hpp
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263
driver/device_implicit_gemm_convolution_2_chwn_csrk_khwn.hpp
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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_chwn_csrk_khwn_lds_double_buffer.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_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 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_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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make_ParallelTensorFunctor(
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[&](auto n, auto c, auto hi, auto wi) { in_chwn(c, hi, wi, n) = in_nchw(n, c, hi, wi); },
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N,
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C,
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Hi,
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Wi)(std::thread::hardware_concurrency());
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// convert wei_kcsr to wei_csrk
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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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make_ParallelTensorFunctor(
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[&](auto k, auto c, auto s, auto r) { wei_csrk(c, s, r, k) = wei_kcsr(k, c, s, r); },
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K,
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C,
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S,
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R)(std::thread::hardware_concurrency());
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// conver out_nkhw to out_knhw
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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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#if 0
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// 3x3, 34x34
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// need to use register double buffer for GEMM
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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 = 8;
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constexpr unsigned KPerThread = 8;
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constexpr unsigned GemmMPerThreadSubC = 4;
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constexpr unsigned GemmNPerThreadSubC = 4;
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constexpr unsigned GemmMLevel0Cluster = 4;
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constexpr unsigned GemmNLevel0Cluster = 2;
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constexpr unsigned GemmMLevel1Cluster = 2;
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constexpr unsigned GemmNLevel1Cluster = 8;
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constexpr unsigned GemmKPerThreadLoop = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 8;
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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 WeiBlockCopyThreadPerDim0 = 4;
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constexpr unsigned WeiBlockCopyThreadPerDim1 = 16;
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constexpr unsigned InBlockCopyDataPerRead = 4;
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constexpr unsigned WeiBlockCopyDataPerRead = 4;
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constexpr unsigned BlockSize = 128;
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#elif 0
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// 1x1, 28x28, 64 threads
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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 = 8;
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constexpr unsigned KPerThread = 8;
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constexpr unsigned GemmMPerThreadSubC = 4;
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constexpr unsigned GemmNPerThreadSubC = 4;
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constexpr unsigned GemmMLevel0Cluster = 4;
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constexpr unsigned GemmNLevel0Cluster = 2;
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constexpr unsigned GemmMLevel1Cluster = 2;
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constexpr unsigned GemmNLevel1Cluster = 4;
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constexpr unsigned GemmKPerThreadLoop = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 8;
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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 WeiBlockCopyThreadPerDim0 = 4;
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constexpr unsigned WeiBlockCopyThreadPerDim1 = 16;
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constexpr unsigned InBlockCopyDataPerRead = 4;
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constexpr unsigned WeiBlockCopyDataPerRead = 4;
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constexpr unsigned BlockSize = 64;
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#elif 1
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// 1x1, 28x28, 128 threads, no lds-double-buffer
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// 1x1, 28x28, 128 threads, with lds-double-buffer, max_register = 128
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constexpr unsigned BPerBlock = 64;
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constexpr unsigned KPerBlock = 128;
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constexpr unsigned CPerBlock = 8;
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constexpr unsigned BPerThread = 8;
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constexpr unsigned KPerThread = 8;
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constexpr unsigned GemmMPerThreadSubC = 4;
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constexpr unsigned GemmNPerThreadSubC = 4;
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constexpr unsigned GemmMLevel0Cluster = 4;
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constexpr unsigned GemmNLevel0Cluster = 2;
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constexpr unsigned GemmMLevel1Cluster = 4;
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constexpr unsigned GemmNLevel1Cluster = 4;
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constexpr unsigned GemmKPerThreadLoop = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 8;
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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 WeiBlockCopyThreadPerDim0 = 4;
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constexpr unsigned WeiBlockCopyThreadPerDim1 = 16;
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constexpr unsigned InBlockCopyDataPerRead = 4;
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constexpr unsigned WeiBlockCopyDataPerRead = 4;
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constexpr unsigned BlockSize = 128;
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#elif 1
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// 1x1, 28x28, 256 thread
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constexpr unsigned BPerBlock = 128;
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constexpr unsigned KPerBlock = 128;
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constexpr unsigned CPerBlock = 8;
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constexpr unsigned BPerThread = 8;
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constexpr unsigned KPerThread = 8;
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constexpr unsigned GemmMPerThreadSubC = 4;
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constexpr unsigned GemmNPerThreadSubC = 4;
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constexpr unsigned GemmMLevel0Cluster = 4;
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constexpr unsigned GemmNLevel0Cluster = 4;
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constexpr unsigned GemmMLevel1Cluster = 4;
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constexpr unsigned GemmNLevel1Cluster = 4;
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constexpr unsigned GemmKPerThreadLoop = 1;
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constexpr unsigned GemmThreadPerColumnPerCluster = 8;
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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 WeiBlockCopyThreadPerDim0 = 4;
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constexpr unsigned WeiBlockCopyThreadPerDim1 = 16;
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constexpr unsigned InBlockCopyDataPerRead = 4;
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constexpr unsigned WeiBlockCopyDataPerRead = 4;
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constexpr unsigned BlockSize = 256;
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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_chwn_device_buf(data_sz * (in_chwn.mDesc.GetElementSpace() + BGhostRead +
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BPerBlock)); // reserve extra space for BGhostRead
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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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for(unsigned i = 0; i < nrepeat; ++i)
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{
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float time = launch_kernel(
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#if 0
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gridwise_implicit_gemm_convolution_2_chwn_csrk_khwn
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#else
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gridwise_implicit_gemm_convolution_2_chwn_csrk_khwn_lds_double_buffer
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#endif
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<GridSize,
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BlockSize,
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T,
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decltype(in_chwn_desc),
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decltype(wei_csrk_desc),
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decltype(out_khwn_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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GemmThreadPerColumnPerCluster,
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GemmThreadPerRowPerCluster,
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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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InBlockCopyThreadPerDim0,
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InBlockCopyThreadPerDim1,
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WeiBlockCopyThreadPerDim0,
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WeiBlockCopyThreadPerDim1,
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InBlockCopyDataPerRead,
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WeiBlockCopyDataPerRead>,
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dim3(GridSize),
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dim3(BlockSize),
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static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
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static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer()),
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static_cast<T*>(out_khwn_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_khwn_device_buf.FromDevice(out_khwn.mData.data());
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// convert out_khwn to out_nkhw
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make_ParallelTensorFunctor(
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[&](auto n, auto k, auto ho, auto wo) { out_nkhw(n, k, ho, wo) = out_khwn(k, ho, wo, n); },
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N,
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K,
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Ho,
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Wo)(std::thread::hardware_concurrency());
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}
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@@ -13,6 +13,7 @@
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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_csrk_knhw.hpp"
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#include "device_implicit_gemm_convolution_2_chwn_csrk_khwn.hpp"
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//#include "device_winograd_convolution.hip.hpp"
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struct GeneratorTensor_1
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@@ -594,8 +595,10 @@ 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 1
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#elif 0
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device_implicit_gemm_convolution_2_cnhw_csrk_knhw
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#elif 1
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device_implicit_gemm_convolution_2_chwn_csrk_khwn
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#endif
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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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@@ -611,7 +614,7 @@ int main()
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nrepeat);
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#endif
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#if 0
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#if 1
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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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