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https://github.com/ROCm/composable_kernel.git
synced 2026-05-12 01:10:17 +00:00
implicit gemm v1r2: only load 1d filter
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@@ -35,6 +35,29 @@ struct GeneratorTensor_2
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}
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};
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struct GeneratorTensor_3
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{
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int min_value = 0;
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int max_value = 9;
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template <class... Is>
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double operator()(Is... is)
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{
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std::array<index_t, sizeof...(Is)> dims = {{static_cast<index_t>(is)...}};
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#if 0
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auto f_acc = std::plus<index_t>{};
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#else
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auto f_acc = [](auto a, auto b){ return 10*a + b;};
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#endif
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return std::accumulate(dims.begin(),
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dims.end(),
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index_t(0),
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f_acc);
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}
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};
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struct GeneratorTensor_Checkboard
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{
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template <class... Ts>
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@@ -398,18 +421,7 @@ void check_error(const Tensor<T>& ref, const Tensor<T>& result)
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int main(int argc, char* argv[])
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{
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#if 0
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constexpr index_t N = 1;
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constexpr index_t C = 1;
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constexpr index_t HI = 28;
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constexpr index_t WI = 28;
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constexpr index_t K = 1;
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constexpr index_t Y = 3;
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constexpr index_t X = 3;
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constexpr index_t HPad = 0;
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constexpr index_t WPad = 0;
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#elif 1
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#if 1
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// 3x3, 34x34
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constexpr index_t N = 64;
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constexpr index_t C = 256;
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@@ -656,13 +668,10 @@ int main(int argc, char* argv[])
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#if 0
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in_nchw.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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wei_kcyx.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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#elif 0
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in_nchw.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
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wei_kcyx.GenerateTensorValue(GeneratorTensor_1{}, num_thread);
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#elif 1
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in_nchw.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
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wei_kcyx.GenerateTensorValue(GeneratorTensor_2{-5, 5}, num_thread);
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#elif 0
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#elif 1
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in_nchw.GenerateTensorValue(GeneratorTensor_2{1, 5}, num_thread);
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auto gen_wei = [](auto... is) {
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@@ -681,7 +690,7 @@ int main(int argc, char* argv[])
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device_direct_convolution_2_vectorized_nchw_kcyx_nkhw
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#elif 1
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device_implicit_gemm_convolution_1_chwn_cyxk_khwn
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#elif 1
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#elif 0
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device_implicit_gemm_convolution_2_chwn_cyxk_khwn
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#endif
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(in_nchw_desc, in_nchw, wei_kcyx_desc, wei_kcyx, out_nkhw_desc, out_nkhw_device, nrepeat);
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