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tuning on vega 20
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@@ -371,7 +371,7 @@ void host_winograd_3x3_convolution(const Tensor<TIn>& in_nchw,
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std::size_t ho = HoPerTile * htile + j;
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for(int i = 0; i < WoPerTile; ++i)
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{
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std::size_t wo = WoPerTile * wtile + i;
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std::size_t wo = WoPerTile * wtile + i;
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out_nkhw(n, k, ho, wo) = out_hold(n, k, htile, wtile, j, i);
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}
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}
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@@ -425,13 +425,13 @@ int main(int argc, char* argv[])
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constexpr index_t WPad = 0;
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#elif 0
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// 3x3, 56x56
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constexpr index_t N = 64;
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constexpr index_t C = 64;
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constexpr index_t N = 64;
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constexpr index_t C = 64;
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constexpr index_t HI = 56;
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constexpr index_t WI = 56;
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constexpr index_t K = 128;
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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 K = 128;
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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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@@ -603,9 +603,9 @@ int main(int argc, char* argv[])
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device_direct_convolution_2_nchw_kcyx_nkhw
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#elif 0
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device_direct_convolution_2_vectorized_nchw_kcyx_nkhw
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#elif 0
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#elif 1
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device_convolution_implicit_gemm_v1_chwn_cyxk_khwn
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#elif 0
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#elif 1
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device_convolution_implicit_gemm_v1_nchw_cyxk_khwn
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#elif 1
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device_convolution_implicit_gemm_v1_nchw_cyxk_nkhw
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