#ifndef CONV_COMMON_HPP #define CONV_COMMON_HPP #include "tensor_descriptor.hpp" template constexpr auto get_convolution_output_default_4d_tensor_descriptor( const ck::TensorDescriptor& in_desc, const ck::TensorDescriptor& wei_desc, const ConvStrides& conv_strides, const ConvDilations conv_dilations, const LeftPads& left_pads, const RightPads& right_pads) { using namespace ck; constexpr auto I0 = Number<0>{}; constexpr auto I1 = Number<1>{}; constexpr auto I2 = Number<2>{}; constexpr auto I3 = Number<3>{}; assert(in_desc.GetNumOfDimension() == 4); assert(wei_desc.GetNumOfDimension() == 4); assert(in_desc.GetLength(I1) == wei_desc.GetLength(I1)); const auto N = in_desc.GetLength(I0); const auto Hi = in_desc.GetLength(I2); const auto Wi = in_desc.GetLength(I3); const auto K = wei_desc.GetLength(I0); const auto Y = wei_desc.GetLength(I2); const auto X = wei_desc.GetLength(I3); const auto LeftPadH = left_pads[I0]; const auto LeftPadW = left_pads[I1]; const auto RightPadH = right_pads[I0]; const auto RightPadW = right_pads[I1]; const auto YEff = (Y - I1) * conv_dilations[I0] + I1; const auto XEff = (X - I1) * conv_dilations[I1] + I1; const auto Ho = (Hi + LeftPadH + RightPadH - YEff) / conv_strides[I0] + I1; const auto Wo = (Wi + LeftPadW + RightPadW - XEff) / conv_strides[I1] + I1; return make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho, Wo)); } template constexpr std::size_t calculate_convolution_flops(const InDesc&, const WeiDesc& wei_desc, const OutDesc& out_desc) { using namespace ck; constexpr auto I0 = Number<0>{}; constexpr auto I1 = Number<1>{}; constexpr auto I2 = Number<2>{}; constexpr auto I3 = Number<3>{}; const index_t N = out_desc.GetLength(I0); const index_t K = out_desc.GetLength(I1); const index_t Ho = out_desc.GetLength(I2); const index_t Wo = out_desc.GetLength(I3); const index_t C = wei_desc.GetLength(I1); const index_t Y = wei_desc.GetLength(I2); const index_t X = wei_desc.GetLength(I3); return std::size_t(2) * N * K * Ho * Wo * C * Y * X; } #endif