\brief Add a convolution layer to the network. \param input The input tensor to the convolution. \param nbOutputMaps The number of output feature maps for the convolution. \param kernelSize The HW-dimensions of the convolution kernel. \param kernelWeights The kernel weights for the convolution. \param biasWeights The bias weights for the convolution. Weights{} represents no bias. \see IConvoluti
| 6939 | //! \deprecated Superseded by addConvolutionNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0 |
| 6940 | //! |
| 6941 | TRT_DEPRECATED IConvolutionLayer* addConvolution( |
| 6942 | ITensor& input, int32_t nbOutputMaps, DimsHW kernelSize, Weights kernelWeights, Weights biasWeights) noexcept |
| 6943 | { |
| 6944 | return mImpl->addConvolution(input, nbOutputMaps, kernelSize, kernelWeights, biasWeights); |
| 6945 | } |
| 6946 | |
| 6947 | //! |
| 6948 | //! \brief Add a fully connected layer to the network. |
no outgoing calls
no test coverage detected