Method addConvolutionNd

include/NvInfer.h:7778–7782

\brief Add a multi-dimension 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 multi-dimensions of the convolution kernel. \param kernelWeights The kernel weights for the convolution. \param biasWeights The bias weights for the convolution. Weights{} represents no bia

    //! \return The new convolution layer, or nullptr if it could not be created.
    //!
    IConvolutionLayer* addConvolutionNd(
        ITensor& input, int32_t nbOutputMaps, Dims kernelSize, Weights kernelWeights, Weights biasWeights) noexcept
    {
        return mImpl->addConvolutionNd(input, nbOutputMaps, kernelSize, kernelWeights, biasWeights);
    }

    //!
    //! \brief Add a multi-dimension pooling layer to the network.