Method addRNNv2

include/NvInfer.h:7541–7545

\brief Add an \p layerCount deep RNN layer to the network with \p hiddenSize internal states that can take a batch with fixed or variable sequence lengths. \param input The input tensor to the layer (see below). \param layerCount The number of layers in the RNN. \param hiddenSize Size of the internal hidden state for each layer. \param maxSeqLen Maximum sequence length for the input. \param op Th

    //! \return The new RNN layer, or nullptr if it could not be created.
    //!
    TRT_DEPRECATED IRNNv2Layer* addRNNv2(
        ITensor& input, int32_t layerCount, int32_t hiddenSize, int32_t maxSeqLen, RNNOperation op) noexcept
    {
        return mImpl->addRNNv2(input, layerCount, hiddenSize, maxSeqLen, op);
    }

    //!
    //! \brief Add an identity layer.