torch.nn.RNN.forward
RNN.forward<D extends DType = DType, Dev extends DeviceType = DeviceType>(input: Tensor<Shape, D, Dev>, options?: { hx?: Tensor }): [Tensor<Shape, D, Dev>, Tensor<Shape, D, Dev>]Forward pass for multi-layer RNN.
Parameters
options{ hx?: Tensor }optional- Options for the forward pass: -
hx: Initial hidden state [num_layers*num_dirs, batch, hidden_size] (default: zeros)