code: def lstm_hidden_bias(tensor: torch.Tensor) -> None:
      
      # gates are (b_hi|b_hf|b_hg|b_ho) of shape (4*hidden_size)
      tensor.data.zero_()
      hidden_size = tensor.shape[0] // 4
      tensor.data[hidden_size:(2 * hidden_size)] = 1.0
docs: Initialize the biases of the forget gate to 1, and all other gates to 0,
      following Jozefowicz et al., An Empirical Exploration of Recurrent Network Architectures