bnlstm.py 文件源码

def __init__(self, input_size, hidden_size, use_bias=True):
        """
        Most parts are copied from torch.nn.LSTMCell.
        """

        super(LSTMCell, self).__init__()
        self.input_size = input_size
        self.hidden_size = hidden_size
        self.use_bias = use_bias
        self.weight_ih = nn.Parameter(
            torch.FloatTensor(input_size, 4 * hidden_size))
        self.weight_hh = nn.Parameter(
            torch.FloatTensor(hidden_size, 4 * hidden_size))
        if use_bias:
            self.bias = nn.Parameter(torch.FloatTensor(4 * hidden_size))
        else:
            self.register_parameter('bias', None)
        self.reset_parameters()