def __init__(self, input_size, hidden_size):
super(SentenceEncoder, self).__init__()
self.encoder = StackedBRNN(input_size=input_size,
hidden_size=hidden_size,
num_layers=1,
dropout_rate=0.5,
dropout_output=True,
concat_layers=False,
rnn_type=nn.LSTM,
padding=True)
def __init__(self, args, embed_size):
super(SentenceEncoder, self).__init__()
rnn_type = nn.LSTM if args.rnn_encoder == 'lstm' else nn.GRU
self.encoder = StackedBRNN(input_size=embed_size,
hidden_size=args.hidden_size,
num_layers=args.num_layers,
dropout_rate=args.dropout,
dropout_output=True,
concat_layers=False,
rnn_type=rnn_type,
padding=True)