def __init__(self, n_enc_vocab, n_dec_vocab, n_hidden, bidirectional,
linearTransform):
super(Seq2SeqRNN_Attention, self).__init__()
self.n_hidden = n_hidden
self.num_directions = 2 if bidirectional is True else 1
self.encoder = nb.RNN(input_size=n_enc_vocab,
hidden_size=n_hidden,
bidirectional=bidirectional)
self.decoder = nb.RNN(input_size=n_dec_vocab,
hidden_size=n_hidden,
bidirectional=bidirectional)
self.attention = nb.AttentionTwo(n_dec_vocab,
n_hidden,
bidirectional=bidirectional,
linearTransform=linearTransform)
def __init__(self, emb_dim,
n_class, n_hidden, bidirectional=False, linearTransform=True):
super(RNN_Attention, self).__init__()
self.n_hidden = n_hidden
self.num_directions = 2 if bidirectional is True else 1
self.rnn = nb.RNN(emb_dim, n_hidden, bidirectional=bidirectional)
self.attention = nb.AttentionOne(n_class, n_hidden,
bidirectional=bidirectional, linearTransform=linearTransform)