def __init__(self, args):
super(LSTM, self).__init__(
# RNN
LSTM=L.LSTM(args.n_in_units, args.n_units),
#W_predict=L.Linear(args.n_units, args.n_units),
W_candidate=L.Linear(args.n_in_units, args.n_units),
)
#self.act1 = F.tanh
self.act1 = F.identity
self.args = args
self.n_in_units = args.n_in_units
self.n_units = args.n_units
self.dropout_ratio = args.d_ratio
self.margin = args.margin
self.initialize_parameters()
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