def __init__(self, n_input_units=1000,n_vocab=100, n_units=100, train=True):
super(RNNLM, self).__init__(
inputVector= L.Linear(n_input_units, n_units),
embed=L.EmbedID(n_vocab, n_units),
l1=L.LSTM(n_units, n_units),
l2=L.LSTM(n_units, n_units),
l3=L.Linear(n_units, n_vocab),
)
self.train = train
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