#NEWLINE# def __init__( self , n_input_units = 1000 , n_vocab = 100 , n_units = 100 , train = True ) : #NEWLINE# #INDENT# 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 ) ) #NEWLINE# self . train = self