Handle tied + dimensions mismatch (pytorch#124)

Author: nadavbh12

word_language_model/model.py

@@ -26,6 +26,8 @@ def __init__(self, rnn_type, ntoken, ninp, nhid, nlayers, dropout=0.5, tie_weigh
  # "Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling" (Inan et al. 2016)
  # https://arxiv.org/abs/1611.01462
  if tie_weights:
+ if nhid != ninp:
+ raise ValueError('When using the tied flag, nhid must be equal to emsize')
  self.decoder.weight = self.encoder.weight
 
  self.init_weights()