gistfile1.txt

Traceback (most recent call last):
  File "main.py", line 173, in <module>
    train()
  File "main.py", line 140, in train
    output, hidden = model(data, hidden)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 225, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/conner/programming/learned_activations/experiments/word_language_model/model.py", line 57, in forward
    output, hidden = self.rnn(emb, hidden)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 225, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/learned_activations/recurrent.py", line 206, in forward
    cell=self.cells[layer], input_=input_, length=length, hx=hx)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/learned_activations/recurrent.py", line 180, in _forward_rnn
    h_next, c_next = cell(input_=input_[time], hx=hx)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 225, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/learned_activations/recurrent.py", line 135, in forward
    c_1 = self.sigmoid_1(f) * c_0 + self.sigmoid_1(i) * self.tahn_1(g)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 225, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/learned_activations/activations.py", line 44, in forward
    x = self.normalize_1(x)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 225, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/learned_activations/activations.py", line 20, in forward
    return self.gamma * (x - mean) / (std + self.eps) + self.beta
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/autograd/variable.py", line 793, in __sub__
    return self.sub(other)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/autograd/variable.py", line 304, in sub
    return self._sub(other, False)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/autograd/variable.py", line 298, in _sub
    return Sub.apply(self, other, inplace)
  File "/home/conner/anaconda3/lib/python3.6/site-packages/torch/autograd/_functions/basic_ops.py", line 34, in forward
    return a.sub(b)
RuntimeError: inconsistent tensor size, expected r_ [4000 x 25], t [4000 x 25] and src [4000] to have the same number of elements, but got 100000, 100000 and 4000 elements respectively at /home/conner/programming/pytorch/torch/lib/TH/generic/THTensorMath.c:887