Getting error running infersent.py

[fabrahman]

Hi, I am getting the following error which I believe has something to do with cuda and cpu version. Anyone face the same problem? I would appreciate help.

Traceback (most recent call last):
  File "infersent.py", line 76, in <module>
    results = se.eval(transfer_tasks)
  File "../senteval/engine.py", line 59, in eval
    self.results = {x: self.eval(x) for x in name}
  File "../senteval/engine.py", line 59, in <dictcomp>
    self.results = {x: self.eval(x) for x in name}
  File "../senteval/engine.py", line 121, in eval
    self.results = self.evaluation.run(self.params, self.batcher)
  File "../senteval/mrpc.py", line 74, in run
    embeddings = batcher(params, batch)
  File "infersent.py", line 43, in batcher
    embeddings = params.infersent.encode(sentences, bsize=params.batch_size, tokenize=False)
  File "/tilde/fbrahman/parc/SentEval/examples/models.py", line 226, in encode
    (batch, lengths[stidx:stidx + bsize])).data.cpu().numpy()
  File "/tilde/fbrahman/parc/SentEval/examples/models.py", line 68, in forward
    sent_output = self.enc_lstm(sent_packed)[0]  # seqlen x batch x 2*nhid
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in __call__
    result = self.forward(*input, **kwargs)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/modules/rnn.py", line 192, in forward
    output, hidden = func(input, self.all_weights, hx, batch_sizes)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 324, in forward
    return func(input, *fargs, **fkwargs)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 244, in forward
    nexth, output = func(input, hidden, weight, batch_sizes)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 87, in forward
    hy, output = inner(input, hidden[l], weight[l], batch_sizes)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 159, in forward
    hidden = inner(step_input, hidden, *weight)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 34, in LSTMCell
    gates = F.linear(input, w_ih, b_ih) + F.linear(hx, w_hh, b_hh)
  File "/tilde/fbrahman/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/functional.py", line 1024, in linear
    return torch.addmm(bias, input, weight.t())
RuntimeError: Expected object of type torch.cuda.FloatTensor but found type torch.FloatTensor for argument #4 'mat1'

[fabrahman]

I tried degrading pytorch to version 0.3.1 and I did not get this error anymore, however, with that version I am getting error with data.items() as follows:

Traceback (most recent call last):
  File "bow.py", line 111, in <module>
    results = se.eval(transfer_tasks)
  File "../senteval/engine.py", line 59, in eval
    self.results = {x: self.eval(x) for x in name}
  File "../senteval/engine.py", line 59, in <dictcomp>
    self.results = {x: self.eval(x) for x in name}
  File "../senteval/engine.py", line 121, in eval
    self.results = self.evaluation.run(self.params, self.batcher)
  File "../senteval/mrpc.py", line 99, in run
    devacc, testacc, yhat = clf.run()
  File "../senteval/tools/validation.py", line 150, in run
    clf.fit(X_train, y_train, validation_data=(X_test, y_test))
  File "../senteval/tools/classifier.py", line 78, in fit
    self.trainepoch(trainX, trainy, epoch_size=self.epoch_size)
  File "../senteval/tools/classifier.py", line 108, in trainepoch
    all_costs.append(loss.data.item())
AttributeError: 'torch.cuda.FloatTensor' object has no attribute 'item'

[aconneau]

Hi,

thanks for flagging this error. I think this is related to a recent fix in InferSent:

facebookresearch/InferSent@b303643

If you pull again InferSent and incorporate the changes in the commit above about models.py, it should fix your problem.

Thanks