Hi smth,
That’d be great. I’ve created this repo with the snli mode from pytorch examples and the dockerfile I used: https://github.com/OanaCamburu/cudnn_issue 181
I’ve got the following error this time:
55901af1922b:/home/trial$ python train.py 
downloading
extracting
downloading word vectors from http://nlp.stanford.edu/data/glove.42B.300d.zip
glove.42B.300d: 100%|████████████████████████████████████████████████████████████████████████████████████████████▉| 1.88G/1.88G [02:32<00:00, 8.12MB/s]extracting word vectors into /home/trial/.data_cache
glove.42B.300d: 1.88GB [03:26, 9.07MB/s]                                                                                                               
Loading word vectors from /home/trial/.data_cache/glove.42B.300d.txt
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████| 1917494/1917494 [06:24<00:00, 4987.26it/s]

  Time Epoch Iteration Progress    (%Epoch)   Loss   Dev/Loss     Accuracy  Dev/Accuracy
Traceback (most recent call last):
  File "train.py", line 71, in <module>
    answer = model(batch)
  File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 206, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/trial/model.py", line 71, in forward
    prem_embed = self.relu(self.projection(prem_embed))
  File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 206, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/trial/model.py", line 12, in forward
    out = super(Bottle, self).forward(input.view(size[0]*size[1], -1))
  File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/linear.py", line 54, in forward
    return self._backend.Linear()(input, self.weight, self.bias)
  File "/opt/conda/lib/python3.6/site-packages/torch/nn/_functions/linear.py", line 10, in forward
    output.addmm_(0, 1, input, weight.t())
RuntimeError: cublas runtime error : the GPU program failed to execute at /py/conda-bld/pytorch_1493674854206/work/torch/lib/THC/THCBlas.cu:246

Hope this helps.
Thanks!
Oana