Traceback (most recent call last):
File “test_fusion.py”, line 139, in 
rst = eval_video((i, data, label))
File “test_fusion.py”, line 123, in eval_video
rst = net(input_var)
File “/home/rusu5516/.local/lib/python2.7/site-packages/torch/nn/modules/module.py”, line 224, in call
result = self.forward(*input, **kwargs)
File “/home/rusu5516/.local/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py”, line 60, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File “/home/rusu5516/.local/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py”, line 70, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File “/home/rusu5516/.local/lib/python2.7/site-packages/torch/nn/parallel/parallel_apply.py”, line 67, in parallel_apply
raise output
RuntimeError: invalid argument 3: sizes do not match at /pytorch/torch/lib/THC/generated/…/generic/THCTensorMathPointwise.cu:217

like this error message. I have no idea in which layer of my model raise this error. but if I do not use DataParallel It would show in which line of my code produce this error