Traceback (most recent call last):
File “crnn_main.py”, line 217, in 
cost = trainBatch(crnn, criterion, optimizer)
File “crnn_main.py”, line 200, in trainBatch
preds = crnn(image.unsqueeze_(0))
File “/home/jethodh/.local/lib/python3.6/site-packages/torch/nn/modules/module.py”, line 491, in call
result = self.forward(*input, **kwargs)
File “/home/jethodh/Documents/crnn.pytorch-master/models/crnn.py”, line 70, in forward
conv = self.cnn(input)
File “/home/jethodh/.local/lib/python3.6/site-packages/torch/nn/modules/module.py”, line 491, in call
result = self.forward(*input, **kwargs)
File “/home/jethodh/.local/lib/python3.6/site-packages/torch/nn/modules/container.py”, line 91, in forward
input = module(input)
File “/home/jethodh/.local/lib/python3.6/site-packages/torch/nn/modules/module.py”, line 491, in call
result = self.forward(*input, **kwargs)
File “/home/jethodh/.local/lib/python3.6/site-packages/torch/nn/modules/conv.py”, line 301, in forward
self.padding, self.dilation, self.groups)
RuntimeError: expected stride to be a single integer value or a list of 3 values to match the convolution dimensions, but got stride=[1, 1]