Got wrong answer when converting from torch7

I have converted a model from crnn in torch7 (https://github.com/bgshih/crnn), but the predictions are completely wrong. How can I debug it?
I want to print the tensor value in each layer in torch7 and compare it with pytorch, but it seems that there is no print layer in torch7. Now I am trying to load the model in torch and remove some layers to get the output. Is there any better idea?

Did you make sure to set your model to evaluation with model.eval() before comparing its output to the torch7 model?
I think in torch7 you can just print the output of each layer.
Could you try to call this, if you used a Sequential model:

net.modules[n].output

It turns out my input is not correct, thanks!