Comments (3)
Hi, I think I have the same issue. It seems to be an error, because IPython is openning when code gets to exception in function forward(self, x, idx) in class Embedding. I do not know why it is getting there, for params.json written by razvanc92, output from line 96 in gan_transformer.py has shape: torch.Size([64, 168, 24])
Did You discovered how avoid this problem?
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Hi, thanks for your code sharing. I tried to run the training process, but I am stuck in many Ipython sections, there is no description about how did you guys use Ipython in the code running process. Could you share this parts also?
I have the same issue, do you konw how to solve the problem now?
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I have the same issue....
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Related Issues (10)
- code HOT 4
- RuntimeError: The size of tensor a (160) must match the size of tensor b (24) at non-singleton dimension 2 HOT 1
- The data set HOT 1
- Params.json example HOT 3
- preprocess_data.py reference
- Code to reproduce experiments
- requirement.txt
- How to update the q90? HOT 1
- There seems to be something wrong with function test() in gan_transformer.py ? HOT 2
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