Comments (1)
All the code released is tested, so if you face any error at your end (especially the type of error you faced), it means you didn't go through the documentation carefully. We do not want to help someone who doesn't help himself/herself. Please help yourself by reading the documentation carefully.
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Related Issues (20)
- Problem about the symbol in python data. HOT 2
- Getting the embedding for the sample code HOT 3
- ??md
- Extract the attention weights HOT 3
- Potential Bug iterator Pytorch HOT 1
- RuntimeError: "index_select_out_cuda_impl" not implemented for 'Float While comment generation testing the code HOT 3
- Model is not learning problem HOT 4
- Split decoder HOT 1
- No such file: ../../data/java/test/code.original_subtoken while training a model HOT 3
- Questions about javadoc generation HOT 1
- how to train a model without copy attention? HOT 1
- problem while trying to test the code HOT 2
- Do you have a trained model? HOT 1
- Question about dataset HOT 2
- Project dependencies may have API risk issues
- Model is not learning and is not generating meaningful output HOT 1
- Number of generated samples does not HOT 1
- Couldn't testing after training, error information just like this.... HOT 1
- Question regarding qualitative example from your paper.
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