Comments (7)
Hi, I am unable to reproduce the error that you reported. On my side, the codebase in the current repository works fine. Can you clone the repo from latent commit and try one more time?
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ok, now I am solving this problem by downloading the dataset manually.Thank you very much
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Hi , I am process the code.original to code.original_subtoken, it will be great if you can provide me with the source code, I am doing some other experiments on it.
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How to generate a summary on a given file using the trained model?
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Please checkout the bash scripts. You can either run the greedy test or beam search test (or both too) by placing the trained model in the appropriate location.
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Given a piece of code, how do i create subtokens for it in order to augment the dataset?
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Given a piece of code, how do I create subtokens for it in order to augment the dataset?
Please see the code_tokenizer to see how we performed sub-tokenization.
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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
- code.original_subtoken file not found HOT 1
- ??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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