carpedm20 / carpedm20/ENAS-pytorch
Hidden State of RNN (not averaged ?)
- Dominant language
- Python
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- 2.7k
- Forks
- 486
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Description
Hello guys ,
Thank you very much for this work 👍 ! I have a quick question about the code :
Why in the cell method you output `output, h[self.args.num_blocks - 1]`. It looks like the h is only one loose end , whereas in the paper it looks like h = output = average over the loose ends.
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Research direction
Start by reading the cell method, especially the `output, h[self.args.num_blocks - 1]` return expression, and compare it with the paper's description of averaging over loose ends. Determine whether the implementation and paper differ; done means the behavior is explained or the issue is clarified with a reproducible conclusion.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100