carpedm20 / carpedm20/ENAS-pytorch
About 1x1 convolution
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- Dominant language
- Python
- Stars
- 2.7k
- Forks
- 486
- PR merge metrics
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Description
Is there any idea about how to deal with 1x1 convolution for channel alignment for parameter sharing CNN? Since the size changes as the graph change.
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Research direction
The issue names no file, test, or entry point to inspect. It asks for an approach to 1x1 convolution and channel alignment in a parameter-sharing CNN, so the first step would be to locate that implementation and establish the expected behavior; completion cannot be defined until an approach is agreed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100