lxtGH / lxtGH/OctaveConv_pytorch
there is a problem in "upsample"
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- Dominant language
- Python
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- 581
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Description
```
X_h = X_l2h + X_h2h
RuntimeError: The size of tensor a (6) must match the size of tensor b (7) at non-singleton dimension 3
```
because X_l comes from X_h throgh AvgPooling , when H×W=7×7, the output is 3×3.Through upsample, the result is 6×6, not 7×7
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First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Locate the upsample operation and the pooling path that produces the low-resolution tensor, then reproduce the issue with a 7×7 input. Verify that the upsampled tensor matches the high-resolution tensor dimensions and that the addition no longer raises the reported runtime error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100