OpenImagingLab / OpenImagingLab/FlashVSR
2X Upscaling Error in A-100
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- Dominant language
- Python
- Stars
- 1.9k
- Forks
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Description
Log Details:
- Video URL: Provided in payload
- Seed: 374941, Scale: 2.0, Sparse Ratio: 2.0
- Original Resolution: 1920x1080, Frames: 150, FPS: 30
- Scaled Resolution: 3840x2160 -> Target 3840x2048
Warning Observed:
UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors.
(tensor_numpy.cpp:203)
Steps to Reproduce:
- Send POST request to
/upscale-videoendpoint with payload containing video URL. - Observe the server logs.
- Endpoint returns 500 Internal Server Error.
Screenshot / Log:
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the /upscale-video POST entry point and reproduce the request using the reported 1920x1080 video, scale 2.0, and sparse ratio 2.0. Inspect the server traceback and the NumPy/PyTorch non-writable-array warning to identify why the request returns 500. Done means the same upscale request completes without a 500 error and the relevant logs no longer show the failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100