OpenImagingLab / OpenImagingLab/FlashVSR
RTX4090 results
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- Python
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Description
Managed to install and run FlashVSR on my GPU in Windows. It's working :-)
4x upscale of example videos from this repository uses shared VRAM on my system therefore it's slow.
2x upscale fit in the 24GB VRAM, therefore it's fast,
I am getting this waring during interference:
UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\torch\csrc\utils\tensor_numpy.cpp:209.)
upscale_x4_tiny_log.txt
upscsale_x2_tiny_log.txt
Is there something I can do about this warning ?
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start with the attached upscale_x4_tiny_log.txt and upscsale_x2_tiny_log.txt files, then reproduce the warning on the Windows RTX4090 setup described in the issue. Trace the non-writable NumPy array conversion that produces the PyTorch warning; the work is done when the warning is addressed without breaking the reported 2x and 4x upscaling runs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100