Support for Multi-GPU?
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- Dominant language
- Python
- Stars
- 1k
- Forks
- 131
- PR merge metrics
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Description
Hi! Amazing repo with very easy to use code and instructions. Thank you for sharing this with the community!
I was wondering if there will be support for multi-gpu in the future for frame interpolation (and potentially super resolution once SAFA is complete). Maybe something using torch.nn.Parallel?
I'm currently using 2 RTX 3090 with a AMD Ryzen 9 5950X 16-Core Processor - processing time on a video for frame interpolation is roughtly 50% of the total duration with model 4.18 for general video content. Eg. 30min video processed in ~15 mins.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The request concerns multi-GPU frame interpolation and mentions torch.nn.Parallel, but names no files, tests, or entry points. Begin by locating the frame-interpolation execution path and reviewing how the model currently uses a device. Done would require an agreed multi-GPU design, implementation scope, and validation of processing behavior across two GPUs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100