YOLOv7: use the correct version of ONNX Runtime for GPU #6940
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From this link https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements we probably need specific CUDA version compatible with onnx runtime version. My cuda is 12.1 and I got this error. It installed And it requires CUDNN. So, after research:
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Currently, we install plain `onnxruntime`, which means that when the function is deployed with `deploy_gpu.sh`, it ends up using the CPU anyway. `onnxruntime-gpu` depends on a specific version of CUDA, so update the base image and bound the version of the package to avoid mismatches in the future.
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@bsekachev Thanks for the investigation. I updated the PR, could you try it again? |
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Yes, it works in current configuration |
Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## develop #6940 +/- ##
===========================================
- Coverage 81.50% 81.49% -0.01%
===========================================
Files 365 365
Lines 39923 39923
Branches 3703 3703
===========================================
- Hits 32538 32536 -2
- Misses 7385 7387 +2
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Motivation and context
Currently, we install plain
onnxruntime, which means that when the function is deployed withdeploy_gpu.sh, it ends up using the CPU anyway.Fixes #6793.
How has this been tested?
Checklist
developbranch[ ] I have updated the documentation accordingly[ ] I have added tests to cover my changes[ ] I have increased versions of npm packages if it is necessary(cvat-canvas,
cvat-core,
cvat-data and
cvat-ui)
License
Feel free to contact the maintainers if that's a concern.