torchvision.roi_align does not support TPU
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Description
Hello.
We are using TPU in GCP.
We are currently modifying the code to allow the TPU to return to Detectron2.
However, there is an error that roi_align in Torchvision is not supported by TPU.
Please check the bottom. Can you solve it for me?
File "/anaconda3/envs/torch-xla-1.7/lib/python3.6/site-packages/torchvision/ops/roi_align.py", line 51, in roi_align
return torch.ops.torchvision.roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
RuntimeError: Could not run 'torchvision::roi_align' with arguments from the 'XLA' backend. 'torchvision::roi_align' is only available for these backends: [CPU, BackendSelect, Named, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, Tracer, Autocast, Batched, VmapMode].
Contributor guide
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 with torchvision/ops/roi_align.py and the torch.ops.torchvision.roi_align entry point shown in the traceback, then reproduce the operation on the XLA backend with a TPU. Done means roi_align executes successfully on XLA without the reported backend error and the behavior remains correct.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100