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Some of torchvision's backward CUDA operators (e.g., roi_align_backward) use gpu atomic add, which makes the nondeterministic. It would be great if they were coded to respect use_deterministic. The easy thing to do is just make them warn, but if we can implement a Python version of the function we can also do the same playbook as in pytorch/pytorch#101115
🐛 Describe the bug
Some of torchvision's backward CUDA operators (e.g., roi_align_backward) use gpu atomic add, which makes the nondeterministic. It would be great if they were coded to respect use_deterministic. The easy thing to do is just make them warn, but if we can implement a Python version of the function we can also do the same playbook as in pytorch/pytorch#101115
cc @kurtamohler
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