Hi,
Is there a way to make torch.nn.functional.interpolate deterministic? (its backward is not deterministic 45. This seems the case when upscaling. Downscaling seems to be deterministic).

When using the CUDA backend, this operation may induce nondeterministic behaviour in be backward that is not easily switched off. Please see the notes on Reproducibility 18 for background.

Related 20 (with more details) topic.
Thanks!