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Fix: Change tensors to integers for torch.dynamo and torch.compile compatibility #23475
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… torch.compile compatibility
The documentation is not available anymore as the PR was closed or merged. |
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LGTM, maybe @amyeroberts you could have a second look?
Can you run make fix-copies
on your branch to fix the issue with the repo consistency check?
You undid your changes, you will need to make them in the file that mas2former copies from 😅 |
Oh bummer! Thank you for your patience. I will try to fix it. |
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LGTM - thanks for fixing this!
…mpatibility (huggingface#23475) * Fix: Change tensors to integers in torch.split() for torch.dynamo and torch.compile compatibility * Applied the suggested fix to the utils/check_copies.py test * Applied the suggested fix by changing the original function that gets copied
…mpatibility (huggingface#23475) * Fix: Change tensors to integers in torch.split() for torch.dynamo and torch.compile compatibility * Applied the suggested fix to the utils/check_copies.py test * Applied the suggested fix by changing the original function that gets copied
…mpatibility (huggingface#23475) * Fix: Change tensors to integers in torch.split() for torch.dynamo and torch.compile compatibility * Applied the suggested fix to the utils/check_copies.py test * Applied the suggested fix by changing the original function that gets copied
What does this PR do?
Fixes errors when trying to use PyTorch 2.0 torch.compile().
In the two fixes I suggested, we addressed the following issue:
torch.split() was expecting a list of integers specifying how to split the tensor along a given dimension. However, it received a list of scalar tensors instead. This mismatch was causing the TorchRuntimeError.
In the first instance, the tensor value_spatial_shapes was passed to the function as a list of scalar tensors, which resulted in the error. By converting them to integers using the .item() method, the error was resolved.
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@amyeroberts @sgugger