Repository: huggingface/transformers
Pull request: handle torch version edge cases

# What does this PR do?

If torch is installed as `torch==2.6.0+cu126`, then this check fails to detect it as 2.6.0

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- [ ] Did you write any new necessary tests?


## Who can review?

@ArthurZucker @SunMarc 
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

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Changed files:
filename: src/transformers/integrations/flex_attention.py
patch: @@ -66,7 +66,7 @@ def __init__(self, training):
             # cause errors. The suggested fix is to compile with "max-autotune-no-cudagraphs"
             # see https://github.com/pytorch/pytorch/issues/146260 for training
             self.training = training
-            if _torch_version == "2.6.0" and training:
+            if _torch_version.split("+")[0] == "2.6.0" and training:
                 self._compiled_flex_attention = torch.compile(
                     flex_attention, dynamic=False, mode="max-autotune-no-cudagraphs"
                 )