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chore(deps): update dependency torch to v2.8.0 [security] - autoclosed #13968

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chore(deps): update dependency torch to v2.8.0 [security] - autoclosed #13968

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2 changes: 1 addition & 1 deletion dataflow/run-inference/requirements.txt
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@@ -1,3 +1,3 @@
apache-beam[gcp]==2.49.0
torch==2.2.2
torch==2.8.0
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@gemini-code-assist gemini-code-assist Bot Mar 30, 2026

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Upgrading torch to 2.8.0 introduces a significant compatibility risk with the pinned versions of apache-beam (2.49.0) and transformers (4.38.0). Specifically, PyTorch 2.6+ defaults torch.load to weights_only=True. Apache Beam 2.49.0 does not support passing the weights_only argument to its model handlers (this was added in Beam 2.58.0). If the model state dict contains any non-tensor objects, the pipeline will fail with an UnpicklingError. Additionally, internal API changes in PyTorch 2.8.0 (such as _pytree modifications and the change from RuntimeError to NotImplementedError for unsupported ops) often break older versions of transformers. To maintain pipeline stability, it is recommended to upgrade apache-beam to 2.58.0 or newer and transformers to 4.40.0 or newer alongside this change.

transformers==4.38.0