Actions: Lightning-AI/pytorch-lightning
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using_pjrt() xla runtime device_type() check with in xla.py for torch-xla>=2.5
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Pull request #20442
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using_pjrt() xla runtime device_type() check with in xla.py for torch-xla>=2.5
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configure_module before freeze_before_training
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configure_module before freeze_before_training
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configure_module before freeze_before_training
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configure_module before freeze_before_training
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configure_module before freeze_before_training
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np.random.SeedSequence() in pl_worker_init_function() to robustly seed NumPy-dependent dataloader workers
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#11984:
Pull request #20369
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