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Allow for warn_only selection in enable_full_determinism (#24496)
* Warn only in enable full determinism * Add option in the function definition
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@ -55,7 +55,7 @@ def seed_worker(_):
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set_seed(worker_seed)
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def enable_full_determinism(seed: int):
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def enable_full_determinism(seed: int, warn_only: bool = False):
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"""
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Helper function for reproducible behavior during distributed training. See
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- https://pytorch.org/docs/stable/notes/randomness.html for pytorch
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@ -70,7 +70,7 @@ def enable_full_determinism(seed: int):
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# depending on the CUDA version, so we set them both here
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os.environ["CUDA_LAUNCH_BLOCKING"] = "1"
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os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":16:8"
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torch.use_deterministic_algorithms(True)
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torch.use_deterministic_algorithms(True, warn_only=warn_only)
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# Enable CUDNN deterministic mode
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torch.backends.cudnn.deterministic = True
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