changed performance mode to deterministic mode -- which is off by def… #444
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…ault, so we can make more effective use of compute by default and only run deterministically when explicitly requested by the user
younik
approved these changes
Nov 30, 2025
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| else: | ||
| # For GPU training, we can use multiple threads for CPU operations | ||
| os.environ["OMP_NUM_THREADS"] = str(num_cpus) | ||
| os.environ["MKL_NUM_THREADS"] = str(num_cpus) |
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isn't this the default behavior? If yes, I think we can remove this else branch
| # Each worker gets a distinct seed in the same pattern used for ranks. | ||
| set_seed(base_seed + worker_id, performance_mode=False) | ||
| # TODO: Can this be false? | ||
| set_seed(base_seed + worker_id, deterministic_mode=True) |
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I think it should be false by default; as it is the default torch behavior
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Description
changed performance mode to deterministic mode -- which is off by default, so we can make more effective use of compute by default and only run deterministically when explicitly requested by the user