Create early_env.py
Browse files- early_env.py +30 -0
early_env.py
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# early_env.py — import this BEFORE numpy/torch/cv2/etc.
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import os, re
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def _clean_int_env(name: str, default: str | None = None):
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val = os.environ.get(name)
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if val is None:
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if default is not None:
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os.environ[name] = default
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return
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if not re.fullmatch(r"\d+", str(val).strip()):
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if default is None:
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os.environ.pop(name, None)
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else:
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os.environ[name] = default
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# Keep thread env sane for Spaces (prevents libgomp errors)
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_clean_int_env("OMP_NUM_THREADS", "2")
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_clean_int_env("MKL_NUM_THREADS", "2")
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_clean_int_env("OPENBLAS_NUM_THREADS", "2")
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_clean_int_env("NUMEXPR_NUM_THREADS", "2")
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# Configure PyTorch threading EARLY (before any parallel work)
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try:
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import torch
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if hasattr(torch, "set_num_interop_threads"):
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torch.set_num_interop_threads(2)
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if hasattr(torch, "set_num_threads"):
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torch.set_num_threads(2)
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except Exception:
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pass
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