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parallelism limits

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This commit is contained in:
Michael Pilosov 2026-04-21 20:16:33 -06:00
parent b99a8e3287
commit 230c3032e5
1 changed files with 12 additions and 0 deletions
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flows/embedding_flow.py
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@ -7,6 +7,18 @@ import sys
os.environ.setdefault("PREFECT_API_URL", "http://localhost:4200/api") os.environ.setdefault("PREFECT_API_URL", "http://localhost:4200/api")
os.environ.setdefault("DO_NOT_TRACK", "1") os.environ.setdefault("DO_NOT_TRACK", "1")
# Pin per-process thread pools to 1 so Ray's worker parallelism doesn't
# multiply against BLAS/numba/etc. thread pools — otherwise 4 workers × N
# cores → thrash. Must be set before numpy/numba/sklearn import, since
# those libs latch onto these env vars at import time. Ray manages OMP
# per-task-CPU but does NOT manage NUMBA_NUM_THREADS, which is what
# PaCMAP/UMAP use for their optimization loops.
os.environ.setdefault("OMP_NUM_THREADS", "1")
os.environ.setdefault("MKL_NUM_THREADS", "1")
os.environ.setdefault("OPENBLAS_NUM_THREADS", "1")
os.environ.setdefault("NUMEXPR_NUM_THREADS", "1")
os.environ.setdefault("NUMBA_NUM_THREADS", "1")
from datetime import timedelta from datetime import timedelta
import math import math
from pathlib import Path from pathlib import Path