squaredcuber's picture
download
raw
900 Bytes
from __future__ import annotations
import argparse
import os
from pathlib import Path
for _name in (
"OMP_NUM_THREADS",
"OPENBLAS_NUM_THREADS",
"MKL_NUM_THREADS",
"VECLIB_MAXIMUM_THREADS",
"NUMEXPR_NUM_THREADS",
"BLIS_NUM_THREADS",
):
os.environ[_name] = "1"
os.environ["LOSS_AWARE_TIMING_CLI_BOOTSTRAP"] = "before_scientific_imports_v1"
from loss_aware_dro_repro.timing_harness import run_timing_escalation # noqa: E402
def main() -> None:
parser = argparse.ArgumentParser(
description="Run the parent-bound, local-only fixed-1000 timing escalation."
)
parser.add_argument("--config", type=Path, required=True)
parser.add_argument("--output", type=Path, required=True)
arguments = parser.parse_args()
run_timing_escalation(arguments.config, arguments.output)
if __name__ == "__main__":
main()

Xet Storage Details

Size:
900 Bytes
·
Xet hash:
55dd590643d96c2b6ad10e18e02660c50b14564196b103e184996060eb620a23

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.