Buckets:
| from __future__ import annotations | |
| import argparse | |
| import os | |
| from pathlib import Path | |
| for variable in ( | |
| "OMP_NUM_THREADS", | |
| "OPENBLAS_NUM_THREADS", | |
| "MKL_NUM_THREADS", | |
| "VECLIB_MAXIMUM_THREADS", | |
| "NUMEXPR_NUM_THREADS", | |
| "BLIS_NUM_THREADS", | |
| ): | |
| os.environ[variable] = "1" | |
| os.environ["LOSS_AWARE_OOS_TIMING_CLI_BOOTSTRAP"] = "before_scientific_imports_v1" | |
| from loss_aware_dro_repro.oos_timing_harness import run_oos_timing_sample # noqa: E402 | |
| def main() -> None: | |
| parser = argparse.ArgumentParser( | |
| description="Time the local grouped 10M absolute and squared regression OOS contracts." | |
| ) | |
| parser.add_argument("--output", type=Path, required=True) | |
| args = parser.parse_args() | |
| receipt = run_oos_timing_sample(args.output) | |
| print(receipt["run_identity"]) | |
| print(args.output.resolve()) | |
| if __name__ == "__main__": | |
| main() | |
Xet Storage Details
- Size:
- 914 Bytes
- Xet hash:
- c1eddc9f051915da3ece742c99882a12918e57fa7648bd624315ec9a875622ac
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.