Datasets:
Download code/gpu_run.py from kavyabhand/spacerot: direct link, hf CLI and curl.
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- Download file 1.14 kB
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https://huggingface.co/datasets/kavyabhand/spacerot/resolve/main/code/gpu_run.py
- Command line
-
hf download hf://datasets/kavyabhand/spacerot/code/gpu_run.py
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curl -L -o gpu_run.py https://huggingface.co/datasets/kavyabhand/spacerot/resolve/main/code/gpu_run.py
1.14 kB
| """GPU track (run on the A10G box with SD_GPU=1): reproduce famous GPU Spaces broken by code drift, then treat them. | |
| A10G is the GPU of HF's a10g-small; t4/l4 Spaces are verified on it too (noted per case).""" | |
| import json, os, sys, concurrent.futures as cf | |
| IDS, sys.argv = sys.argv[1:], sys.argv[:1] # reproduce.py reads sys.argv at import | |
| import reproduce, doctor, beam | |
| census = {r["id"]: r for r in reproduce.CENSUS} | |
| def go(sid): | |
| d = reproduce.OUT / sid.replace("/", "__") | |
| try: | |
| if not (d / "repro.json").exists(): | |
| reproduce.run(census[sid]) | |
| rec = json.load(open(d / "repro.json")) | |
| if rec["our_stage"] not in ("runtime_error", "build_error"): | |
| print(f"{sid}: not broken in our rebuild ({rec['our_stage']}), skipped", flush=True); return | |
| if not (d / "case.json").exists(): | |
| doctor.treat(d) | |
| except beam.BudgetExhausted as e: | |
| print(f"{sid}: BUDGET STOP {e}", flush=True) | |
| except Exception as e: | |
| print(f"{sid}: harness error {e!r}", flush=True) | |
| with cf.ThreadPoolExecutor(int(os.environ.get("SD_WORKERS", "2"))) as ex: | |
| list(ex.map(go, IDS)) | |