Upload ckpt_autopush.py with huggingface_hub
Browse files- ckpt_autopush.py +57 -0
ckpt_autopush.py
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#!/usr/bin/env python3
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"""Auto-upload each new training checkpoint to HF so the maintainer can bench
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the latest weights during training. Watches the trainer log for `ckpt @ <step>`
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lines (emitted right after the save completes), copies ckpt.pt to a step-tagged
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name, and uploads it to SlayerLab/gollem-v5-ckpts/<subdir>/.
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Usage: python ckpt_autopush.py TRAIN_LOG CKPT_PATH HF_SUBDIR
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e.g. python ckpt_autopush.py train_64m_v2.log run_64m_v2/ckpt.pt v2_muon
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"""
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import os
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import shutil
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import sys
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import time
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from huggingface_hub import HfApi
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logf = sys.argv[1]
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ckpt_path = sys.argv[2]
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subdir = sys.argv[3]
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repo = "SlayerLab/gollem-v5-ckpts"
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api = HfApi()
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seen = set()
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# Seed already-uploaded tags so a restart does not re-push existing ckpts.
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try:
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existing = {f.split("/")[-1] for f in api.list_repo_files(repo) if f.startswith(subdir + "/")}
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except Exception:
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existing = set()
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print(f"[ckpt_autopush] watching {logf} -> {repo}/{subdir}/ (existing={len(existing)})", flush=True)
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while True:
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try:
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steps = [ln.split("@", 1)[1].strip() for ln in open(logf, encoding="utf-8", errors="ignore")
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if "ckpt @" in ln]
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except FileNotFoundError:
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time.sleep(30)
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continue
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for s in steps:
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if not s.isdigit() or s in seen:
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continue
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seen.add(s)
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tag = f"ckpt_{int(s) // 1000}k.pt"
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if tag in existing:
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continue
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if not os.path.exists(ckpt_path):
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continue
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local = os.path.join(os.path.dirname(ckpt_path) or ".", tag)
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try:
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shutil.copyfile(ckpt_path, local)
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api.upload_file(path_or_fileobj=local, path_in_repo=f"{subdir}/{tag}",
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repo_id=repo, commit_message=f"auto ckpt {s}")
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existing.add(tag)
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print(f"[ckpt_autopush] uploaded {subdir}/{tag} (step {s})", flush=True)
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except Exception as e:
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print(f"[ckpt_autopush] upload {tag} failed: {e!r}", flush=True)
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seen.discard(s) # retry next cycle
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time.sleep(60)
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