Download kaggle/notebook_finish.py from idefinity/webfm-eval: direct link, hf CLI and curl.
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https://huggingface.co/datasets/idefinity/webfm-eval/resolve/main/kaggle/notebook_finish.py
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curl -L -o notebook_finish.py https://huggingface.co/datasets/idefinity/webfm-eval/resolve/main/kaggle/notebook_finish.py
2.18 kB
| """Finish the run: quantise and evaluate the student trained in the previous pass. | |
| The training pass ended after ONNX export with | |
| `ModuleNotFoundError: No module named 'onnx_ir'` — the quantiser moved to | |
| onnx-ir. The weights are fine and sit in that pass's output, so this mounts them | |
| and repeats only the two missing stages. | |
| Nothing here regenerates trajectories or retrains. | |
| """ | |
| import glob | |
| import os | |
| import shutil | |
| import subprocess | |
| import sys | |
| from notebook_eval import BUNDLE, MODEL, ROOT, WEIGHTS, pull, stage_deps, stage_repo | |
| BUNDLE_REPO = "idefinity/webfm-eval" | |
| EVAL_VOICES = "a08" | |
| def find_student() -> str | None: | |
| local = BUNDLE / "student4.pt" | |
| if local.exists(): | |
| return str(local) | |
| hits = glob.glob("/kaggle/input/**/train/student4.pt", recursive=True) | |
| hits += glob.glob("/kaggle/input/**/student4.pt", recursive=True) | |
| print("student4.pt candidates:", hits) | |
| return hits[0] if hits else None | |
| def run(stage: str, extra: dict | None = None) -> int: | |
| env = dict(os.environ, WORK_ROOT=str(ROOT), STAGE=stage, **(extra or {})) | |
| env["CUDA_VISIBLE_DEVICES"] = "0" | |
| env["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True" | |
| return subprocess.run([sys.executable, str(BUNDLE / "kaggle/train_voices.py")], env=env).returncode | |
| def main() -> None: | |
| stage_repo() | |
| stage_deps() | |
| subprocess.run("pip install -q onnx_ir onnxscript", shell=True, check=False) | |
| pull(WEIGHTS, MODEL) | |
| pull(BUNDLE_REPO, BUNDLE, repo_type="dataset") | |
| src = find_student() | |
| if not src: | |
| raise SystemExit("student4.pt not found — attach kkonda/webfm-train-voices as input") | |
| dst = ROOT / "train" | |
| dst.mkdir(parents=True, exist_ok=True) | |
| shutil.copyfile(src, dst / "student4.pt") | |
| print(f"using {src} ({os.path.getsize(src)/1e6:.0f} MB)") | |
| print("== export + quantise ==", flush=True) | |
| rc = run("export") | |
| print("export rc", rc) | |
| if rc != 0: | |
| raise SystemExit("export/quantise failed") | |
| print("== eval ==", flush=True) | |
| rc = run("eval", {"EVAL_VOICES": EVAL_VOICES}) | |
| print("eval rc", rc) | |
| if rc != 0: | |
| raise SystemExit("eval failed") | |
| if __name__ == "__main__": | |
| main() | |