"""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()