add onnx_ir/onnxscript deps and finish notebook

kaggle/notebook_eval.py

@@ -41,7 +41,8 @@ HF_MIRROR = "https://hf-mirror.com"
 DEPS = [
     "transformers==4.46.3", "tokenizers", "accelerate==1.3.0", "huggingface_hub",
     "soundfile==0.12.1", "tqdm", "loguru", "x_transformers==2.9.2",
-    "diffusers==0.33.0", "onnxruntime", "onnx", "inflect", "einops", "packaging",
+    "diffusers==0.33.0", "onnxruntime", "onnx", "onnx_ir", "onnxscript",
+    "inflect", "einops", "packaging",
 ]
 ALIASES = {"cv2": "opencv-python", "yaml": "pyyaml", "PIL": "pillow", "sklearn": "scikit-learn"}
 

kaggle/notebook_finish.py

@@ -0,0 +1,60 @@
+"""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,a01"
+
+
+def find_student() -> str | None:
+    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"
+    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)
+
+    print("== eval ==", flush=True)
+    rc = run("eval", {"EVAL_VOICES": EVAL_VOICES})
+    print("eval rc", rc)
+
+
+if __name__ == "__main__":
+    main()