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Use shell=True to run hyperparameter tuning (#18284)

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Signed-off-by: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Mohammed Yasin 2024-12-18 02:27:44 +08:00 • committed by GitHub
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ultralytics/engine/tuner.py
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@ -191,7 +191,7 @@ class Tuner:
try: try:
# Train YOLO model with mutated hyperparameters (run in subprocess to avoid dataloader hang) # Train YOLO model with mutated hyperparameters (run in subprocess to avoid dataloader hang)
cmd = ["yolo", "train", *(f"{k}={v}" for k, v in train_args.items())] cmd = ["yolo", "train", *(f"{k}={v}" for k, v in train_args.items())]
return_code = subprocess.run(cmd, check=True).returncode return_code = subprocess.run(" ".join(cmd), check=True, shell=True).returncode
ckpt_file = weights_dir / ("best.pt" if (weights_dir / "best.pt").exists() else "last.pt") ckpt_file = weights_dir / ("best.pt" if (weights_dir / "best.pt").exists() else "last.pt")
metrics = torch.load(ckpt_file)["train_metrics"] metrics = torch.load(ckpt_file)["train_metrics"]
assert return_code == 0, "training failed" assert return_code == 0, "training failed"