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Update Tuner() attempt metrics save on crash (#6711)

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Finlay Morrison 2023-12-01 15:45:31 +00:00 committed by GitHub
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ultralytics/engine/tuner.py
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@ -180,8 +180,9 @@ 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())]
assert subprocess.run(cmd, check=True).returncode == 0, 'training failed' return_code = subprocess.run(cmd, check=True).returncode
metrics = torch.load(ckpt_file)['train_metrics'] metrics = torch.load(ckpt_file)['train_metrics']
assert return_code == 0, 'training failed'
except Exception as e: except Exception as e:
LOGGER.warning(f'WARNING ❌️ training failure for hyperparameter tuning iteration {i + 1}\n{e}') LOGGER.warning(f'WARNING ❌️ training failure for hyperparameter tuning iteration {i + 1}\n{e}')