34 lines
866 B
Python
34 lines
866 B
Python
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import sys
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from pathlib import Path
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import wandb
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FILE = Path(__file__).absolute()
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sys.path.append(FILE.parents[2].as_posix()) # add utils/ to path
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from train import train, parse_opt
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from utils.general import increment_path
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from utils.torch_utils import select_device
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def sweep():
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wandb.init()
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# Get hyp dict from sweep agent
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hyp_dict = vars(wandb.config).get("_items")
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# Workaround: get necessary opt args
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opt = parse_opt(known=True)
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opt.batch_size = hyp_dict.get("batch_size")
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opt.save_dir = str(increment_path(Path(opt.project) / opt.name, exist_ok=opt.exist_ok or opt.evolve))
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opt.epochs = hyp_dict.get("epochs")
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opt.nosave = True
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opt.data = hyp_dict.get("data")
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device = select_device(opt.device, batch_size=opt.batch_size)
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# train
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train(hyp_dict, opt, device)
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if __name__ == "__main__":
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sweep()
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