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W&B: Don't log models in evolve operation (#4611)
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@ -138,7 +138,11 @@ class Loggers():
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if self.wandb:
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self.wandb.log({"Results": [wandb.Image(str(f), caption=f.name) for f in files]})
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# Calling wandb.log. TODO: Refactor this into WandbLogger.log_model
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wandb.log_artifact(str(best if best.exists() else last), type='model',
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name='run_' + self.wandb.wandb_run.id + '_model',
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aliases=['latest', 'best', 'stripped'])
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self.wandb.finish_run()
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if not self.opt.evolve:
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wandb.log_artifact(str(best if best.exists() else last), type='model',
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name='run_' + self.wandb.wandb_run.id + '_model',
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aliases=['latest', 'best', 'stripped'])
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self.wandb.finish_run()
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else:
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self.wandb.finish_run()
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self.wandb = WandbLogger(self.opt)
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@ -112,7 +112,7 @@ class WandbLogger():
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https://docs.wandb.com/guides/integrations/yolov5
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"""
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def __init__(self, opt, run_id, job_type='Training'):
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def __init__(self, opt, run_id=None, job_type='Training'):
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"""
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- Initialize WandbLogger instance
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- Upload dataset if opt.upload_dataset is True
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