W&B ID reset on training completion (#1852)
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@ -350,8 +350,8 @@ def non_max_suppression(prediction, conf_thres=0.25, iou_thres=0.45, classes=Non
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def strip_optimizer(f='weights/best.pt', s=''): # from utils.general import *; strip_optimizer()
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def strip_optimizer(f='weights/best.pt', s=''): # from utils.general import *; strip_optimizer()
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# Strip optimizer from 'f' to finalize training, optionally save as 's'
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# Strip optimizer from 'f' to finalize training, optionally save as 's'
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x = torch.load(f, map_location=torch.device('cpu'))
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x = torch.load(f, map_location=torch.device('cpu'))
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x['optimizer'] = None
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for key in 'optimizer', 'training_results', 'wandb_id':
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x['training_results'] = None
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x[key] = None
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x['epoch'] = -1
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x['epoch'] = -1
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x['model'].half() # to FP16
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x['model'].half() # to FP16
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for p in x['model'].parameters():
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for p in x['model'].parameters():
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