HongChuang/ultralytics-ascend
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Add Dockerfiles and update Docs README (#124)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2022-12-31 18:39:42 +01:00 • committed by GitHub
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ultralytics/yolo/engine/trainer.py
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@ -519,7 +519,7 @@ class BaseTrainer:
decay (float): weight decay
Returns:
torch.optim.Optimizer: the built optimizer
optimizer (torch.optim.Optimizer): the built optimizer
"""
g = [], [], [] # optimizer parameter groups
bn = tuple(v for k, v in nn.__dict__.items() if 'Norm' in k) # normalization layers, i.e. BatchNorm2d()