ultralytics 8.0.52 reduced TAL CUDA usage and AMP check fix (#1333)
Co-authored-by: CNH5 <74132034+CNH5@users.noreply.github.com> Co-authored-by: Huijae Lee <46982469+ZeroAct@users.noreply.github.com> Co-authored-by: Lorenzo Mammana <lorenzom96@hotmail.it> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Hardik Dava <39372750+hardikdava@users.noreply.github.com> Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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@ -122,7 +122,7 @@ class BaseModel(nn.Module):
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bn = tuple(v for k, v in nn.__dict__.items() if 'Norm' in k) # normalization layers, i.e. BatchNorm2d()
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return sum(isinstance(v, bn) for v in self.modules()) < thresh # True if < 'thresh' BatchNorm layers in model
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def info(self, verbose=False, imgsz=640):
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def info(self, verbose=True, imgsz=640):
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"""
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Prints model information
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