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@ -169,7 +169,7 @@ class Lamb(Optimizer):
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trust_ratio = one_tensor
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if weight_decay != 0 or group['use_nvlamb']:
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# Layer adaptation. By default, skip layer adaptation on parameters that are
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# excluded from weight norm, unless use_nvlamb == True, then always enabled.
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# excluded from weight decay, unless use_nvlamb == True, then always enabled.
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w_norm = p.data.norm(2.0)
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g_norm = update.norm(2.0)
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trust_ratio = torch.where(
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