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Make grad_norm and combined_grad_norm None is not recording
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@@ -1444,8 +1444,10 @@ class NetworkTrainer:
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else:
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if hasattr(network, "weight_norms"):
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mean_norm = network.weight_norms().mean().item()
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mean_grad_norm = network.grad_norms().mean().item()
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mean_combined_norm = network.combined_weight_norms().mean().item()
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grad_norms = network.grad_norms()
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mean_grad_norm = grad_norms.mean().item() if grad_norms is not None else None
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combined_weight_norms = network.combined_weight_norms()
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mean_combined_norm = combined_weight_norms.mean().item() if combined_weight_norms is not None else None
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weight_norms = network.weight_norms()
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maximum_norm = weight_norms.max().item() if weight_norms.numel() > 0 else None
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keys_scaled = None
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