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pop weights if available #1247
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@@ -481,7 +481,8 @@ class NetworkTrainer:
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if not isinstance(model, type(accelerator.unwrap_model(network))):
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remove_indices.append(i)
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for i in reversed(remove_indices):
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weights.pop(i)
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if len(weights) > i:
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weights.pop(i)
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# print(f"save model hook: {len(weights)} weights will be saved")
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def load_model_hook(models, input_dir):
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