Revised saving
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@ -525,7 +525,12 @@ class ComprehensiveTestSuite:
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# Test saving
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# Test saving
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state_dict = {
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state_dict = {
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'model_state_dict': torch.randn(10, 10),
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'model_state_dict': {
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'layer1.weight': torch.randn(10, 5),
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'layer1.bias': torch.randn(10),
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'layer2.weight': torch.randn(3, 10),
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'layer2.bias': torch.randn(3)
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},
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'optimizer_state_dict': {'lr': 0.001},
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'optimizer_state_dict': {'lr': 0.001},
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'step': 100
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'step': 100
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}
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}
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@ -86,7 +86,7 @@ class CheckpointManager:
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model_path = os.path.join(temp_dir, 'pytorch_model.bin')
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model_path = os.path.join(temp_dir, 'pytorch_model.bin')
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# Add extra safety check for model state dict
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# Add extra safety check for model state dict
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model_state = state_dict['model_state_dict']
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model_state = state_dict['model_state_dict']
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if not model_state:
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if model_state is None or (isinstance(model_state, dict) and len(model_state) == 0):
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raise RuntimeError("Model state dict is empty")
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raise RuntimeError("Model state dict is empty")
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self._safe_torch_save(model_state, model_path)
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self._safe_torch_save(model_state, model_path)
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