forked from mindspore-Ecosystem/mindspore
fix checkpoint evaliaction.
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3b632eac46
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@ -187,9 +187,10 @@ def load_checkpoint(ckpt_file_name, model_type="normal", net=None):
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raise ValueError(e.__str__())
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parameter_dict = {}
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if model_type != checkpoint_list.model_type:
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raise KeyError("Checkpoint file model type({}) is not equal to input model type({}).".format(
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checkpoint_list.model_type, model_type))
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if checkpoint_list.model_type:
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if model_type != checkpoint_list.model_type:
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raise KeyError("Checkpoint file model type({}) is not equal to input model type({}).".format(
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checkpoint_list.model_type, model_type))
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try:
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for element in checkpoint_list.value:
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data = element.tensor.tensor_content
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