Remove tensorflow python framework ops Tensor on model save
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Title: Removing tensorflow.python.framework.ops.Tensor References on Model Save in TensorFlow
Introduction:
In TensorFlow, when saving a trained model using the tf.keras.models.save_model function, it may include references to tensorflow.python.framework.ops.Tensor objects in the saved model. These references can sometimes lead to issues when loading the model in different TensorFlow versions or environments. In this tutorial, we will explore a method to remove these references during the model save process.
Code Example:
Now, let's create a function to remove the tensorflow.python.framework.ops.Tensor references before saving the model:
Now, you can compare the sizes of the two saved models (model_with_tensor_refs.h5 and model_without_tensor_refs.h5) to observe potential reduction in file size, especially if the original model had references to tensorflow.python.framework.ops.Tensor objects.
Conclusion:
Removing tensorflow.python.framework.ops.Tensor references during the model save process can help mitigate compatibility issues and reduce the size of the saved model file. This can be particularly useful when deploying models across different TensorFlow versions or environments.
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