flr:

Eager execution is enabled by default in TF2.0


It is not the case for the default behaviour of these API:

  
      

      TensorFlow
  

  
    

tf.keras.Model  |  TensorFlow Core v2.6.0 2

  Model groups layers into an object with training and inference features.


  

  
    
    
  

  



By default, we will attempt to compile your model to a static graph to deliver the best execution performance




 flr:

careful also to save the model without compiling it.
I compile the model only after reloading and before training it.


If this was the case you should see this warning

A Keras model instance. If the original model was compiled, and saved with the optimizer, then the returned model will be compiled. Otherwise, the model will be left uncompiled. In the case that an uncompiled model is returned, a warning is displayed if the compile argument is set to True .