Run keras.Models.fit() in graph
In tensorflow2.x, model.fit() runs in graph mode by default, you can control this behavior by using the run_eagerly argument in the model.compile(...) method, which defaults to False.
How to run keras.model.fit() in graph not with eager execution...??
I tried to run my model in graph by using tf.compat.v1.disable_eager_execution(), but the code return error: numpy must be run with eager execution 
The error appear after checkpoint model
I’m using tensorflow GpU 2.1.0 and keras 2.3.1