TF 2.3 Concatenate error – AttributeError: 'Sequential' object has no attribute '_nested_outputs'

fusion_model = tf.keras.layers.concatenate([m1.output, m2.output])

m1 and m2 are Model objects.

I’m concatenating the outputs of the two models and I’m getting the following error:

AttributeError: ‘Sequential’ object has no attribute ‘_nested_outputs’

This exact code used to work in TF 1.14. Any help? thanks

After experimenting with this example, it appears to crash on the statement m2.output (m1.output runs fine)

my M2 model is:

Layer (type)                 Output Shape              Param #   
=================================================================
rescaling_1 (Rescaling)      (None, 456, 456, 3)       0         
_________________________________________________________________
efficientnetb5 (Functional)  (None, 15, 15, 2048)      28513527  
_________________________________________________________________
global_average_pooling2d (Gl (None, 2048)              0         
_________________________________________________________________
dense_3 (Dense)              (None, 160)               327840    
_________________________________________________________________
dropout_19 (Dropout)         (None, 160)               0         
_________________________________________________________________
predictions (Dense)          (None, 19)                3059