Layer softmax was called with an input that isn't a symbolic tensor.

[kapilg1997]

Windows 10
Python: 3.7.5
tensorflow: 2.0.0
Keras: 2.3.1

model_1 = rnn_model(input_dim=13, # change to 13 if you would like to use MFCC features
units=200,
activation='relu')

This error occurrs

---

ValueError Traceback (most recent call last)
~\AppData\Roaming\Python\Python37\site-packages\keras\engine\base_layer.py in assert_input_compatibility(self, inputs)
309 try:
--> 310 K.is_keras_tensor(x)
311 except ValueError:

~\AppData\Roaming\Python\Python37\site-packages\keras\backend\tensorflow_backend.py in is_keras_tensor(x)
696 raise ValueError('Unexpectedly found an instance of type ' + --> 697 str(type(x)) + '. '
698 'Expected a symbolic tensor instance.')

ValueError: Unexpectedly found an instance of type <class 'ellipsis'>. Expected a symbolic tensor instance.

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
in
1 model_1 = rnn_model(input_dim=13, # change to 13 if you would like to use MFCC features
2 units=200,
----> 3 activation='relu')

~\STT\AIND-VUI-Capstone\sample_models.py in rnn_model(input_dim, units, activation, output_dim)
33 time_dense = ...
34 # Add softmax activation layer
---> 35 y_pred = Activation('softmax', name='softmax')(time_dense)
36 # Specify the model
37 model = Model(inputs=input_data, outputs=y_pred)

~\AppData\Roaming\Python\Python37\site-packages\keras\backend\tensorflow_backend.py in symbolic_fn_wrapper(*args, **kwargs)
73 if _SYMBOLIC_SCOPE.value:
74 with get_graph().as_default():
---> 75 return func(*args, **kwargs)
76 else:
77 return func(*args, **kwargs)

~\AppData\Roaming\Python\Python37\site-packages\keras\engine\base_layer.py in call(self, inputs, **kwargs)
444 # Raise exceptions in case the input is not compatible
445 # with the input_spec specified in the layer constructor.
--> 446 self.assert_input_compatibility(inputs)
447
448 # Collect input shapes to build layer.

~\AppData\Roaming\Python\Python37\site-packages\keras\engine\base_layer.py in assert_input_compatibility(self, inputs)
314 'Received type: ' +
315 str(type(x)) + '. Full input: ' +
--> 316 str(inputs) + '. All inputs to the layer '
317 'should be tensors.')
318

ValueError: Layer softmax was called with an input that isn't a symbolic tensor. Received type: <class 'ellipsis'>. Full input: [Ellipsis]. All inputs to the layer should be tensors.

I have made necessary changes to accommodate newer versions of tensorflow, keras and such