I am using the following code to define and compile a Keras model. Then when I print the model.summary() I am still getting unbuilt and erroneous summary. I am using Python3.10.12 and tensorflow 2.16.1. Please do not hesitate to reach out for any additional information you need.

Code to build the model

  model = Sequential()
  #model.add(embedding_layer)  # Add embedding layer if applicable
  model.add(Dense(num_dense_units, activation='relu'))  # First dense layer with ReLU activation
  model.add(Dense(len(set(cluster_labels)), activation='softmax'))  # Output layer with softmax for multi-class classification

  # Model compilation
  #model.compile(loss=CategoricalCrossentropy(), optimizer=Adam(), metrics=['accuracy'])
  model.compile(loss=CategoricalCrossentropy(from_logits=True), optimizer=Adam(learning_rate=0.001), metrics=['accuracy'])

Outcome of model.summary()

┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃ 
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ dense (Dense)                   │ ?                      │   0 (unbuilt) │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dense_1 (Dense)                 │ ?                      │   0 (unbuilt) │
└─────────────────────────────────┴────────────────────────┴───────────────┘
 Total params: 0 (0.00 B)
 Trainable params: 0 (0.00 B)
 Non-trainable params: 0 (0.00 B)
None

When I run my script I get the following runtime error too, which I think is because the model is not being built correctly, as I verified other dimension related things and they are correct.

File "/usr/local/lib/python3.10/dist-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/usr/local/lib/python3.10/dist-packages/keras/src/trainers/data_adapters/__init__.py", line 120, in get_data_adapter
    raise ValueError(f"Unrecognized data type: x={x} (of type {type(x)})")
ValueError: Unrecognized data type: x=[[ 0  0  0 ... 10  4  7]
 [ 0  0  0 ... 10  4  7]
 [ 0  0  0 ... 10  4  7]
 ...
 [ 0  0  0 ...  1  6 30]
 [ 0  0  0 ...  1  6 30]
 [ 0  0  0 ...  1  6 30]] (of type <class 'numpy.ndarray'>)