MatthewsCorrelationCoefficient is always zero in binary classification

[digital-thinking]

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 11
• TensorFlow version and how it was installed (source or binary): 2.10.1 (binary)
• TensorFlow-Addons version and how it was installed (source or binary): 2.10.1 (binary)
• Python version: 3.10
• Is GPU used? (yes/no): yes

MCC does not work on binary labels with a single neuron as output, it always returns 0:
Last layer:

x = tf.keras.layers.Dense(1, activation='sigmoid')(x)
model.compile('sgd', 'binary_crossentropy', metrics=['accuracy', tfa.metrics.MatthewsCorrelationCoefficient(num_classes=2)])

Output always 0:
38s 19s/step - loss: 0.6899 - accuracy: 0.4843 - MatthewsCorrelationCoefficient: 0.0000e+00 - val_loss: 0.6934 - val_accuracy: 0.4096 - val_MatthewsCorrelationCoefficient: 0.0000e+00

The last comment from the user here also describes the problem, however the solution does not work anymore
#2339