While writing the code on own system and not using Jupyter notebook, I am facing issue in
Creating the user input and point to the base network
input_user = tf.keras.layers.Input(shape=(num_user_features))
vu = user_NN(input_user)
vu = tf.linalg.l2_normalize(vu, axis=1)
)
ValueError: A KerasTensor cannot be used as input to a TensorFlow function. A KerasTensor is a symbolic placeholder for a shape and dtype, used when constructing Keras Functional models or Keras Functions. You can only use it as input to a Keras layer or a Keras operation (from the namespaces keras.layers and keras.ops). You are likely doing something like:
x = Input(...)
...
tf_fn(x) # Invalid.
What you should do instead is wrap tf_fn in a layer:
class MyLayer(Layer):
def call(self, x):
return tf_fn(x)
x = MyLayer()(x)
Let me know how to fix this