A KerasTensor cannot be used as input to a TensorFlow function

After messing around, I could not use the package on my case. So I tried to run locally your your binary classification example from here: https://deeptables.readthedocs.io/en/latest/examples.html#binary-classification

And I am getting the same error as in my use case.

System information

OS Platform and Distribution (e.g., CentOS 7.6):
Python version: 3.10.14
DeepTables version: 0.2.6
Other Python packages(run pip list):
tensorflow 2.8.0

Describe the current behavior 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.operations). 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)`

**Standalone code to reproduce the issue**
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Jupyter notebook.

DataCanvasIO / DeepTables

A KerasTensor cannot be used as input to a TensorFlow function #93