DeepSVDD example giving me error

[DrSouthmountain]

Hello,

I am trying to run the DeepSVDD algorithm on a dataset but a keep getting an error.

The same error pops up when running the sample code from the repo (deepsvdd_example.py). When running the sample code and fitting data I get the following:

line 25, in
clf.fit(X_train)
File "/opt/homebrew/Caskroom/miniforge/base/envs/ADPy311/lib/python3.11/site-packages/pyod/models/deep_svdd.py", line 270, in fit
self.model_ = self._build_model(training=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/homebrew/Caskroom/miniforge/base/envs/ADPy311/lib/python3.11/site-packages/pyod/models/deep_svdd.py", line 201, in _build_model
dist = tf.math.reduce_sum((x - self.c) ** 2, axis=-1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/homebrew/Caskroom/miniforge/base/envs/ADPy311/lib/python3.11/site-packages/tensorflow/python/ops/weak_tensor_ops.py", line 88, in wrapper
return op(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/opt/homebrew/Caskroom/miniforge/base/envs/ADPy311/lib/python3.11/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/opt/homebrew/Caskroom/miniforge/base/envs/ADPy311/lib/python3.11/site-packages/keras/src/backend/common/keras_tensor.py", line 91, in tf_tensor
raise ValueError(
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)

Has anyone run into the same problem? Any pointers on how I can fix it?