Typeguard dependency update needed

System information

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Debian 12 "Bookworm"
TensorFlow version and how it was installed (source or binary): pip install tensorflow==2.10
TensorFlow-Addons version and how it was installed (source or binary): pip install tensorfow-addons=0.19
Python version: 3.10
Is GPU used? (yes/no): yes

Describe the bug

When WeightNormalization layer is initialized, check_type_internal() function of typeguard used to make sure the object given to WeightNormalization is a tensorflow layer fails with the following traceback (see below). Tensorflow-addons installs the last typeguard which is 3.0.0 (released yesterday). If I fall back to 2.13.0 the problem dissapears.

---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

[<ipython-input-6-973cec7abd8b>](https://localhost:8080/#) in <module>
      1 # WeightNorm ConvNet
      2 wn_model = tf.keras.Sequential([
----> 3     tfa.layers.WeightNormalization(tf.keras.layers.Conv2D(6, 5, activation='relu')),
      4     tf.keras.layers.MaxPooling2D(2, 2),
      5     tfa.layers.WeightNormalization(tf.keras.layers.Conv2D(16, 5, activation='relu')),

2 frames

[/usr/local/lib/python3.9/dist-packages/tensorflow_addons/layers/wrappers.py](https://localhost:8080/#) in __init__(self, layer, data_init, **kwargs)
     57 
     58     @typechecked
---> 59     def __init__(self, layer: tf.keras.layers, data_init: bool = True, **kwargs):
     60         super().__init__(layer, **kwargs)
     61         self.data_init = data_init

[/usr/local/lib/python3.9/dist-packages/typeguard/_functions.py](https://localhost:8080/#) in check_argument_types(memo)
    111             value = memo.arguments[argname]
    112             try:
--> 113                 check_type_internal(value, expected_type, memo=memo)
    114             except TypeCheckError as exc:
    115                 qualname = qualified_name(value, add_class_prefix=True)

[/usr/local/lib/python3.9/dist-packages/typeguard/_checkers.py](https://localhost:8080/#) in check_type_internal(value, annotation, memo)
    668             return
    669 
--> 670     if not isinstance(value, origin_type):
    671         raise TypeCheckError(f"is not an instance of {qualified_name(origin_type)}")
    672 

TypeError: isinstance() arg 2 must be a type or tuple of types

Code to reproduce the issue

You can reproduce the code using example code on the tensorflow page. The error will be in the second cell under build models.

Other info / logs

It breaks here:

# WeightNorm ConvNet
wn_model = tf.keras.Sequential([
    tfa.layers.WeightNormalization(tf.keras.layers.Conv2D(6, 5, activation='relu')),
    tf.keras.layers.MaxPooling2D(2, 2),
    tfa.layers.WeightNormalization(tf.keras.layers.Conv2D(16, 5, activation='relu')),
    tf.keras.layers.MaxPooling2D(2, 2),
    tf.keras.layers.Flatten(),
    tfa.layers.WeightNormalization(tf.keras.layers.Dense(120, activation='relu')),
    tfa.layers.WeightNormalization(tf.keras.layers.Dense(84, activation='relu')),
    tfa.layers.WeightNormalization(tf.keras.layers.Dense(num_classes, activation='softmax')),
])

tensorflow / addons

Typeguard dependency update needed #2819