[Python] module.save() Error 'TypeError: this __dict__ descriptor does not support...

I'm following a tutorial on Youtube for image classification with machine learning. I keep getting the error as shown in the title from trying to save a deep learning module with tensorflow.

I'm using PyCharm on Windows 11.

here is my code...

import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow import keras as ker

(training_images, training_labels), (testing_images, testing_labels) = ker.datasets.cifar10.load_data()
testing_images, testing_images = training_images / 255, testing_images / 255

class_names = ['Plane', 'Car', 'Bird', 'Cat', 'Deer', 'Dog', 'Frog', 'Horse', 'Ship', 'Truck']

for i in range(16):
plt.subplot(4, 4, i+1)
plt.xticks([])
plt.yticks([])
plt.imshow(training_images, cmap=plt.cm.binary)
plt.xlabel(class_names[training_labels[0]])

plt.show()

training_images = training_images[:20000]
training_labels = training_labels[:20000]
testing_images = testing_images[:4000]
testing_labels = testing_labels[:4000]

#Model
model = ker.models.Sequential()
model.add(ker.layers.Conv2D(32, (3,3), activation='relu', input_shape=(32,32,3)))
model.add(ker.layers.MaxPooling2D((2,2)))
model.add(ker.layers.Conv2D(64, (3,3), activation='relu'))
model.add(ker.layers.MaxPooling2D((2,2)))
model.add(ker.layers.Conv2D(64, (3,3), activation='relu'))
model.add(ker.layers.Flatten())
model.add(ker.layers.Dense(64, activation='relu'))
model.add(ker.layers.Dense(10, activation='softmax'))

model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])

model.fit(training_images, training_labels, epochs=1, validation_data=(testing_images, testing_labels))

loss, accuracy = model.evaluate(testing_images, testing_labels)
print(f"Loss: {loss}")
print(f"Accuracy: {accuracy}")

model.save('img_classifier.model')

#model = ker.models.load_model()


the output...

C:\img_classifier\venv\Scripts\python.exe
C:\img_classifier\main.py
625/625 [==============================] - 15s 23ms/step - loss: 2.1824 - accuracy: 0.2874 - val_loss: 2.3014 - val_accuracy: 0.1047
125/125 [==============================] - 1s 8ms/step - loss: 2.3014 - accuracy: 0.1047
Loss: 2.30141019821167
Accuracy: 0.10474999994039536
WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _update_step_xla while saving (showing 4 of 4). These functions will not be directly callable after loading.
Traceback (most recent call last):
File "C:\Users\{user}\PycharmProjects\img_classifier\main.py", line 47, in <module>
model.save('img_classifier.model')
File "C:\Users\{user}\AppData\Roaming\Python\Python311\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\{user}\AppData\Roaming\Python\Python311\site-packages\tensorflow\python\trackable\data_structures.py", line 823, in __getattribute__
return super().__getattribute__(name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: this __dict__ descriptor does not support '_DictWrapper' objects

Process finished with exit code 1



I've tried changing IDE's, originally I was using VSCode but had way more errors, then I switched to PyCharm and this is the only error that persists. As you can see, the code for training the module has no issues, but I cannot save the module afterwards.

How can I fix this??

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