Tensorflow preprocessing images loops twice in PyCharm but not Jupyter Notebooks

Question

I am setting a directory path and formatting images using tensorflow's preprocessing. My issue is when I run this is jupyter notebooks it prints out a single output with Files and Classes found. When I run the same thing in PyCharm it loops through the entire main.py twice and then stops.

Here is the code:

import tensorflow as tf
IMG_SIZE = (224, 224)
# Set directory paths
test_dir = "D:/Python/Character_Vision_App/Total_Train_Test_Split/test"
train_dir = "D:/Python/Character_Vision_App/Total_Train_Test_Split/train"

# Format images
train_data = tf.keras.preprocessing.image_dataset_from_directory(train_dir,
                                                                 label_mode="categorical",
                                                                 image_size=IMG_SIZE)

test_data = tf.keras.preprocessing.image_dataset_from_directory(test_dir,
                                                                label_mode="categorical",
                                                                image_size=IMG_SIZE,
                                                                shuffle=False)

Output in Jupyter Notebook:

Found 317 files belonging to 24 classes.
Found 1308 files belonging to 24 classes.

Output in Pycharm:

Found 317 files belonging to 24 classes.
Found 1308 files belonging to 24 classes.
Found 317 files belonging to 24 classes.
Found 1308 files belonging to 24 classes.