Tensorflow, How get value from Tensor

TensorFlow General Discussion
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I upload the data in BatchDataset using the image_dataset_from_directory method

import tensorflow.compat.v1 as tf2
tf2.disable_v2_behavior()

seed = 64
images = tf.keras.utils.image_dataset_from_directory(
    '/content/drive/MyDrive/DATA_PYTHON/Recognize_Alphabet/Recognize_Alphabet', 
    validation_split=0.2, 
    image_size=(34, 34),
    color_mode='rgb',
    interpolation='nearest',
    subset='training',
    seed=seed)

I want to invert the colors for all the images that I uploaded. To do this, I try to write a method:

def invertColor(im, b):
 
  sess2 = tf2.Session()
  im = sess2.run(im)
 
  imI = PIL.ImageOps.invert(im)
  imIN = np.asarray(imI)
  imINC = cv2.cvtColor(imIN, cv2.COLOR_BGR2RGB)
  bI = Image.fromarray(imINC, 'RGB')
  return bI

When I call the map with this invertColor method

images2 = images.map(invertColor)

I’m getting this errors:

InvalidArgumentError: in user code:
File "<ipython-input-19-1f1e09851e25>", line 5, in invertColor  *
    sess2.run(im)

InvalidArgumentError: Graph execution error:

Detected at node 'args_0' defined at (most recent call last):
    File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
      "__main__", mod_spec)

How can I get the value of im element in the invertColor method? (Or how to invert colors in the BatchDataset?)

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