code: def crop_image(image, patchsize):
      image = tf.image.random_crop(image, (patchsize, patchsize, 3))
      return tf.cast(
          image, tf.keras.mixed_precision.global_policy().compute_dtype
      )
  
imports: import argparse
  import glob
  import sys
  from absl import app
  from absl.flags import argparse_flags
  import tensorflow
  import tensorflow_compression
  import tensorflow_datasets
label_desc: Use image node_id 4 for calling a global function with example usage: crop_image(image, patchsize) and returns: tf