code: def _build_tf_graph(self):
      with tf.device("/cpu:0"):
          self._image_bytes = tf.placeholder(
              shape=[],
              dtype=tf.string,
          )
          img = preprocess_image(
              self._image_bytes,
              self.is_training,
              False,
              self.size,
              self.interpolation,
          )
      return img
  
file_path: pytorch-image-models/timm/data/tf_preprocessing.py
imports: import tensorflow.compat.v1
  import numpy
label_desc: Use image node_id 2 for calling the TfPreprocessTransform obj's underlying member method code with example usage: obj._build_tf_graph() and returns: img