code: def decode_and_resize(image_str_tensor):
    
  
    # These constants are set by Inception v3's expectations.
    height = 299
    width = 299
    channels = 3
  
    image = tf.image.decode_jpeg(image_str_tensor, channels=channels)
    # Note resize expects a batch_size, but tf_map supresses that index,
    # thus we have to expand then squeeze.  Resize returns float32 in the
    # range [0, uint8_max]
    image = tf.expand_dims(image, 0)
    image = tf.image.resize_bilinear(image, [height, width], align_corners=False)
    image = tf.squeeze(image, squeeze_dims=[0])
    image = tf.cast(image, dtype=tf.uint8)
    return image
docs: Decodes jpeg string, resizes it and returns a uint8 tensor.