code: def TestOneInput(input_bytes):
      """Test randomized integer fuzzing input for tf.raw_ops.ImmutableConst."""
      fh = FuzzingHelper(input_bytes)
  
      dtype = fh.get_tf_dtype()
      shape = fh.get_int_list()
      try:
          with open(_DEFAULT_FILENAME, "w") as f:
              f.write(fh.get_string())
          _ = tf.raw_ops.ImmutableConst(
              dtype=dtype,
              shape=shape,
              memory_region_name=_DEFAULT_FILENAME,
          )
      except (
          tf.errors.InvalidArgumentError,
          tf.errors.InternalError,
          UnicodeEncodeError,
          UnicodeDecodeError,
      ):
          pass
  
label_desc: Use image node_id 1 for calling a global function with example usage: TestOneInput(input_bytes) without return types