code: def main(_):
      # Wrap the TensorFlow Session object for debugging.
      # TODO(anthonyjliu): Enable debugger from flags
      if FLAGS.debug and FLAGS.tensorboard_debug_address:
          raise ValueError(
              "The --debug and --tensorboard_debug_address flags are mutually "
              "exclusive."
          )
      if FLAGS.debug:
          raise NotImplementedError(
              "tfdbg v2 support for debug_fibonacci is not implemented yet"
          )
      elif FLAGS.tensorboard_debug_address:
          raise NotImplementedError(
              "Tensorboard Debugger Plugin support for debug_fibonacci_v2 is not "
              "implemented yet"
          )
  
      # Construct the TensorFlow network.
      n0 = tf.constant(np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32)
      n1 = tf.constant(np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32)
  
      for _ in range(2, FLAGS.length):
          n0, n1 = n1, tf.add(n0, n1)
  
      print(
          "Fibonacci number at position %d:\n%s"
          % (FLAGS.length, n1.numpy())
      )
  
imports: import argparse
  import sys
  from absl import app
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: main(_) without return types