code: def initialize_tpu(args):
      try:
          if args.tpu_name:
              tpu = tf.distribute.cluster_resolver.TPUClusterResolver(
                  args.tpu_name,
                  zone=args.tpu_zone,
                  project=args.gcp_project,
              )
          else:
              tpu = tf.distribute.cluster_resolver.TPUClusterResolver()
      except ValueError:
          raise RuntimeError(
              "Couldn't connect to TPU! Most likely you need to specify --tpu_name, --tpu_zone, or "
              "--gcp_project. When running on a TPU VM, use --tpu_name local."
          )
  
      tf.config.experimental_connect_to_cluster(tpu)
      tf.tpu.experimental.initialize_tpu_system(tpu)
  
      return tpu
  
file_path: transformers/examples/tensorflow/language-modeling-tpu/run_mlm.py
imports: import argparse
  import logging
  import os
  import re
  import tensorflow
  from transformers import AutoConfig, AutoTokenizer, DataCollatorForLanguageModeling, PushToHubCallback, TFAutoModelForMaskedLM, create_optimizer
label_desc: Use image node_id 2 for calling a global function with example usage: initialize_tpu(args) and returns: tpu