code: def train(state):
      state.rendezvous += 1
      # Horovod: adjust number of steps based on number of GPUs.
      state.model.fit(
          dataset,
          steps_per_epoch=args.batches_per_epoch,
          callbacks=callbacks,
          epochs=args.epochs - state.epoch,
          verbose=1 if hvd.rank() == 0 else 0,
      )
  
file_path: horovod/test/integration/data/elastic_tensorflow_keras_main.py
imports: import argparse
  import json
  import os
  import psutil
  import time
  import tensorflow
  import horovod.tensorflow.keras
label_desc: Use image node_id 4 for calling a global function with example usage: train(state) without return types