code: def tohost(x):
      """Collect batches from all devices to host and flatten batch dimensions."""
      n_device, n_batch, *remaining_dims = x.shape
      return np.array(x).reshape(
          (n_device * n_batch,) + tuple(remaining_dims)
      )
  
imports: import collections
  import functools
  import os
  from absl import logging
  from clu import metric_writers
  from clu import periodic_actions
  from flax import jax_utils
  from flax import linen
  from flax.training import checkpoints
  from flax.training import common_utils
  from flax.training import dynamic_scale
  from flax.training import train_state
  import jax
  import jax.numpy
  import ml_collections
  import numpy
  import optax
  import tensorflow
  import bleu
  import decode
  import input_pipeline
  import models
label_desc: Use image node_id 12 for calling a global function with example usage: tohost(x) and returns: np