code: def shard(xs, device_count=None):
      """Split data into shards for multiple devices along the first dimension."""
      if device_count is None:
          device_count = jax.local_device_count()
      return jax.tree_map(
          lambda x: x.reshape((device_count, -1) + x.shape[1:]), xs
      )
  
imports: import collections
  from concurrent import futures
  import contextlib
  import functools
  import time
  from typing import List, Union
  import jax
  from jax import tree_util
  import jax.numpy
  import numpy
  from scipy import interpolate
  from scipy.spatial import transform
  import tqdm
label_desc: Use image node_id 21 for calling a global function with example usage: shard(xs, device_count) and returns: jax