code: def split_data(data, num_slice, batch_axis=0, even_split=True):
      """Splits an NDArray into `num_slice` slices along `batch_axis`.
      Usually used for data parallelism where each slices is sent
      to one device (i.e. GPU).
  
      Parameters
      ----------
      data : NDArray
          A batch of data.
      num_slice : int
          Number of desired slices.
      batch_axis : int, default 0
          The axis along which to slice.
      even_split : bool, default True
          Whether to force all slices to have the same number of elements.
          If `True`, an error will be raised when `num_slice` does not evenly
          divide `data.shape[batch_axis]`.
  
      Returns
      -------
      list of NDArray
          Return value is a list even if `num_slice` is 1.
      """
      size = data.shape[batch_axis]
      if even_split and size % num_slice != 0:
          raise ValueError(
              f"data with shape {str(data.shape)} cannot be evenly split into {num_slice} slices "
              f"along axis {batch_axis}. Use a batch size that's multiple of {num_slice} "
              f"or set even_split=False to allow uneven partitioning of data."
          )
  
      n_each_section, extras = divmod(size, num_slice)
      section_sizes = [0] + (
          extras * [n_each_section + 1]
          + (num_slice - extras) * [n_each_section]
      )
      div_points = np.array(section_sizes).cumsum()
      if is_np_array():
          slices = _mx_np.split(
              data,
              indices_or_sections=list(div_points[1:-1]),
              axis=batch_axis,
          )
      else:
          slices = []
          for i in range(num_slice):
              st = div_points[i]
              end = div_points[i + 1]
              slices.append(
                  ndarray.slice_axis(
                      data, axis=batch_axis, begin=st, end=end
                  )
              )
      return slices
  
imports: import os
  import sys
  import hashlib
  import uuid
  import warnings
  import collections
  import weakref
  import requests
  import numpy
  from ..None import ndarray
  from ..util import is_np_shape, is_np_array, TemporaryDirectory
  from ..None import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: split_data(data, num_slice, batch_axis, even_split) and returns: slices