code: def convert_predict_rdd_to_xshard(data, prediction_rdd):
      import numpy as np
  
      def group_index(iter):
          for data in iter:
              size = get_size(data["x"])
              for i in range(size):
                  yield size
  
      def transform_predict(predictions):
          # case 1: each prediction is a list of np array
          if isinstance(predictions[0], list):
              return [
                  np.array(
                      [prediction[i] for prediction in predictions]
                  )
                  for i in range(len(predictions[0]))
              ]
          # case 2: each prediction is a single np array
          else:
              return np.array(predictions)
  
      def group(iter):
          this_index = 0
          buffer = []
          this_count = None
          for count, pred in iter:
              if this_index == 0:
                  this_count = count
              if this_index < this_count:
                  buffer.append(pred)
                  this_index += 1
              if this_index == this_count:
                  yield transform_predict(buffer)
                  buffer.clear()
                  this_index = 0
  
      def add_pred(shard_pred):
          shard, pred = shard_pred
          shard["prediction"] = pred
          return shard
  
      indexed_rdd = data.rdd.mapPartitions(group_index)
      grouped_pred = indexed_rdd.zip(prediction_rdd).mapPartitions(
          group
      )
      result_rdd = data.rdd.zip(grouped_pred).map(add_pred)
      return SparkXShards(result_rdd)
  
imports: from contextlib import closing
  import socket
  import sys
  import tempfile
  import shutil
  from bigdl.dllib.utils import log4Error
  from bigdl.dllib.utils.common import callBigDlFunc
  from bigdl.dllib.utils.file_utils import get_file_list, is_local_path
  from bigdl.orca.data import SparkXShards
  from bigdl.orca.data.utils import get_size
  from bigdl.orca.data.file import put_local_dir_tree_to_remote, put_local_file_to_remote, get_remote_file_to_local, get_remote_dir_to_local
  from bigdl.dllib.utils.utils import convert_row_to_numpy
  from functools import partial
  import numpy
  from bigdl.orca.common import SafePickle
  import os
  import subprocess
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 2 for calling a global function with example usage: convert_predict_rdd_to_xshard(data, prediction_rdd) and returns: SparkXShards, shard, unknown, np