class_docstr: An abstract class that defines a data source.
class_docstr_tok: ["An","abstract","class","that","defines","a","data","source","."]
docstr: Load data dictionaries indexed by indices in parallel.
code: def parallel_get_items(self, item_ids, scale_factor=1.0):
      """Load data dictionaries indexed by indices in parallel."""
      load_fn = functools.partial(
          self.get_item, scale_factor=scale_factor
      )
      data_list = utils.parallel_map(load_fn, item_ids)
      data_dict = utils.tree_collate(data_list)
      return data_dict
  
imports: import abc
  import functools
  import itertools
  from typing import Any, Iterable, Optional, Sequence, Union
  from absl import logging
  from flax import jax_utils
  import jax
  import numpy
  import tensorflow
  from nerfies import camera
  from nerfies import gpath
  from nerfies import image_utils
  from nerfies import tf_camera
  from nerfies import utils
  from tensorflow.python.data.util import nest
label_desc: Use image node_id 30 for calling the DataSource obj's underlying member method code with example usage: obj.parallel_get_items(item_ids, scale_factor) and returns: data_dict