class_docstr: Represent a single graph with additional attributes.
class_docstr_tok: ["Represent","a","single","graph","with","additional","attributes","."]
docstr: Copy all the information related to the batching.
  Parameters
  ----------
  batch:
      The source batch from which the information comes.
  
  Returns
  -------
  None
code: def copy_batch_info(self, batch: Any) -> None:
      """
      Copy all the information related to the batching.
      Parameters
      ----------
      batch:
          The source batch from which the information comes.
  
      Returns
      -------
      None
      """
      self._is_batch = True
      self.batch = batch.batch
      self.device = batch.device
      self.batch_size = batch.batch_size
      self._batch_num_edges = batch._batch_num_edges
      self._batch_num_nodes = batch._batch_num_nodes
  
imports: import os
  import warnings
  from collections import namedtuple
  from typing import Any, Callable, Dict, List, Tuple, Union
  import dgl
  import scipy.sparse
  import torch
  from torch.nn.utils.rnn import pad_sequence
  from .utils import EdgeNotFoundException, SizeMismatchException, check_and_expand, entail_zero_padding, int_to_list, slice_to_list
  from .views import BatchEdgeFeatView, BatchNodeFeatView, EdgeView, NodeFeatView, NodeView
label_desc: Use image node_id 31 for calling the GraphData obj's underlying member method code with example usage: obj.copy_batch_info(batch) without return types