code: def classification_single_values_collate_fn(values_list, index):
      """
      Collate function used to merge the single elements (x or y or t,
      etcetera) of a minibatch of data from a classification dataset.
  
      This function expects a flat list of tensors [X, Y, Z, ...] to be collated.
      For a version of the functions that can collate pre-batched values
      [mb_size, X, Y, Z, ...], refer to
      :func:`classification_single_values_collate_mbatches_fn`.
  
      This function assumes that all values are tensors of the same shape.
  
      :param values_list: The list of values to merge.
      :param index: The index of the element. 0 for x values, 1 for y values,
          etcetera. In this implementation, this parameter is ignored.
      :return: The merged values.
      """
      return torch.stack(values_list)
  
file_path: avalanche/avalanche/benchmarks/utils/collate_functions.py
imports: import itertools
  from abc import ABC, abstractmethod
  from collections import defaultdict
  from typing import List, TypeVar, Generic, Sequence, Tuple, Dict, Union, overload
  from typing_extensions import TypeAlias
  import torch
  from torch import Tensor
  from torch.utils.data import default_collate
label_desc: Use image node_id 3 for calling a global function with example usage: classification_single_values_collate_fn(values_list, index) and returns: torch