code: def _make_taskaware_tensor_classification_dataset(
      *dataset_tensors: Sequence,
      transform: Optional[XTransform] = None,
      target_transform: Optional[YTransform] = None,
      transform_groups: Optional[
          Dict[str, Tuple[XTransform, YTransform]]
      ] = None,
      initial_transform_group: Optional[str] = "train",
      task_labels: Optional[Union[int, Sequence[int]]] = None,
      targets: Optional[Union[Sequence[TTargetType], int]] = None,
      collate_fn: Optional[Callable[[List], Any]] = None,
  ) -> Union[
      TaskAwareClassificationDataset,
      TaskAwareSupervisedClassificationDataset,
  ]:
      ...
  
imports: from functools import partial
  import torch
  from torch.utils.data.dataset import Subset, ConcatDataset, TensorDataset
  from avalanche.benchmarks.utils.utils import TaskSet, _count_unique, find_common_transforms_group, _init_task_labels, _init_transform_groups, _split_user_def_targets, _split_user_def_task_label, _traverse_supported_dataset
  from avalanche.benchmarks.utils.data import AvalancheDataset
  from avalanche.benchmarks.utils.transform_groups import TransformGroupDef, DefaultTransformGroups, XTransform, YTransform
  from avalanche.benchmarks.utils.data_attribute import DataAttribute
  from avalanche.benchmarks.utils.dataset_utils import SubSequence
  from avalanche.benchmarks.utils.flat_data import ConstantSequence
  from avalanche.benchmarks.utils.dataset_definitions import ISupportedClassificationDataset, ITensorDataset, IDatasetWithTargets
  from typing import List, Any, Sequence, Union, Optional, TypeVar, Callable, Dict, Tuple, Mapping, overload
label_desc: Use image node_id 12 for calling a global function with example usage: _make_taskaware_tensor_classification_dataset() without return types