code: def _concat_tensors(accum, cur_output, _):
      return (
          cur_output
          if accum is None
          else torch.cat([accum, cur_output])
      )
  
file_path: captum/captum/attr/_core/dataloader_attr.py
imports: from collections import defaultdict
  from copy import copy
  from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union
  import torch
  from captum._utils.common import _format_baseline, _format_feature_mask, _format_output, _format_tensor_into_tuples, _get_max_feature_index, _run_forward
  from captum._utils.typing import BaselineType
  from captum.attr._core.feature_ablation import FeatureAblation
  from captum.attr._utils.attribution import Attribution
  from torch import Tensor
label_desc: Use image node_id 1 for calling a global function with example usage: _concat_tensors(accum, cur_output, _) and returns: unknown