code: def reshape_and_gather(self, report, key):
      if key in report:
          num_dims = report[key].dim()
          if num_dims == 1:
              report[key] = gather_tensor(report[key]).view(-1)
          elif num_dims >= 2:
              # Collect dims other than batch
              other_dims = report[key].size()[1:]
              report[key] = gather_tensor(report[key]).view(
                  -1, *other_dims
              )
  
      return report
  
imports: import csv
  import json
  import logging
  import os
  import warnings
  from dataclasses import dataclass, field
  from typing import List
  import pytorch_lightning
  from mmf.common.registry import registry
  from mmf.common.sample import convert_batch_to_sample_list
  from mmf.utils.configuration import get_mmf_env
  from mmf.utils.distributed import gather_tensor, is_main
  from mmf.utils.file_io import PathManager
  from mmf.utils.general import ckpt_name_from_core_args, foldername_from_config_override
  from mmf.utils.logger import log_class_usage
  from mmf.utils.timer import Timer
  from omegaconf import OmegaConf
  from torch.utils.data import Dataset
label_desc: Use image node_id 13 for calling the TestReporter obj's underlying member method code with example usage: obj.reshape_and_gather(report, key) and returns: report