code: def construct_test_loader():
      """Test loader wrapper."""
      if cfg.DATA_LOADER.MODE == "ffcv":
          return _construct_loader_ffcv(
              dataset_name=cfg.TEST.DATASET,
              split=cfg.TEST.SPLIT,
              batch_size=int(cfg.TEST.BATCH_SIZE / cfg.NUM_GPUS),
              shuffle=False,
              drop_last=False,
          )
      return _construct_loader(
          dataset_name=cfg.TEST.DATASET,
          split=cfg.TEST.SPLIT,
          batch_size=int(cfg.TEST.BATCH_SIZE / cfg.NUM_GPUS),
          shuffle=False,
          drop_last=False,
      )
  
file_path: pycls/pycls/datasets/loader.py
imports: import os
  import torch
  from pycls.core.config import cfg
  from pycls.datasets.cifar10 import Cifar10
  from pycls.datasets.imagenet import ImageNet, ImageNetFFCV
  from torch.utils.data.distributed import DistributedSampler
  from torch.utils.data.sampler import RandomSampler
label_desc: Use image node_id 4 for calling a global function with example usage: construct_test_loader() and returns: _construct_loader, _construct_loader_ffcv