docstr: This is only an evaluation dataset, so there should be only test_dataloader
docstr_tok: ["This","is","only","an","evaluation","dataset",",","so","there","should","be","only","test_dataloader"]
code: def test_dataloader(self) -> torch.utils.data.DataLoader:
      """
      This is only an evaluation dataset, so there should be only test_dataloader
      """
      dataset = torchvision.datasets.ImageFolder(
          root=self.data_dir, transform=self._transforms()
      )
      return torch.utils.data.DataLoader(
          dataset,
          batch_size=self._batch_size,
          num_workers=self.num_workers,
          pin_memory=self.pin_memory,
          collate_fn=self._custom_collate,
      )
  
file_path: NeuralCompression/projects/torch_vct/datamodules/uvg.py
imports: from typing import Optional
  import torch
  import torch.utils.data
  import torchvision
  from datamodules.video_data_api import VideoDataset
  from pytorch_lightning import LightningDataModule
  from pytorchvideo.transforms import Normalize
  from torchvision.transforms import Compose, ToTensor
label_desc: Use image node_id 4 for calling the UVGDataModule obj's underlying member method code with example usage: obj.test_dataloader() and returns: torch