code: def build_validation_data_loader(
      self,
  ) -> Union[pytorch.DataLoader, torch.utils.data.DataLoader]:
      dataset = LinearDataset(
          1, 1, self.ds_config.train_micro_batch_size_per_gpu
      )
      dataloader = pytorch.DataLoader(
          dataset,
          batch_size=self.ds_config.train_micro_batch_size_per_gpu,
      )
      if (
          self.hparams.test_manual_dataloader
          or self.hparams.test_fail_dataset_repro_check
      ):
          return dataloader.get_data_loader(repeat=True)
      return dataloader
  
imports: from typing import Any, Dict, Iterator, Optional, Tuple, Union
  import attrdict
  import deepspeed
  import deepspeed.runtime.dataloader
  import numpy
  import torch
  import determined.pytorch.deepspeed
  import tests.experiment.fixtures.pytorch_counter_callback
  from determined import pytorch
label_desc: Use image node_id 1 for calling the InvalidValidDatasetTrial obj's underlying member method code with example usage: obj.build_validation_data_loader() and returns: dataloader, dataloader