code: def get_fixed_dataloader(self, dataset):
      indices = self.__ordered_subset_indexes__(dataset=dataset)
      sampler = FixedSampler(indices=indices)
      return DataLoader(
          dataset,
          batch_size=self.batch_size,
          num_workers=self.num_workers,
          pin_memory=self.pin_memory,
          sampler=sampler,
          shuffle=False,
          persistent_workers=self.persistent_workers,
      )
  
imports: import enum
  import logging
  import pickle
  from dataclasses import dataclass, replace
  from pathlib import Path
  from typing import Any, Dict, List, Optional
  from typing_extensions import dataclass_transform
  import dask
  import dask.dataframe
  import pandas
  import numpy
  import pytorch_lightning
  import torch
  from pandas.tseries.offsets import MonthEnd
  from torch.utils.data import DataLoader, Dataset, WeightedRandomSampler
  from ..tasks.base import Task, collate_encoded_documents
  from .sampler import FixedSampler
  from .dataset import DocumentDataset, ShardedDocumentDataset
  from .decorators import save_parquet, save_pickle
  from .ops import concat_columns_dask, concat_sorted
  from .populations.base import Population
  from .serialize import DATA_ROOT, ValidationError, _jsonify
  from .sources.base import Field, TokenSource
  from .vocabulary import Vocabulary
label_desc: Use image node_id 3 for calling the CLSDataModule obj's underlying member method code with example usage: obj.get_fixed_dataloader(dataset) and returns: DataLoader