docstr: Saves the dataloader to a path.
  
  Args:
      path (Union[str, Path]): Path to save the dataloader
docstr_tok: ["Saves","the","dataloader","to","a","path",".","Args",":","path","(","Union","[","str",",","Path","]",")",":","Path","to","save","the","dataloader"]
code: def save_dataloader(self, path: Union[str, Path]) -> None:
      """Saves the dataloader to a path.
  
      Args:
          path (Union[str, Path]): Path to save the dataloader
      """
      if isinstance(path, str):
          path = Path(path)
      joblib.dump(self, path)
  
imports: import re
  import warnings
  from enum import Enum
  from pathlib import Path
  from typing import Dict, Iterable, List, Optional, Tuple, Union
  import joblib
  import numpy
  import pandas
  import pytorch_lightning
  import torch
  from omegaconf import DictConfig
  from pandas import DataFrame, DatetimeTZDtype, to_datetime
  from pandas.tseries import offsets
  from pandas.tseries.frequencies import to_offset
  from sklearn.base import TransformerMixin, copy
  from sklearn.preprocessing import FunctionTransformer, LabelEncoder, PowerTransformer, QuantileTransformer, StandardScaler
  from torch.utils.data import DataLoader, Dataset
  from pytorch_tabular.config import InferredConfig
  from pytorch_tabular.utils import get_logger
  from .categorical_encoders import OrdinalEncoder
label_desc: Use image node_id 39 for calling the TabularDatamodule obj's underlying member method code with example usage: obj.save_dataloader(path) without return types