code: def get_hparams(self) -> Dict[str, Any]:
      if self._hparams is None:
          info = det.get_cluster_info()
          assert (
              info
          ), "Must run TorchBatchProcessor in a cluster to run get_hparams()"
          assert (
              info.task_type == "TRIAL"
          ), "TorchBatchProcessor must be run inside of a Trial"
          self._hparams = info.trial.hparams
      assert self._hparams is not None
      return self._hparams
  
imports: import abc
  import json
  import logging
  import math
  import os
  import pathlib
  import uuid
  import warnings
  from typing import TYPE_CHECKING, Any, ContextManager, Dict, Optional, Set, Sized, Type
  import torch
  import torch.distributed
  from torch import nn
  from torch.utils import data
  import determined
  from determined import common, core, pytorch
label_desc: Use image node_id 2 for calling the TorchBatchProcessorContext obj's underlying member method code with example usage: obj.get_hparams() and returns: self