docstr: User can initialize necessary resources in the init function, such as
  model for prediction
  
  Arguments:
      context: an TorchBatchProcessorContext instance
code: def __init__(self, context: TorchBatchProcessorContext) -> None:
      """
      User can initialize necessary resources in the init function, such as
      model for prediction
  
      Arguments:
          context: an TorchBatchProcessorContext instance
      """
      pass
  
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 1 to create a new TorchBatchProcessor object  with example: obj = TorchBatchProcessor(context)