code: def __init__(
      self, core_context: core.Context, storage_path: str
  ) -> None:
      super().__init__()
      self._core_context = core_context
      self._distributed = core_context.distributed
      self.device = get_default_device(core_context)
      self._tensorboard_path = core_context.train.get_tensorboard_path()
      self._storage_path = storage_path
      self._use_default_storage = False
      self._hparams = None
  
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 TorchBatchProcessorContext object from inherited base classes: pytorch with example: obj = TorchBatchProcessorContext(core_context, storage_path)