class_docstr: Wrapper over internal CUDA memory allocators.
code: def allocator(self):
      return self._allocator
  
imports: import collections
  import contextlib
  import ctypes
  import pickle
  import sys
  import warnings
  from inspect import signature
  from typing import Any, Dict, Optional, Tuple, Union
  import torch
  from torch import _C
  from torch.types import Device
  from .None import _get_device_index, _get_nvml_device_index, _lazy_init, is_initialized
  from ._memory_viz import memory, segments
  from ._utils import _dummy_type
label_desc: Use image node_id 2 for calling the _CUDAAllocator obj's underlying member method code with example usage: obj.allocator() and returns: self