code: def _nvtx_range_pop():
      """If PyTorch is installed with CUDA support, this terminates NVTX range.
  
      Check torch.cuda.nvtx.range_pop's document for more details.
      """
      if torch.cuda.is_available():
          torch.cuda.nvtx.range_pop()
  
imports: import dataclasses
  import importlib
  import logging
  from typing import Any, Dict, Final, List, Mapping, Optional, Sequence, Set, Tuple, Union
  from typing_extensions import TypeAlias
  import torch
  import torch._C
  import torch._ops
  import torch._prims.executor
  import torch.fx
  from torch._subclasses.fake_tensor import FakeTensor
  from torch.fx._compatibility import compatibility
  from torch.fx.passes.fake_tensor_prop import FakeTensorProp
  from torch.fx.passes.operator_support import OperatorSupport
  from torch.fx.passes.tools_common import CALLABLE_NODE_OPS
  from torch.utils import _pytree
label_desc: Use image node_id 4 for calling a global function with example usage: _nvtx_range_pop() without return types