code: def range_pop(self):
      if hasattr(torch.cuda.nvtx, "range_pop"):
          return torch.cuda.nvtx.range_pop()
  
imports: from deepspeed.accelerator.abstract_accelerator import DeepSpeedAccelerator
  import torch.cuda
label_desc: Use image node_id 39 for calling the CUDA_Accelerator obj's underlying member method code with example usage: obj.range_pop() and returns: torch