code: def max_memory_reserved(self, device_index=None):
      if hasattr(torch.npu, "max_memory_reserved"):
          return torch.npu.max_memory_reserved(device_index)
  
imports: import importlib
  import inspect
  from .abstract_accelerator import DeepSpeedAccelerator
label_desc: Use image node_id 32 for calling the NPU_Accelerator obj's underlying member method code with example usage: obj.max_memory_reserved(device_index) and returns: torch