class_docstr: An extension of the torch.Tensor class to support our inference focused features. One important
  thing to note here is that an InferenceParam can be used a torch.Tensor, but outputs of
  torch.Tensor operations will not be InferenceParams.
code: def __new__(cls, tensor, *args, **kwargs):
      new_tensor = super().__new__(cls, tensor, *args, **kwargs)
      if hasattr(tensor, "_aux_attrs"):
          setattr(new_tensor, "_aux_attrs", tensor.aux_attrs)
      return new_tensor
  
file_path: deepspeed/deepspeed/inference/v2/inference_parameter.py
imports: from typing import Dict
  import torch
label_desc: Use image node_id 1 for calling the InferenceParameter obj's underlying member method code with example usage: obj.__new__(cls, tensor) and returns: new_tensor