code: def __init__(
      self,
      in_features: int,
      out_features: int,
      **kwargs,
  ):
      pass
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import math
  from torch.utils.checkpoint import checkpoint
  from typing import Dict
  import os
label_desc: Use image node_id 1 to create a new QLoraLinear object  with example: obj = QLoraLinear(in_features, out_features)