code: def replace_lora_linear(
      model,
      r=2,
      lora_alpha=1,
      lora_dropout=0,
      layer="",
      quant_type=None,
      use_ckpting=[],
      threshold=6.0,
      compute_dtype=torch.float16,
  ):
      """
      Function replacing layers with LoRa layers recursively.
      Args:
          model:
          r: rank of matrix of the Low Rank layer
          lora_alpha: cf paper
          lora_dropout: cf paper
          layer: layer name of the model to be replaced
          quant_type: use bnb to quantize nn.Linear sub-layer
      """
      for name, module in model.named_children():
          if (
              hasattr(module, "children")
              and len(list(module.children())) > 0
          ):
              replace_lora_linear(
                  module,
                  r=r,
                  lora_alpha=lora_alpha,
                  lora_dropout=lora_dropout,
                  layer=layer,
                  quant_type=quant_type,
                  use_ckpting=use_ckpting,
                  threshold=threshold,
                  compute_dtype=compute_dtype,
              )
  
          if isinstance(module, nn.Linear) and name == layer:
              model._modules[name] = QLoraLinear(
                  module.in_features,
                  module.out_features,
                  r=r,
                  lora_alpha=lora_alpha,
                  lora_dropout=lora_dropout,
                  bias=module.bias is not None,
                  quant_type=quant_type,
                  use_ckpting=use_ckpting,
                  threshold=threshold,
                  compute_dtype=compute_dtype,
              )
      return model
  
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 3 for calling a global function with example usage: replace_lora_linear(model, r, lora_alpha, lora_dropout, layer, quant_type, use_ckpting, threshold, compute_dtype) and returns: model