code: def dequantize_tensor(self, qweight, max_abs):
      qweight_flatten = qweight.flatten()
  
      weight_normed = self.norm_lookup_table[qweight_flatten]
      weight = weight_normed * max_abs
  
      weight = weight.reshape(qweight.shape)
  
      return weight
  
file_path: peft/src/peft/utils/loftq_utils.py
imports: import logging
  from typing import Union
  import torch
  from peft.import_utils import is_bnb_4bit_available, is_bnb_available
label_desc: Use image node_id 5 for calling the NFQuantizer obj's underlying member method code with example usage: obj.dequantize_tensor(qweight, max_abs) and returns: weight