class_docstr: Dequantize stub module, before calibration, this is same as identity,
  this will be swapped as `nnq.DeQuantize` in `convert`.
  
  Args:
      qconfig: quantization configuration for the tensor,
          if qconfig is not provided, we will get qconfig from parent modules
class_docstr_tok: ["Dequantize","stub","module",",","before","calibration",",","this","is","same","as","identity",",","this","will","be","swapped","as","`","nnq.DeQuantize","`","in","`","convert","`",".","Args",":","qconfig",":","quantization","configuration","for","the","tensor",",","if","qconfig","is","not","provided",",","we","will","get","qconfig","from","parent","modules"]
code: def __init__(self, qconfig=None):
      super().__init__()
      if qconfig:
          self.qconfig = qconfig
  
file_path: pytorch/torch/ao/quantization/stubs.py
imports: from torch import nn
label_desc: Use image node_id 1 to create a new DeQuantStub object from inherited base classes: nn with example: obj = DeQuantStub(qconfig)