class_docstr: This is the quantized equivalent of :class:`~torch.nn.Sigmoid`.
  
  Args:
      scale: quantization scale of the output tensor
      zero_point: quantization zero point of the output tensor
class_docstr_tok: ["This","is","the","quantized","equivalent","of",":","class",":","`","~torch.nn.Sigmoid","`",".","Args",":","scale",":","quantization","scale","of","the","output","tensor","zero_point",":","quantization","zero","point","of","the","output","tensor"]
code: def __init__(self, output_scale: float, output_zero_point: int):
      super().__init__()
      self.output_scale = output_scale
      self.output_zero_point = output_zero_point
  
imports: import torch
  from warnings import warn
label_desc: Use image node_id 1 to create a new Sigmoid object from inherited base classes: torch.nn with example: obj = Sigmoid(output_scale, output_zero_point)