class_docstr: A LinearReLU module fused from Linear and ReLU modules
  
  We adopt the same interface as :class:`torch.ao.nn.quantized.Linear`.
  
  Attributes:
      Same as torch.ao.nn.quantized.Linear
  
  Examples::
  
      >>> # xdoctest: +SKIP
      >>> m = nn.intrinsic.LinearReLU(20, 30)
      >>> input = torch.randn(128, 20)
      >>> output = m(input)
      >>> print(output.size())
      torch.Size([128, 30])
code: def from_reference(
      cls, ref_linear_relu, output_scale, output_zero_point
  ):
      return super().from_reference(
          ref_linear_relu[0], output_scale, output_zero_point
      )
  
imports: import torch
  import torch.ao.nn.quantized
  import torch.ao.nn.intrinsic
  from torch.ao.nn.quantized.modules.utils import _quantize_weight
label_desc: Use image node_id 5 for calling the LinearReLU obj's underlying member method code with example usage: obj.from_reference(cls, ref_linear_relu, output_scale, output_zero_point) and returns: super