LinearReLU
class torch.ao.nn.intrinsic.qat.LinearReLU(in_features, out_features, bias=True, qconfig=None)
A LinearReLU module fused from Linear and ReLU modules, attached
   with FakeQuantize modules for weight, used in quantization aware
   training.
We adopt the same interface as "torch.nn.Linear".
Similar to torch.nn.intrinsic.LinearReLU, with FakeQuantize
   modules initialized to default.
Variables:
      weight (torch.Tensor) -- fake quant module for weight
Examples:
  >>> m = nn.qat.LinearReLU(20, 30)
  >>> input = torch.randn(128, 20)
  >>> output = m(input)
  >>> print(output.size())
  torch.Size([128, 30])
