Linear
class torch.ao.nn.quantized.Linear(in_features, out_features, bias_=True, dtype=torch.qint8)
A quantized linear module with quantized tensor as inputs and
   outputs. We adopt the same interface as torch.nn.Linear, please
   see https://pytorch.org/docs/stable/nn.html#torch.nn.Linear for
   documentation.
Similar to "Linear", attributes will be randomly initialized at
   module creation time and will be overwritten later
Variables:
      * weight (Tensor) -- the non-learnable quantized weights
        of the module of shape (\text{out_features},
        \text{in_features}).
  * **bias** (*Tensor*) -- the non-learnable bias of the module of
    shape (\text{out\_features}). If "bias" is "True", the values
    are initialized to zero.

  * **scale** -- *scale* parameter of output Quantized Tensor,
    type: double

  * **zero_point** -- *zero_point* parameter for output Quantized
    Tensor, type: long

Examples: