Linear# class Linear(in_features, out_features, bias=True, compute_mode='default', **kwargs)[source]# A QATModule version of Linear. Could be applied with Observer and FakeQuantize. Parameters: in_features (int) – size of each input sample. out_features (int) – size of each output sample. bias (bool) – If set to False, the layer will not learn an additive bias. Default: True classmethod from_float_module(float_module)[source]# Return a QATModule instance converted from a float Module instance.