lin_bn_drop.python

def lin_bn_drop(self, n_in:int, n_out:int, bn:bool=True, p:float=0., actn:Optional[nn.Module]=None):
        "Sequence of batchnorm (if `bn`), dropout (with `p`) and linear (`n_in`,`n_out`) layers followed by `actn`."
        layers = [nn.Linear(n_in, n_out)]
        if bn:
            layers.append(nn.BatchNorm1d(n_out))
        if p > 0: 
            layers.append(nn.Dropout(p))
        if actn is not None: 
            layers.append(actn)
        return layers