Class Torch_Model

examples/pytorch_integration.py:18–41

# build class for the skorch API
class Torch_Model(nn.Module):
    def __init__(self,):
        super(Torch_Model, self).__init__()
        self.convs = nn.Sequential(
                                nn.Conv2d(1,32,3),
                                nn.ReLU(),
                                nn.Conv2d(32,64,3),
                                nn.ReLU(),
                                nn.MaxPool2d(2),
                                nn.Dropout(0.25)
        )
        self.fcs = nn.Sequential(
                                nn.Linear(12*12*64,128),
                                nn.ReLU(),
                                nn.Dropout(0.5),
                                nn.Linear(128,10),
        )

    def forward(self, x):
        out = x
        out = self.convs(out)
        out = out.view(-1,12*12*64)
        out = self.fcs(out)
        return out


# create the classifier