l as F

class Model(nn.Module):
    def __init__(self):
        super(Model, self).__init__()
        self.conv1 = nn.Conv2d(1, 20, 5)
        self.conv2 = nn.Conv2d(20, 20, 5)

    def forward(self, x):
        x = F.relu(self.conv1(x))
        return F.relu(self.conv2(x))
</code></pre>

<p>Submodules assigned in this way will be registered, and will have their
parameters converted too when you call <code><a href="#Encoder.to">to</a></code>, etc.</p>

<p>:ivar training: Boolean represents whether this modu