def forward()

in utils.py [0:0]

• 7 lines of code
• 1 McCabe index (conditional complexity)

    def forward(self, g, inputs):
        """
        Run forward propagation step of instantiated model.

        Input:
            self: GCN_dev instance
            g: DGL graph object, i.e. problem definition
            inputs: Input (embedding) layer weights, to be propagated through network
        Output:
            h: Output layer weights
        """

        # input step
        h = self.conv1(g, inputs)
        h = torch.relu(h)
        h = F.dropout(h, p=self.dropout_frac)

        # output step
        h = self.conv2(g, h)
        h = torch.sigmoid(h)

        return h