f35ac5443e5028bd677d844cb1e7d724c4d41900,examples/pytorch/gcn/gcn_spmv.py,GCN,forward,#GCN#Any#,62

Before Change

            self.g.update_all(fn.copy_src(src="h", out="m"),
                              fn.sum(msg="m", out="h"),
                              layer)
        return self.g.pop_n_repr("h")

def evaluate(model, features, labels, mask):
    model.eval()
    with torch.no_grad():

After Change

        self.layers.append(GCNLayer(g, n_hidden, n_classes, None, dropout))

    def forward(self, features):
        h = features
        for layer in self.layers:
            h = layer(h)
        return h

def evaluate(model, features, labels, mask):
    model.eval()
    with torch.no_grad():

Instances