87601dbf79396f79bbc3af59b9627b4bd1adef44,stellargraph/layer/graphsage.py,GraphSAGEAggregator,build,#GraphSAGEAggregator#Any#,103

Before Change

        // Build a MLP model if zero neighbours
        self._build_mlp_only = input_shape[1][2] == 0

        self.w_self = self.add_weight(
            name="w_self",
            shape=(int(input_shape[0][2]), self.weight_output_size()),
            initializer=self._initializer,
            trainable=True,
        )

        if self.has_bias:
            self.bias = self.add_weight(
                name="bias",

After Change

        // Configure weights for input groups, if used.
        w_group = [None] * len(input_shape)
        for ii, g_shape in enumerate(input_shape):
            if self.included_weight_groups[ii]:
                weight = self._build_group_weights(
                    g_shape, self.weight_dims[ii], group_idx=ii
                )
                w_group[ii] = weight
        self.w_group = w_group

        // Signal that the build has completed.
        super().build(input_shape)

Instances