def __init__()

in source/sagemaker/sagemaker_graph_fraud_detection/dgl_fraud_detection/model/mxnet.py [0:0]

• 28 lines of code
• 3 McCabe index (conditional complexity)

    def __init__(self,
                 g,
                 in_dim,
                 num_hidden,
                 num_classes,
                 num_layers,
                 heads,
                 activation,
                 feat_drop,
                 attn_drop,
                 alpha,
                 residual):
        super(GAT, self).__init__()
        self.g = g
        self.num_layers = num_layers
        self.gat_layers = []
        self.activation = activation
        # input projection (no residual)
        self.gat_layers.append(GATConv(
            (in_dim, in_dim), num_hidden, heads[0],
            feat_drop, attn_drop, alpha, False))
        # hidden layers
        for l in range(1, num_layers):
            # due to multi-head, the in_dim = num_hidden * num_heads
            self.gat_layers.append(GATConv(
                (num_hidden * heads[l-1], num_hidden * heads[l-1]), num_hidden, heads[l],
                feat_drop, attn_drop, alpha, residual))
        # output projection
        self.output_proj = gluon.nn.Dense(num_classes)
        for i, layer in enumerate(self.gat_layers):
            self.register_child(layer, "gat_layer_{}".format(i))
        self.register_child(self.output_proj, "dense_layer")