meshrcnn/modeling/roi_heads/mesh_head.py [156:167]:
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        self.gconvs = nn.ModuleList()
        for i in range(stage_depth):
            if i == 0:
                input_dim = hidden_dim + vert_feat_dim + 3
            else:
                input_dim = hidden_dim + 3
            gconv = GraphConv(input_dim, hidden_dim, init=gconv_init, directed=False)
            self.gconvs.append(gconv)

        # initialization
        nn.init.normal_(self.bottleneck.weight, mean=0.0, std=0.01)
        nn.init.constant_(self.bottleneck.bias, 0)
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shapenet/modeling/heads/mesh_head.py [72:83]:
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        self.gconvs = nn.ModuleList()
        for i in range(stage_depth):
            if i == 0:
                input_dim = hidden_dim + vert_feat_dim + 3
            else:
                input_dim = hidden_dim + 3
            gconv = GraphConv(input_dim, hidden_dim, init=gconv_init, directed=False)
            self.gconvs.append(gconv)

        # initialization for bottleneck and vert_offset
        nn.init.normal_(self.bottleneck.weight, mean=0.0, std=0.01)
        nn.init.constant_(self.bottleneck.bias, 0)
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