python/dglke/models/mxnet/score_fun.py [343:369]:
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    def prepare(self, g, gpu_id, trace=False):
        pass

    def create_neg_prepare(self, neg_head):
        def fn(rel_id, num_chunks, head, tail, gpu_id, trace=False):
            return head, tail
        return fn

    def update(self, gpu_id=-1):
        pass

    def reset_parameters(self):
        pass

    def save(self, path, name):
        pass

    def load(self, path, name):
        pass

    def forward(self, g):
        g.apply_edges(lambda edges: self.edge_func(edges))

    def create_neg(self, neg_head):
        if neg_head:
            def fn(heads, relations, tails, num_chunks, chunk_size, neg_sample_size):
                hidden_dim = heads.shape[1]
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python/dglke/models/pytorch/score_fun.py [321:348]:
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    def prepare(self, g, gpu_id, trace=False):
        pass

    def create_neg_prepare(self, neg_head):
        def fn(rel_id, num_chunks, head, tail, gpu_id, trace=False):
            return head, tail

        return fn

    def update(self, gpu_id=-1):
        pass

    def reset_parameters(self):
        pass

    def save(self, path, name):
        pass

    def load(self, path, name):
        pass

    def forward(self, g):
        g.apply_edges(lambda edges: self.edge_func(edges))

    def create_neg(self, neg_head):
        if neg_head:
            def fn(heads, relations, tails, num_chunks, chunk_size, neg_sample_size):
                hidden_dim = heads.shape[1]
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