def METHOD_NAME(self):
    """Get the quantized Ops."""
    count = 0
    remove_redundant_quant_flag = False
    op_wise_config_name_list = list(self.op_wise_config.keys())
    all_node_length = len(self.op_wise_config)
    for _, node in enumerate(self.input_graph.node):
        if node in self.input_graph.node and node.op in self.transformers and node.name in self.op_wise_config:
            count += 1
            if count == all_node_length:
                remove_redundant_quant_flag = True
            _, quantizable_nodes = self.transformers[node.op](
                input_graph=self.input_graph,
                patterns=self.op_wise_seq[node.op],
                remove_redundant_quant_flag=remove_redundant_quant_flag,
                op_wise_config_name_list=op_wise_config_name_list,
                op_wise_cfg=self.op_wise_config[node.name],
                start_node_name=node.name,
                device=self.device,
                fake_quant=self.fake_quant,
                new_api=self.new_api,
                performance_only=self.performance_only,
                itex_mode=self.itex_mode,
            ).get_longest_fuse()
            if quantizable_nodes:
                if quantizable_nodes[-1] == "QuantizeV2":
                    quantizable_nodes.pop()
                if quantizable_nodes[0] == "Dequantize":
                    quantizable_nodes.pop(0)
                if node.op in ("ConcatV2", "MaxPool", "MaxPool3D", "AvgPool"):
                    self.all_quantizable_node.extend([[i] for i in quantizable_nodes])
                else:
                    self.all_quantizable_node.append(quantizable_nodes)
    return self.all_quantizable_node