def METHOD_NAME(self):
    tf.compat.v1.disable_eager_execution()
    tf.compat.v1.reset_default_graph()
    input_constant_name = "input_constant"
    relu_name = "relu"
    float_graph_def = graph_pb2.GraphDef()
    input_constant = QuantizeGraphHelper.create_constant_node(
        input_constant_name, value=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=dtypes.float32, shape=[1, 2, 6, 1]
    )
    float_graph_def.node.extend([input_constant])
    relu_node = QuantizeGraphHelper.create_node("Relu", relu_name, [input_constant_name])
    QuantizeGraphHelper.set_attr_dtype(relu_node, "T", dtypes.float32)
    float_graph_def.node.extend([relu_node])
    b_constant_name = "b_constant"
    mat_mul_name = "mat_mul"
    b_constant = QuantizeGraphHelper.create_constant_node(
        b_constant_name, value=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=dtypes.float32, shape=[2, 6]
    )
    float_graph_def.node.extend([b_constant])
    mat_mul_node = QuantizeGraphHelper.create_node("MatMul", mat_mul_name, [relu_name, b_constant_name])
    QuantizeGraphHelper.set_attr_dtype(mat_mul_node, "T", dtypes.float32)
    QuantizeGraphHelper.set_attr_bool(mat_mul_node, "transpose_a", False)
    QuantizeGraphHelper.set_attr_bool(mat_mul_node, "transpose_b", False)
    float_graph_def.node.extend([mat_mul_node])
    bias_add_name = "bias_add"
    offset_constant_name = "offset_constant"
    offset_constant = QuantizeGraphHelper.create_constant_node(
        offset_constant_name, value=[1, 2, 3, 4, 5, 6], dtype=dtypes.float32, shape=[6]
    )
    float_graph_def.node.extend([offset_constant])
    bias_add_node = QuantizeGraphHelper.create_node("BiasAdd", bias_add_name, [mat_mul_name, offset_constant_name])
    QuantizeGraphHelper.set_attr_dtype(bias_add_node, "T", dtypes.float32)
    float_graph_def.node.extend([bias_add_node])
    post_relu_name = "post_relu"
    post_relu_node = QuantizeGraphHelper.create_node("Relu", post_relu_name, [bias_add_name])
    float_graph_def.node.extend([post_relu_node])
    last_identity_node_name = "last_identity"
    last_identity_node = QuantizeGraphHelper.create_node("Identity", last_identity_node_name, [post_relu_name])
    float_graph_def.node.extend([last_identity_node])
    last_identity_right_node_name = "last_identity_right"
    last_identity_node_right = QuantizeGraphHelper.create_node(
        "Identity", last_identity_right_node_name, [post_relu_name]
    )
    float_graph_def.node.extend([last_identity_node_right])
    analyzer = GraphAnalyzer()
    analyzer.graph = float_graph_def
    analyzer.parse_graph()
    res = analyzer.query_fusion_pattern_nodes([["BiasAdd"], ("Relu"), ("Identity")])
    self.assertEqual(2, len(res))