def METHOD_NAME():
    tflite = pytest.importorskip("tflite")
    tensorflow = pytest.importorskip("tensorflow")
    import tensorflow as tf
    inp = (224, 224, 9)
    input_shape = (1, *inp)
    kernel_shape = (3, 3)
    padding = (1, 1, 1, 1)
    padding_out = (1, 33, 33, 1)
    @tf.function
    def simple_net(x):
        weight_shape = [kernel_shape[0], kernel_shape[1], input_shape[3], 3]
        weights = tf.constant(np.random.uniform(size=weight_shape), dtype=tf.float32)
        weight_shape[2] = 3
        weights1 = tf.constant(np.random.uniform(size=weight_shape), dtype=tf.float32)
        weights2 = tf.constant(np.random.uniform(size=weight_shape), dtype=tf.float32)
        op = tf.nn.conv2d(
            x,
            filters=weights,
            strides=1,
            padding="SAME",
            data_format="NHWC",
            dilations=1,
        )
        op1 = tf.nn.conv2d(
            op,
            filters=weights1,
            strides=1,
            padding="SAME",
            data_format="NHWC",
            dilations=1,
        )
        op2 = tf.nn.conv2d(
            op,
            filters=weights2,
            strides=1,
            padding="SAME",
            data_format="NHWC",
            dilations=1,
        )
        op = tf.concat([op1, op2], 1)
        op = tf.pad(
            op,
            [[0, 0], [padding[0], padding_out[1]], [padding_out[2], padding[3]], [0, 0]],
            "CONSTANT",
        )
        return op
    _, tflite_graph = get_tflite_graph(simple_net, [input_shape])
    # Get TFLite model from buffer
    try:
        import tflite
        tflite_model = tflite.Model.GetRootAsModel(tflite_graph, 0)
    except AttributeError:
        import tflite.Model
        tflite_model = tflite.Model.Model.GetRootAsModel(tflite_graph, 0)
    mod, params = relay.frontend.from_tflite(tflite_model)
    mod = tag_suffixes(mod)
    mod = partition_for_ethosu(mod, params)
    operations_distribution = analyze_operations_distribution(mod)
    expected = {
        "Identity": ["generic", "generic"],
        "concat": ["ethos-u", "ethos-u.concat"],
        "Conv2D_11": ["ethos-u", "ethos-u.qnn_conv2d"],
        "Conv2D1": ["ethos-u", "ethos-u.qnn_conv2d"],
        "Conv2D_221": ["ethos-u", "ethos-u.qnn_conv2d"],
    }
    assert operations_distribution == expected