def METHOD_NAME(
    batch,
    in_size,
    in_channel,
    num_filter,
    kernel,
    stride,
    padding,
    activation_bits,
    weight_bits,
    unipolar,
    use_relu=False,
):
    in_height = in_width = in_size
    input_type = "uint32"
    out_dtype = "int16"
    device = "llvm -device=arm_cpu -model=bcm2837 -mtriple=armv7l-linux-gnueabihf -mattr=+neon"
    with tvm.target.Target(device):
        A = te.placeholder((batch, in_height, in_width, in_channel), dtype=input_type, name="A")
        W = te.placeholder((kernel, kernel, in_channel, num_filter), dtype=input_type, name="W")
        B = topi.arm_cpu.bitserial_conv2d_nhwc(
            A, W, stride, padding, activation_bits, weight_bits, "uint8", out_dtype, unipolar
        )
        if use_relu:
            B = topi.nn.relu(B)
        s = topi.arm_cpu.schedule_bitserial_conv2d_nhwc([B])
    func = tvm.build(s, [A, W, B], device)
    assembly = func.get_source("asm")
    matches = re.findall("vpadal", assembly)
    assert len(matches) > 0
    matches = re.findall("vcnt", assembly)
    assert len(matches) > 0
    matches = re.findall("vpadd", assembly)
    assert len(matches) > 0
    dev = tvm.device(device, 0)
    if "arm" not in os.uname()[4]:
        print("Skipped running code, not an arm device")
        return
    print("Running on target: %s" % device)
    def get_ref_data():
        a_np = generate_quantized_np(get_const_tuple(A.shape), activation_bits, input_type)
        w_np = generate_quantized_np(get_const_tuple(W.shape), weight_bits, input_type)
        if unipolar:
            w_ = np.copy(w_np).astype(out_dtype)
            for x in np.nditer(w_, op_flags=["readwrite"]):
                x[...] = 1 if x == 1 else -1
            b_np = tvm.topi.testing.conv2d_nhwc_python(a_np, w_, stride, padding).astype(out_dtype)
        else:
            b_np = tvm.topi.testing.conv2d_nhwc_python(a_np, w_np, stride, padding).astype(
                out_dtype
            )
        return a_np, w_np, b_np
    a_np, w_np, b_np = get_ref_data()
    a = tvm.nd.array(a_np, dev)
    w = tvm.nd.array(w_np, dev)
    b = tvm.nd.array(np.zeros(get_const_tuple(B.shape), dtype=B.dtype), dev)
    func = tvm.build(s, [A, W, B], device)
    func(a, w, b)
    np.testing.assert_allclose(b.numpy(), b_np, rtol=1e-5)