def METHOD_NAME(self, _seed, input_size, use_cuda):
    if not torch.cuda.is_available() and use_cuda is True:
        pytest.skip("Skipping CUDA test cases for CPU only setups")
    ref_input = generate_input(input_size)
    ref_scale, ref_threshold = generate_scale_threshold(input_size)
    test_input, test_scale, test_threshold = get_test_data([ref_input, ref_scale, ref_threshold], use_cuda)
    ref_value = RACT.forward(ref_input, ref_scale, ref_threshold)
    test_value = activation_bin_scale_threshold_op(test_input, test_scale, test_threshold)
    PTTensorListComparator.check_equal(test_value, ref_value, rtol=1e-3)