I found a way to make it work.
stage 1: allocate 2 vectors:
bc::vector<std::complex<float>> vec{ {1.0f, 2.0f}, {3.0f, 4.0f}, {5.0f, 6.0f} };
bc::vector<float> result(3);
stage 2: interpret the complex vector as a float buffer iterator
buffer_iterator
is quite useful when you have a strongly typed vector and would like to pass it to an algorithm as a different type.
auto beginf = bc::make_buffer_iterator<float>(vec.get_buffer(), 0);
auto endf = bc::make_buffer_iterator<float>(vec.get_buffer(), 6); // note end point to final index + 1
stage 3: define strided iterators so that we can use the same buffer as the argument for tan2. each iterator iterates the buffers in strides of 2 indices, and they supply tan2 with interleaved access to the buffer:
auto begin_a = bc::make_strided_iterator(beginf + 1, 2); // access imaginary part
auto end_a = bc::make_strided_iterator_end(beginf + 1, endf , 2);
auto begin_b = bc::make_strided_iterator(beginf, 2); // access real part
finally, call transform:
bc::transform(begin_a, end_a, begin_b, result.begin(), bc::atan2<float>()); // atan(b/a)
bc::system::default_queue().finish();