| 37 | |
| 38 | template<typename T> |
| 39 | dim4 calcPackedSize(Array<T> const& i1, Array<T> const& i2, const dim_t rank) { |
| 40 | const dim4& i1d = i1.dims(); |
| 41 | const dim4& i2d = i2.dims(); |
| 42 | |
| 43 | dim_t pd[4] = {1, 1, 1, 1}; |
| 44 | |
| 45 | // Pack both signal and filter on same memory array, this will ensure |
| 46 | // better use of batched cuFFT capabilities |
| 47 | pd[0] = nextpow2(static_cast<unsigned>( |
| 48 | static_cast<int>(ceil(i1d[0] / 2.f)) + i2d[0] - 1)); |
| 49 | |
| 50 | for (dim_t k = 1; k < rank; k++) { |
| 51 | pd[k] = nextpow2(static_cast<unsigned>(i1d[k] + i2d[k] - 1)); |
| 52 | } |
| 53 | |
| 54 | dim_t i1batch = 1; |
| 55 | dim_t i2batch = 1; |
| 56 | for (int k = rank; k < 4; k++) { |
| 57 | i1batch *= i1d[k]; |
| 58 | i2batch *= i2d[k]; |
| 59 | } |
| 60 | pd[rank] = (i1batch + i2batch); |
| 61 | |
| 62 | return dim4(pd[0], pd[1], pd[2], pd[3]); |
| 63 | } |
| 64 | |
| 65 | template<typename T> |
| 66 | Array<T> fftconvolve(Array<T> const& signal, Array<T> const& filter, |