| 23 | |
| 24 | template<typename T> |
| 25 | void gradient(Param<T> grad0, Param<T> grad1, CParam<T> in) { |
| 26 | constexpr unsigned TX = 32; |
| 27 | constexpr unsigned TY = 8; |
| 28 | |
| 29 | auto gradient = |
| 30 | common::getKernel("arrayfire::cuda::gradient", {{gradient_cuh_src}}, |
| 31 | TemplateArgs(TemplateTypename<T>()), |
| 32 | {{DefineValue(TX), DefineValue(TY)}}); |
| 33 | |
| 34 | dim3 threads(TX, TY, 1); |
| 35 | |
| 36 | int blocksPerMatX = divup(in.dims[0], TX); |
| 37 | int blocksPerMatY = divup(in.dims[1], TY); |
| 38 | dim3 blocks(blocksPerMatX * in.dims[2], blocksPerMatY * in.dims[3], 1); |
| 39 | |
| 40 | const int maxBlocksY = getDeviceProp(getActiveDeviceId()).maxGridSize[1]; |
| 41 | blocks.z = divup(blocks.y, maxBlocksY); |
| 42 | blocks.y = divup(blocks.y, blocks.z); |
| 43 | |
| 44 | EnqueueArgs qArgs(blocks, threads, getActiveStream()); |
| 45 | |
| 46 | gradient(qArgs, grad0, grad1, in, blocksPerMatX, blocksPerMatY); |
| 47 | POST_LAUNCH_CHECK(); |
| 48 | } |
| 49 | |
| 50 | } // namespace kernel |
| 51 | } // namespace cuda |
nothing calls this directly
no test coverage detected