()
| 38 | |
| 39 | |
| 40 | def setup_cupy(): |
| 41 | global cupy |
| 42 | global cupy_stream |
| 43 | global square_diff_kernel |
| 44 | global mix_channels_kernel |
| 45 | global gray_scale_kernel |
| 46 | import cupy as cupy |
| 47 | |
| 48 | cupy_stream = cupy.cuda.Stream() |
| 49 | square_diff_kernel = cupy.ElementwiseKernel("T x, T y", "T z", "z = x*x - y*y", "square_diff") |
| 50 | |
| 51 | mix_channels_kernel = cupy.ElementwiseKernel( |
| 52 | "uint8 x, uint8 y", "uint8 z", "z = (i % 3) ? x : y", "mix_channels" |
| 53 | ) |
| 54 | |
| 55 | gray_scale_kernel = cupy.RawKernel( |
| 56 | r""" |
| 57 | extern "C" __global__ |
| 58 | void gray_scale(float *output, const unsigned char *input, long long height, long long width) { |
| 59 | int tidx = blockIdx.x * blockDim.x + threadIdx.x; |
| 60 | int tidy = blockIdx.y * blockDim.y + threadIdx.y; |
| 61 | if (tidx < width && tidy < height) { |
| 62 | float r = input[tidy * width + tidx] / 255.; |
| 63 | float g = input[tidy * width + tidx + 1] / 255.; |
| 64 | float b = input[tidy * width + tidx + 2] / 255.; |
| 65 | output[tidy * width + tidx] = 0.299 * r + 0.59 * g + 0.11 * b; |
| 66 | } |
| 67 | } |
| 68 | """, |
| 69 | "gray_scale", |
| 70 | ) |
| 71 | |
| 72 | |
| 73 | def random_seed(): |
no outgoing calls
no test coverage detected