process.cpp
#include <chrono>
#include <cstdio>
#include "lens_blur.h"
#include "lens_blur_auto_schedule.h"
#include "HalideBuffer.h"
#include "halide_benchmark.h"
#include "halide_image_io.h"
using namespace Halide::Runtime;
using namespace Halide::Tools;
int main(int argc, char **argv) {
if (argc < 7) {
printf("Usage: ./process input.png slices focus_depth blur_radius_scale aperture_samples timing_iterations output.png\n"
"e.g.: ./process input.png 32 13 0.5 32 3 output.png\n");
return 0;
}
// Let the Halide runtime hold onto GPU allocations for
// intermediates and reuse them instead of eagerly freeing
// them. cuMemAlloc/cuMemFree is slower than the algorithm!
halide_reuse_device_allocations(nullptr, true);
Buffer<uint8_t> left_im = load_image(argv[1]);
Buffer<uint8_t> right_im = load_image(argv[1]);
uint32_t slices = atoi(argv[2]);
uint32_t focus_depth = atoi(argv[3]);
float blur_radius_scale = atof(argv[4]);
uint32_t aperture_samples = atoi(argv[5]);
Buffer<float> output(left_im.width(), left_im.height(), 3);
int timing_iterations = atoi(argv[6]);
lens_blur(left_im, right_im, slices, focus_depth, blur_radius_scale,
aperture_samples, output);
// Timing code
// Manually-tuned version
double min_t_manual = benchmark(timing_iterations, 10, [&]() {
lens_blur(left_im, right_im, slices, focus_depth, blur_radius_scale,
aperture_samples, output);
output.device_sync();
});
printf("Manually-tuned time: %gms\n", min_t_manual * 1e3);
// Auto-scheduled version
double min_t_auto = benchmark(timing_iterations, 10, [&]() {
lens_blur_auto_schedule(left_im, right_im, slices, focus_depth,
blur_radius_scale, aperture_samples, output);
output.device_sync();
});
printf("Auto-scheduled time: %gms\n", min_t_auto * 1e3);
convert_and_save_image(output, argv[7]);
printf("Success!\n");
return 0;
}