2 * Copyright (c) 2017 ARM Limited.
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24 #define ARM_COMPUTE_CL /* So that OpenCL exceptions get caught too */
25 #include "arm_compute/core/Types.h"
26 #include "arm_compute/runtime/CL/CLFunctions.h"
27 #include "arm_compute/runtime/CL/CLScheduler.h"
28 #include "test_helpers/Utils.h"
30 using namespace arm_compute;
31 using namespace test_helpers;
33 void main_cl_events(int argc, const char **argv)
35 /** [OpenCL events] **/
37 CLImage src, tmp_scale_median, tmp_median_gauss, dst;
38 constexpr int scale_factor = 2;
40 CLScheduler::get().default_init();
45 std::cout << "Usage: ./build/cl_events [input_image.ppm]\n\n";
46 std::cout << "No input_image provided, creating a dummy 640x480 image\n";
47 // Create an empty grayscale 640x480 image
48 src.allocator()->init(TensorInfo(640, 480, Format::U8));
53 ppm.init_image(src, Format::U8);
56 // Declare and configure the functions to create the following pipeline: scale -> median -> gauss
61 TensorInfo dst_info(src.info()->dimension(0) / scale_factor, src.info()->dimension(1) / scale_factor, Format::U8);
63 // Configure the temporary and destination images
64 dst.allocator()->init(dst_info);
65 tmp_scale_median.allocator()->init(dst_info);
66 tmp_median_gauss.allocator()->init(dst_info);
68 //Configure the functions:
69 scale.configure(&src, &tmp_scale_median, InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE);
70 median.configure(&tmp_scale_median, &tmp_median_gauss, BorderMode::REPLICATE);
71 gauss.configure(&tmp_median_gauss, &dst, BorderMode::REPLICATE);
73 // Allocate all the images
74 src.allocator()->allocate();
75 dst.allocator()->allocate();
76 tmp_scale_median.allocator()->allocate();
77 tmp_median_gauss.allocator()->allocate();
78 // Fill the input image with the content of the PPM image if a filename was provided:
84 // Enqueue and flush the scale OpenCL kernel:
86 // Create a synchronisation event between scale and median:
87 cl::Event scale_event = CLScheduler::get().enqueue_sync_event();
88 // Enqueue and flush the median OpenCL kernel:
90 // Enqueue and flush the Gaussian OpenCL kernel:
93 //Make sure all the OpenCL jobs are done executing:
94 scale_event.wait(); // Block until Scale is done executing (Median3x3 and Gaussian5x5 might still be running)
95 CLScheduler::get().sync(); // Block until Gaussian5x5 is done executing
97 // Save the result to file:
100 const std::string output_filename = std::string(argv[1]) + "_out.ppm";
101 save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
103 /** [OpenCL events] **/
106 /** Main program for convolution test
107 * @param[in] argc Number of arguments
108 * @param[in] argv Arguments ( [optional] Path to PPM image to process )
110 int main(int argc, const char **argv)
112 return test_helpers::run_example(argc, argv, main_cl_events);