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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
Anthony Barbier6db0ff52018-01-05 10:59:12 +00002 * Copyright (c) 2017, 2018 ARM Limited.
Anthony Barbier6ff3b192017-09-04 18:44:23 +01003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
Anthony Barbier15d5ac82017-07-17 15:22:17 +010024#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
25#error "This example needs to be built with -DARM_COMPUTE_CL"
26#endif /* ARM_COMPUTE_CL */
27
Anthony Barbier6ff3b192017-09-04 18:44:23 +010028#include "arm_compute/core/Types.h"
29#include "arm_compute/runtime/CL/CLFunctions.h"
30#include "arm_compute/runtime/CL/CLScheduler.h"
31#include "utils/Utils.h"
32
33using namespace arm_compute;
34using namespace utils;
35
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +000036class CLEventsExample : public Example
Anthony Barbier6ff3b192017-09-04 18:44:23 +010037{
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +000038public:
39 void do_setup(int argc, char **argv) override
Anthony Barbier6ff3b192017-09-04 18:44:23 +010040 {
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +000041 /** [OpenCL events] **/
42 PPMLoader ppm;
43 constexpr int scale_factor = 2;
44
45 CLScheduler::get().default_init();
46
47 if(argc < 2)
48 {
49 // Print help
50 std::cout << "Usage: ./build/cl_events [input_image.ppm]\n\n";
51 std::cout << "No input_image provided, creating a dummy 640x480 image\n";
52 // Create an empty grayscale 640x480 image
53 src.allocator()->init(TensorInfo(640, 480, Format::U8));
54 }
55 else
56 {
57 ppm.open(argv[1]);
58 ppm.init_image(src, Format::U8);
59 }
60
61 TensorInfo dst_info(src.info()->dimension(0) / scale_factor, src.info()->dimension(1) / scale_factor, Format::U8);
62
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);
67
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);
72
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
79 // Fill the input image with the content of the PPM image if a filename was provided:
80 if(ppm.is_open())
81 {
82 ppm.fill_image(src);
83 output_filename = std::string(argv[1]) + "_out.ppm";
84 }
85 /** [OpenCL events] **/
Anthony Barbier6ff3b192017-09-04 18:44:23 +010086 }
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +000087 void do_run() override
Anthony Barbier6ff3b192017-09-04 18:44:23 +010088 {
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +000089 // Enqueue and flush the scale OpenCL kernel:
90 scale.run();
91 // Create a synchronisation event between scale and median:
92 cl::Event scale_event = CLScheduler::get().enqueue_sync_event();
93 // Enqueue and flush the median OpenCL kernel:
94 median.run();
95 // Enqueue and flush the Gaussian OpenCL kernel:
96 gauss.run();
97
98 //Make sure all the OpenCL jobs are done executing:
99 scale_event.wait(); // Block until Scale is done executing (Median3x3 and Gaussian5x5 might still be running)
100 CLScheduler::get().sync(); // Block until Gaussian5x5 is done executing
101 }
102 void do_teardown() override
103 {
104 // Save the result to file:
105 if(!output_filename.empty())
106 {
107 save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
108 }
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100109 }
110
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +0000111private:
112 CLImage src{}, tmp_scale_median{}, tmp_median_gauss{}, dst{};
113 CLScale scale{};
114 CLMedian3x3 median{};
115 CLGaussian5x5 gauss{};
116 std::string output_filename{};
117};
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100118
119/** Main program for convolution test
120 *
121 * @param[in] argc Number of arguments
122 * @param[in] argv Arguments ( [optional] Path to PPM image to process )
123 */
Anthony Barbier6db0ff52018-01-05 10:59:12 +0000124int main(int argc, char **argv)
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100125{
Michalis Spyrou2b5f0f22018-01-10 14:08:50 +0000126 return utils::run_example<CLEventsExample>(argc, argv);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100127}