2 * Copyright (c) 2017 ARM Limited.
4 * SPDX-License-Identifier: MIT
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:
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
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
24 #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 */
28 #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"
33 using namespace arm_compute;
34 using namespace utils;
36 void main_cl_events(int argc, const char **argv)
38 /** [OpenCL events] **/
40 CLImage src, tmp_scale_median, tmp_median_gauss, dst;
41 constexpr int scale_factor = 2;
43 CLScheduler::get().default_init();
48 std::cout << "Usage: ./build/cl_events [input_image.ppm]\n\n";
49 std::cout << "No input_image provided, creating a dummy 640x480 image\n";
50 // Create an empty grayscale 640x480 image
51 src.allocator()->init(TensorInfo(640, 480, Format::U8));
56 ppm.init_image(src, Format::U8);
59 // Declare and configure the functions to create the following pipeline: scale -> median -> gauss
64 TensorInfo dst_info(src.info()->dimension(0) / scale_factor, src.info()->dimension(1) / scale_factor, Format::U8);
66 // Configure the temporary and destination images
67 dst.allocator()->init(dst_info);
68 tmp_scale_median.allocator()->init(dst_info);
69 tmp_median_gauss.allocator()->init(dst_info);
71 //Configure the functions:
72 scale.configure(&src, &tmp_scale_median, InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE);
73 median.configure(&tmp_scale_median, &tmp_median_gauss, BorderMode::REPLICATE);
74 gauss.configure(&tmp_median_gauss, &dst, BorderMode::REPLICATE);
76 // Allocate all the images
77 src.allocator()->allocate();
78 dst.allocator()->allocate();
79 tmp_scale_median.allocator()->allocate();
80 tmp_median_gauss.allocator()->allocate();
81 // Fill the input image with the content of the PPM image if a filename was provided:
87 // Enqueue and flush the scale OpenCL kernel:
89 // Create a synchronisation event between scale and median:
90 cl::Event scale_event = CLScheduler::get().enqueue_sync_event();
91 // Enqueue and flush the median OpenCL kernel:
93 // Enqueue and flush the Gaussian OpenCL kernel:
96 //Make sure all the OpenCL jobs are done executing:
97 scale_event.wait(); // Block until Scale is done executing (Median3x3 and Gaussian5x5 might still be running)
98 CLScheduler::get().sync(); // Block until Gaussian5x5 is done executing
100 // Save the result to file:
103 const std::string output_filename = std::string(argv[1]) + "_out.ppm";
104 save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
106 /** [OpenCL events] **/
109 /** Main program for convolution test
111 * @param[in] argc Number of arguments
112 * @param[in] argv Arguments ( [optional] Path to PPM image to process )
114 int main(int argc, const char **argv)
116 return utils::run_example(argc, argv, main_cl_events);