2 * Copyright (c) 2016, 2018 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 /** Gaussian 3x3 matrix
38 const int16_t gaussian3x3[] =
45 /** Gaussian 5x5 matrix
47 const int16_t gaussian5x5[] =
56 class CLConvolutionExample : public Example
59 void do_setup(int argc, char **argv) override
63 CLScheduler::get().default_init();
68 std::cout << "Usage: ./build/cl_convolution [input_image.ppm]\n\n";
69 std::cout << "No input_image provided, creating a dummy 640x480 image\n";
70 // Create an empty grayscale 640x480 image
71 src.allocator()->init(TensorInfo(640, 480, Format::U8));
76 ppm.init_image(src, Format::U8);
79 // Configure the temporary and destination images
80 tmp.allocator()->init(*src.info());
81 dst.allocator()->init(*src.info());
83 // Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:
84 conv3x3.configure(&src, &tmp, gaussian3x3, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
85 conv5x5.configure(&tmp, &dst, gaussian5x5, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
87 // Allocate all the images
88 src.allocator()->allocate();
89 tmp.allocator()->allocate();
90 dst.allocator()->allocate();
91 // Fill the input image with the content of the PPM image if a filename was provided:
95 output_filename = std::string(argv[1]) + "_out.ppm";
98 void do_run() override
100 // Execute the functions:
104 // Make sure all the OpenCL jobs are done executing:
105 CLScheduler::get().sync();
107 void do_teardown() override
109 // Save the result to file:
110 if(!output_filename.empty())
112 save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
115 CLImage src{}, tmp{}, dst{};
116 CLConvolution3x3 conv3x3{};
117 CLConvolution5x5 conv5x5{};
118 std::string output_filename{};
121 /** Main program for convolution test
123 * @param[in] argc Number of arguments
124 * @param[in] argv Arguments ( [optional] Path to PPM image to process )
126 int main(int argc, char **argv)
128 return utils::run_example<CLConvolutionExample>(argc, argv);