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/*
* Copyright (c) 2017-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */
#error "This example needs to be built with -DARM_COMPUTE_CL"
#endif /* ARM_COMPUTE_CL */
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/functions/CLGaussian5x5.h"
#include "arm_compute/runtime/CL/functions/CLMedian3x3.h"
#include "arm_compute/runtime/CL/functions/CLScale.h"
#include "utils/ImageLoader.h"
#include "utils/Utils.h"
using namespace arm_compute;
using namespace utils;
class CLEventsExample : public Example
{
public:
bool do_setup(int argc, char **argv) override
{
/** [OpenCL events] **/
PPMLoader ppm;
constexpr int scale_factor = 2;
CLScheduler::get().default_init();
if(argc < 2)
{
// Print help
std::cout << "Usage: ./build/cl_events [input_image.ppm]\n\n";
std::cout << "No input_image provided, creating a dummy 640x480 image\n";
// Create an empty grayscale 640x480 image
src.allocator()->init(TensorInfo(640, 480, Format::U8));
}
else
{
ppm.open(argv[1]);
ppm.init_image(src, Format::U8);
}
TensorInfo dst_info(src.info()->dimension(0) / scale_factor, src.info()->dimension(1) / scale_factor, Format::U8);
// Configure the temporary and destination images
dst.allocator()->init(dst_info);
tmp_scale_median.allocator()->init(dst_info);
tmp_median_gauss.allocator()->init(dst_info);
//Configure the functions:
scale.configure(&src, &tmp_scale_median, ScaleKernelInfo{ InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::REPLICATE });
median.configure(&tmp_scale_median, &tmp_median_gauss, BorderMode::REPLICATE);
gauss.configure(&tmp_median_gauss, &dst, BorderMode::REPLICATE);
// Allocate all the images
src.allocator()->allocate();
dst.allocator()->allocate();
tmp_scale_median.allocator()->allocate();
tmp_median_gauss.allocator()->allocate();
// Fill the input image with the content of the PPM image if a filename was provided:
if(ppm.is_open())
{
ppm.fill_image(src);
output_filename = std::string(argv[1]) + "_out.ppm";
}
/** [OpenCL events] **/
return true;
}
void do_run() override
{
// Enqueue and flush the scale OpenCL kernel:
scale.run();
// Create a synchronisation event between scale and median:
cl::Event scale_event = CLScheduler::get().enqueue_sync_event();
// Enqueue and flush the median OpenCL kernel:
median.run();
// Enqueue and flush the Gaussian OpenCL kernel:
gauss.run();
//Make sure all the OpenCL jobs are done executing:
scale_event.wait(); // Block until Scale is done executing (Median3x3 and Gaussian5x5 might still be running)
CLScheduler::get().sync(); // Block until Gaussian5x5 is done executing
}
void do_teardown() override
{
// Save the result to file:
if(!output_filename.empty())
{
save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
}
}
private:
CLImage src{}, tmp_scale_median{}, tmp_median_gauss{}, dst{};
CLScale scale{};
CLMedian3x3 median{};
CLGaussian5x5 gauss{};
std::string output_filename{};
};
/** Main program for convolution test
*
* @param[in] argc Number of arguments
* @param[in] argv Arguments ( [optional] Path to PPM image to process )
*/
int main(int argc, char **argv)
{
return utils::run_example<CLEventsExample>(argc, argv);
}