COMPMID-782 Port examples to the new format
Change-Id: Ib178a97c080ff650094d02ee49e2a0aa22376dd0
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/115717
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
diff --git a/examples/cl_events.cpp b/examples/cl_events.cpp
index c9c3e5d..ec02fc3 100644
--- a/examples/cl_events.cpp
+++ b/examples/cl_events.cpp
@@ -33,78 +33,88 @@
using namespace arm_compute;
using namespace utils;
-void main_cl_events(int argc, char **argv)
+class CLEventsExample : public Example
{
- /** [OpenCL events] **/
- PPMLoader ppm;
- CLImage src, tmp_scale_median, tmp_median_gauss, dst;
- constexpr int scale_factor = 2;
-
- CLScheduler::get().default_init();
-
- if(argc < 2)
+public:
+ void do_setup(int argc, char **argv) override
{
- // 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));
+ /** [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, 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] **/
}
- else
+ void do_run() override
{
- ppm.open(argv[1]);
- ppm.init_image(src, Format::U8);
+ // 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
+ }
}
- // Declare and configure the functions to create the following pipeline: scale -> median -> gauss
- CLScale scale;
- CLMedian3x3 median;
- CLGaussian5x5 gauss;
-
- 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, 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);
- }
-
- // 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
-
- // Save the result to file:
- if(ppm.is_open())
- {
- const std::string output_filename = std::string(argv[1]) + "_out.ppm";
- save_to_ppm(dst, output_filename); // save_to_ppm maps and unmaps the image to store as PPM
- }
- /** [OpenCL events] **/
-}
+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
*
@@ -113,5 +123,5 @@
*/
int main(int argc, char **argv)
{
- return utils::run_example(argc, argv, main_cl_events);
+ return utils::run_example<CLEventsExample>(argc, argv);
}