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authorMichalis Spyrou <michalis.spyrou@arm.com>2018-01-10 14:08:50 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:43:10 +0000
commit2b5f0f2574551f59970bb9d710bafad2bc4bbd4a (patch)
treefd586f56b1285f0d6c52ecefc174eba0a9c8f157 /examples/neon_convolution.cpp
parent571b18a1fca4a5ed4dd24a38cb619f4de43ba3ed (diff)
downloadComputeLibrary-2b5f0f2574551f59970bb9d710bafad2bc4bbd4a.tar.gz
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>
Diffstat (limited to 'examples/neon_convolution.cpp')
-rw-r--r--examples/neon_convolution.cpp102
1 files changed, 56 insertions, 46 deletions
diff --git a/examples/neon_convolution.cpp b/examples/neon_convolution.cpp
index 79800ae897..d51d2013f6 100644
--- a/examples/neon_convolution.cpp
+++ b/examples/neon_convolution.cpp
@@ -49,62 +49,72 @@ const int16_t gaussian5x5[] =
1, 4, 6, 4, 1
};
-void main_neon_convolution(int argc, char **argv)
+class NEONConvolutionExample : public Example
{
- /** [Accurate padding] **/
- PPMLoader ppm;
- Image src, tmp, dst;
-
- if(argc < 2)
- {
- // Print help
- std::cout << "Usage: ./build/neon_convolution [input_image.ppm]\n\n";
- std::cout << "No input_image provided, creating a dummy 640x480 image\n";
- // Initialize just the dimensions and format of your buffers:
- src.allocator()->init(TensorInfo(640, 480, Format::U8));
- }
- else
+public:
+ void do_setup(int argc, char **argv) override
{
- ppm.open(argv[1]);
- // Initialize just the dimensions and format of your buffers:
- ppm.init_image(src, Format::U8);
- }
+ /** [Accurate padding] **/
+ PPMLoader ppm;
- // Initialize just the dimensions and format of the temporary and destination images:
- tmp.allocator()->init(*src.info());
- dst.allocator()->init(*src.info());
+ if(argc < 2)
+ {
+ // Print help
+ std::cout << "Usage: ./build/neon_convolution [input_image.ppm]\n\n";
+ std::cout << "No input_image provided, creating a dummy 640x480 image\n";
+ // Initialize just the dimensions and format of your buffers:
+ src.allocator()->init(TensorInfo(640, 480, Format::U8));
+ }
+ else
+ {
+ ppm.open(argv[1]);
+ // Initialize just the dimensions and format of your buffers:
+ ppm.init_image(src, Format::U8);
+ }
- NEConvolution3x3 conv3x3;
- NEConvolution5x5 conv5x5;
+ // Initialize just the dimensions and format of the temporary and destination images:
+ tmp.allocator()->init(*src.info());
+ dst.allocator()->init(*src.info());
- // Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:
- // The function will automatically update the padding information inside input and output to match its requirements
- conv3x3.configure(&src, &tmp, gaussian3x3, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
- conv5x5.configure(&tmp, &dst, gaussian5x5, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
+ // Apply a Gaussian 3x3 filter to the source image followed by a Gaussian 5x5:
+ // The function will automatically update the padding information inside input and output to match its requirements
+ conv3x3.configure(&src, &tmp, gaussian3x3, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
+ conv5x5.configure(&tmp, &dst, gaussian5x5, 0 /* Let arm_compute calculate the scale */, BorderMode::UNDEFINED);
- // Now that the padding requirements are known we can allocate the images:
- src.allocator()->allocate();
- tmp.allocator()->allocate();
- dst.allocator()->allocate();
+ // Now that the padding requirements are known we can allocate the images:
+ src.allocator()->allocate();
+ tmp.allocator()->allocate();
+ dst.allocator()->allocate();
- // Fill the input image with the content of the PPM image if a filename was provided:
- if(ppm.is_open())
+ // 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";
+ }
+ /** [Accurate padding] **/
+ }
+ void do_run() override
{
- ppm.fill_image(src);
+ //Execute the functions:
+ conv3x3.run();
+ conv5x5.run();
}
-
- //Execute the functions:
- conv3x3.run();
- conv5x5.run();
-
- // Save the result to file:
- if(ppm.is_open())
+ void do_teardown() override
{
- const std::string output_filename = std::string(argv[1]) + "_out.ppm";
- save_to_ppm(dst, output_filename);
+ // 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
+ }
}
- /** [Accurate padding] **/
-}
+
+private:
+ Image src{}, tmp{}, dst{};
+ NEConvolution3x3 conv3x3{};
+ NEConvolution5x5 conv5x5{};
+ std::string output_filename{};
+};
/** Main program for convolution test
*
@@ -113,5 +123,5 @@ void main_neon_convolution(int argc, char **argv)
*/
int main(int argc, char **argv)
{
- return utils::run_example(argc, argv, main_neon_convolution);
+ return utils::run_example<NEONConvolutionExample>(argc, argv);
}