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1 change: 1 addition & 0 deletions app/CMakeLists.txt
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add_subdirectory(example)
add_subdirectory(layer_example)
2 changes: 1 addition & 1 deletion app/example/CMakeLists.txt
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@@ -1 +1 @@
add_executable(example main.cpp)
add_executable(example main.cpp)
9 changes: 9 additions & 0 deletions app/layer_example/CMakeLists.txt
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set(ARM_DIR "${CMAKE_SOURCE_DIR}/3rdparty/ComputeLibrary")

add_executable(ElementwiseLayer ElementwiseLayer.cpp)

include_directories(${ARM_DIR})
include_directories(${ARM_DIR}/include)
target_link_directories(ElementwiseLayer PUBLIC ${ARM_DIR}/build)

target_link_libraries(ElementwiseLayer arm_compute)
76 changes: 76 additions & 0 deletions app/layer_example/ElementwiseLayer.cpp
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#include "arm_compute/runtime/NEON/NEFunctions.h"
#include "utils/Utils.h"

#include <iostream>
using namespace arm_compute;
using namespace utils;

class ElementwiseLayer {
const int input_width = 5;
const int input_height = 5;

Tensor input1, input2, output;

public:
void fill() {
input1.allocator()->init(TensorInfo(TensorShape(input_width, input_height, 1), 1, DataType::F32));
input2.allocator()->init(TensorInfo(TensorShape(input_width, input_height, 1), 1, DataType::F32));
output.allocator()->init(TensorInfo(TensorShape(input_width, input_height, 1), 1, DataType::F32));

input1.allocator()->allocate();
input2.allocator()->allocate();
output.allocator()->allocate();

fill_random_tensor(input1, 0.f, 1.f);
fill_random_tensor(input2, 0.f, 1.f);
}

void SquaredDiff() {
NEElementwiseSquaredDiff elementwise;
elementwise.configure(&input1, &input2, &output);
elementwise.run();
}

void Division() {
NEElementwiseDivision elementwise;
elementwise.configure(&input1, &input2, &output);
elementwise.run();
}

void Addition() {
NEArithmeticAddition add;
add.configure(&input1, &input2, &output, ConvertPolicy::WRAP);
add.run();
}

void Swish() {
NEActivationLayer act;
act.configure(&input1, &input2, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SWISH));
act.run();
}

void Abs() {
NEActivationLayer act;
act.configure(&input1, &input2, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS));
act.run();
}

void Sigmoid() {
NEActivationLayer act;
act.configure(&input1, &input2, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC));
act.run();
}

void print() {
output.print(std::cout);
}
};

int main() {
ElementwiseLayer a;
a.fill();
a.Addition();
a.print();

return 0;
}
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