diff --git a/app/CMakeLists.txt b/app/CMakeLists.txt
index a5c4dce..b704bc8 100644
--- a/app/CMakeLists.txt
+++ b/app/CMakeLists.txt
@@ -1 +1,2 @@
 add_subdirectory(example)
+add_subdirectory(layer_example)
\ No newline at end of file
diff --git a/app/example/CMakeLists.txt b/app/example/CMakeLists.txt
index 033d285..5ac1ad8 100644
--- a/app/example/CMakeLists.txt
+++ b/app/example/CMakeLists.txt
@@ -1 +1 @@
-add_executable(example main.cpp)
+add_executable(example main.cpp)
\ No newline at end of file
diff --git a/app/layer_example/CMakeLists.txt b/app/layer_example/CMakeLists.txt
new file mode 100644
index 0000000..0724019
--- /dev/null
+++ b/app/layer_example/CMakeLists.txt
@@ -0,0 +1,9 @@
+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)
\ No newline at end of file
diff --git a/app/layer_example/ElementwiseLayer.cpp b/app/layer_example/ElementwiseLayer.cpp
new file mode 100644
index 0000000..58ae43a
--- /dev/null
+++ b/app/layer_example/ElementwiseLayer.cpp
@@ -0,0 +1,76 @@
+#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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