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Add a MatMul Layer example #34

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5f1561b
Add layer examples
chekalexey Jan 8, 2025
58a016c
Add layer examples
chekalexey Jan 8, 2025
a19ca04
fixed
chekalexey Feb 11, 2025
6f75b73
correction of inclusions
chekalexey Feb 25, 2025
968c92a
Update cmakelist
chekalexey Feb 25, 2025
7c87d3d
Add a ElementwiseLayer Example
chekalexey Mar 11, 2025
9bfa382
Add a pooling layer example
chekalexey Mar 18, 2025
f02551d
add a MatmulLayer example
chekalexey Mar 25, 2025
f81c4bc
Delete ElementwiseLayer.cpp
chekalexey Mar 25, 2025
87764d6
Delete ConvolutionLayer.cpp
chekalexey Mar 25, 2025
2561b5e
Delete PoolingLayer.cpp
chekalexey Mar 25, 2025
daaa472
Update CMakeLists
chekalexey Mar 25, 2025
aa8d4f1
Update CMakeLists
chekalexey Mar 25, 2025
2e2fe44
Update Cmakelist
chekalexey Mar 25, 2025
e874928
correction
chekalexey Mar 25, 2025
0cd5425
Update CMakeLists
chekalexey Apr 15, 2025
d7cf926
Add dependencies in CMakeLists
chekalexey Apr 22, 2025
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1 change: 1 addition & 0 deletions app/CMakeLists.txt
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Original file line number Diff line number Diff line change
@@ -1 +1,2 @@
add_subdirectory(example)
add_subdirectory(layer_example)
2 changes: 1 addition & 1 deletion app/example/CMakeLists.txt
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Original file line number Diff line number Diff line change
@@ -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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@@ -0,0 +1,9 @@
set(ARM_DIR "${CMAKE_SOURCE_DIR}/3rdparty/ComputeLibrary")

add_executable(MatMul MatMulLayer.cpp)

include_directories(${ARM_DIR})
include_directories(${ARM_DIR}/include)
link_directories(${ARM_DIR}/build)
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@aobolensk aobolensk Apr 8, 2025

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Suggested change
link_directories(${ARM_DIR}/build)
target_link_directories(MatMul PUBLIC ${ARM_DIR}/build)


target_link_libraries(MatMul arm_compute)
32 changes: 32 additions & 0 deletions app/layer_example/MatMulLayer.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;

int main() {
Tensor input1;
Tensor input2;
Tensor output;

const int input_width = 5;
const int input_height = 5;

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);

NEMatMul m;
m.configure(&input1, &input2, &output, MatMulInfo(), CpuMatMulSettings(), ActivationLayerInfo());
m.run();

output.print(std::cout);
}
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