Restructure cuda backend

CMakeLists.txt

@@ -20,6 +20,7 @@ if(USE_CUDA)
 endif()
 
 file(GLOB_RECURSE CPU_SOURCES
+    src/layers/*.cpp
     src/model/*.cpp
 )
 
@@ -27,10 +28,11 @@ set(LIBRARY_SOURCES ${CPU_SOURCES})
 
 if(USE_CUDA)
     file(GLOB_RECURSE CUDA_SOURCES
-        src/*.cu
-        src/cuda/utils/*.cu
-        src/cuda/kernels/*.cu
-        src/cuda/layers/*.cu
+        src/backends/cuda/*.cu
+        src/backends/cuda/utils/*.cu
+        src/backends/cuda/kernels/*.cu
+        src/backends/cuda/layers/*.cu
+        src/layers/*.cu  # To be removed
     )
     set(LIBRARY_SOURCES ${LIBRARY_SOURCES} ${CUDA_SOURCES})
 endif()

include/layers/add.hpp

@@ -25,13 +25,23 @@ class Add {
      * @param d_inputB Device pointer to the second input
      *
      */
-    void forward(const float* d_inputA, const float* d_inputB);
+    float* forward(const float* inputA, const float* inputB);
 
   private:
     int inputSize;
+
+    float* output;
+
+    float* forwardCPU(const float* inputA, const float* inputB);
+
+#ifdef USE_CUDA
+    float* d_output;
     int gridSize;
 
-    float* d_output;
+    float* forwardCUDA(const float* d_inputA, const float* d_inputB);
+    void initCUDA();
+    void delCUDA();
+#endif
 };
 
 }  // namespace CUDANet::Layers

src/backends/cuda/layers/add.cu

@@ -1,26 +1,21 @@
-#include "add.cuh"
+#include "add.hpp"
 #include "matmul.cuh"
 #include "cuda_helper.cuh"
 
 using namespace CUDANet::Layers;
 
-
-Add::Add(int inputSize)
-    : inputSize(inputSize) {
-
+void Add::initCUDA() {
     d_output = nullptr;
     CUDA_CHECK(cudaMalloc((void**)&d_output, sizeof(float) * inputSize));
 
     gridSize = (inputSize + BLOCK_SIZE - 1) / BLOCK_SIZE;
 }
 
-
-Add::~Add() {
+void Add::delCUDA() {
     cudaFree(d_output);
 }
 
-
-void Add::forward(const float* d_inputA, const float* d_inputB) {
+float* Add::forwardCUDA(const float* d_inputA, const float* d_inputB) {
 
     Kernels::vec_vec_add<<<gridSize, BLOCK_SIZE>>>(
         d_inputA, d_inputB, d_output, inputSize
@@ -28,4 +23,6 @@ void Add::forward(const float* d_inputA, const float* d_inputB) {
     CUDA_CHECK(cudaGetLastError());
     CUDA_CHECK(cudaDeviceSynchronize());
 
-}
+    return d_output;
+
+}

src/layers/add.cpp

@@ -0,0 +1,44 @@
+#include "add.hpp"
+
+#include <stddef.h>
+
+using namespace CUDANet::Layers;
+
+
+Add::Add(int inputSize)
+    : inputSize(inputSize) {
+
+    output = new float[inputSize];
+
+#ifdef USE_CUDA
+    initCUDA();
+#endif
+    
+}
+
+
+Add::~Add() {
+#ifdef USE_CUDA
+    delCUDA();
+#endif
+}
+
+
+float* Add::forward(const float* inputA, const float* inputB) {
+
+#ifdef USE_CUDA
+    return forwardCUDA(inputA, inputB);
+#else
+    return forwardCPU(inputA, inputB);
+#endif
+
+}
+
+float* Add::forwardCPU(const float* inputA, const float* inputB) {
+    for (size_t i = 0; i < inputSize; i++)
+    {
+        output[i] = inputA[i] + inputB[i];
+    }
+
+    return output;    
+}