Migrate Dense layer

This commit is contained in:
2024-09-08 13:36:53 +02:00
parent 0dca8348bd
commit 75475790ac
24 changed files with 147 additions and 106 deletions

View File

@@ -1,5 +1,5 @@
#include "cuda_helper.cuh"
#include "layer.cuh"
#include "layer.hpp"
#include "pooling.cuh"
using namespace CUDANet;

View File

@@ -0,0 +1,69 @@
#include <cuda_runtime.h>
#include <cstdio>
#include <cstdlib>
#include <functional>
#include <iostream>
#include "vector.cuh"
#include "activation.hpp"
#include "cuda_helper.cuh"
#include "dense.hpp"
#include "matmul.cuh"
using namespace CUDANet::Layers;
void Dense::initCUDA() {
d_output = nullptr;
CUDA_CHECK(cudaMalloc((void**)&d_output, sizeof(float) * outputSize));
d_weights = nullptr;
d_biases = nullptr;
// Allocate GPU memory for weights and biases
CUDA_CHECK(
cudaMalloc((void**)&d_weights, sizeof(float) * inputSize * outputSize)
);
CUDA_CHECK(cudaMalloc((void**)&d_biases, sizeof(float) * outputSize));
toCuda();
// Calculate block and grid sizes
forwardGridSize =
(std::max(inputSize, outputSize) + BLOCK_SIZE - 1) / BLOCK_SIZE;
biasGridSize = (outputSize + BLOCK_SIZE - 1) / BLOCK_SIZE;
}
void Dense::delCUDA() {
cudaFree(d_output);
cudaFree(d_weights);
cudaFree(d_biases);
}
void Dense::toCuda() {
CUDA_CHECK(cudaMemcpy(
d_weights, weights.data(), sizeof(float) * inputSize * outputSize,
cudaMemcpyHostToDevice
));
CUDA_CHECK(cudaMemcpy(
d_biases, biases.data(), sizeof(float) * outputSize,
cudaMemcpyHostToDevice
));
}
float* Dense::forwardCUDA(const float* d_input) {
Kernels::mat_vec_mul<<<forwardGridSize, BLOCK_SIZE>>>(
d_weights, d_input, d_output, inputSize, outputSize
);
CUDA_CHECK(cudaGetLastError());
Kernels::vec_vec_add<<<biasGridSize, BLOCK_SIZE>>>(
d_biases, d_output, d_output, outputSize
);
CUDA_CHECK(cudaGetLastError());
activation->activate(d_output);
CUDA_CHECK(cudaDeviceSynchronize());
return d_output;
}