Files
CUDANet/src/utils/vector.cu

107 lines
2.7 KiB
Plaintext

#include <iostream>
#include <vector>
#include "vector.cuh"
#include "matmul.cuh"
#include "cuda_helper.cuh"
using namespace CUDANet;
void Utils::print_vec(const float* d_vec, const unsigned int length) {
std::vector<float> h_vec(length);
CUDA_CHECK(cudaMemcpy(
h_vec.data(), d_vec, sizeof(float) * length, cudaMemcpyDeviceToHost
));
for (int i = 0; i < length; ++i) {
std::cout << h_vec[i] << ", ";
}
std::cout << std::endl;
}
void Utils::clear(float* d_vec, const unsigned int length) {
CUDA_CHECK(cudaMemset(d_vec, 0, sizeof(float) * length));
}
void Utils::max(const float* d_vec, float* d_max, const unsigned int length) {
const int grid_size = (length + BLOCK_SIZE - 1) / BLOCK_SIZE;
Kernels::max_reduce<<<grid_size, BLOCK_SIZE>>>(d_vec, d_max, length);
CUDA_CHECK(cudaGetLastError());
int remaining = grid_size;
while (remaining > 1) {
int blocks_needed = (remaining + BLOCK_SIZE - 1) / BLOCK_SIZE;
CUDANet::Kernels::max_reduce<<<blocks_needed, BLOCK_SIZE>>>(d_max, d_max, remaining);
CUDA_CHECK(cudaGetLastError());
remaining = blocks_needed;
}
}
void Utils::sum(const float* d_vec, float* d_sum, const unsigned int length) {
const int gridSize = (length + BLOCK_SIZE - 1) / BLOCK_SIZE;
CUDANet::Kernels::sum_reduce<<<gridSize, BLOCK_SIZE>>>(
d_vec, d_sum, length
);
CUDA_CHECK(cudaGetLastError());
int remaining = gridSize;
while (remaining > 1) {
int blocks_needed = (remaining + BLOCK_SIZE - 1) / BLOCK_SIZE;
CUDANet::Kernels::sum_reduce<<<blocks_needed, BLOCK_SIZE>>>(d_sum, d_sum, remaining);
CUDA_CHECK(cudaGetLastError());
remaining = blocks_needed;
}
}
void Utils::mean(const float* d_vec, float* d_mean, float *d_length, int length) {
Utils::sum(d_vec, d_mean, length);
const int gridSize = (length + BLOCK_SIZE - 1) / BLOCK_SIZE;
Kernels::vec_scalar_div<<<gridSize, BLOCK_SIZE>>>(
d_mean,
d_mean,
d_length,
length
);
CUDA_CHECK(cudaGetLastError());
}
void Utils::var(float* d_vec, float* d_var, float *d_length, const unsigned int length) {
const int gridSize = (length + BLOCK_SIZE - 1) / BLOCK_SIZE;
Kernels::vec_vec_mul<<<gridSize, BLOCK_SIZE>>>(
d_vec,
d_vec,
d_var,
length
);
CUDA_CHECK(cudaGetLastError());
// Sum over all differences
Utils::sum(
d_var,
d_var,
length
);
// Divide by difference sum / length -> variance
Kernels::vec_scalar_div<<<gridSize, BLOCK_SIZE>>>(
d_var,
d_var,
d_length,
length
);
CUDA_CHECK(cudaGetLastError());
}