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#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN
#include <doctest.h>
#include <taskflow/taskflow.hpp>
#include <taskflow/cuda/cudaflow.hpp>
#include <taskflow/cuda/algorithm/transform.hpp>
constexpr float eps = 0.0001f;
template <typename T>
void run_and_wait(T& cf) {
tf::cudaStream stream;
cf.run(stream);
stream.synchronize();
}
// ----------------------------------------------------------------------------
// cuda transform
// ----------------------------------------------------------------------------
template <typename T>
void cuda_transform() {
tf::Taskflow taskflow;
tf::Executor executor;
for(int n=1; n<=1234567; n = (n<=100) ? n+1 : n*2 + 1) {
taskflow.emplace([n](){
tf::cudaStream stream;
tf::cudaDefaultExecutionPolicy policy(stream);
T v1 = ::rand() % 100;
T v2 = ::rand() % 100;
T* dx = tf::cuda_malloc_shared<T>(n);
T* dy = tf::cuda_malloc_shared<T>(n);
for(int i=0; i<n; i++) {
dx[i] = v1;
dy[i] = v2;
}
// transform
tf::cuda_transform(policy, dx, dx+n, dy,
[] __device__ (T x) { return x + 2; }
);
stream.synchronize();
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(dx[i] - v1) < eps);
REQUIRE(std::fabs(dy[i] - (dx[i] + 2)) < eps);
}
// transform again
tf::cuda_transform(policy, dy, dy+n, dx,
[] __device__ (T y) { return y - 4; }
);
stream.synchronize();
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(dx[i] - (v1 - 2)) < eps);
REQUIRE(std::fabs(dy[i] - (v1 + 2)) < eps);
}
// free memory
REQUIRE(cudaFree(dx) == cudaSuccess);
REQUIRE(cudaFree(dy) == cudaSuccess);
});
}
executor.run(taskflow).wait();
}
TEST_CASE("cuda_transform.int" * doctest::timeout(300)) {
cuda_transform<int>();
}
TEST_CASE("cuda_transform.float" * doctest::timeout(300)) {
cuda_transform<float>();
}
TEST_CASE("cuda_transform.double" * doctest::timeout(300)) {
cuda_transform<double>();
}
// ----------------------------------------------------------------------------
// cudaflow transform
// ----------------------------------------------------------------------------
template <typename T, typename F>
void cudaflow_transform() {
tf::Taskflow taskflow;
tf::Executor executor;
for(int n=1; n<=1234567; n = (n<=100) ? n+1 : n*2 + 1) {
taskflow.emplace([n](){
T v1 = ::rand() % 100;
T v2 = ::rand() % 100;
std::vector<T> hx, hy;
T* dx {nullptr};
T* dy {nullptr};
// allocate x
hx.resize(n, v1);
REQUIRE(cudaMalloc(&dx, n*sizeof(T)) == cudaSuccess);
// allocate y
hy.resize(n, v2);
REQUIRE(cudaMalloc(&dy, n*sizeof(T)) == cudaSuccess);
// axpy
F cf;
auto h2d_x = cf.copy(dx, hx.data(), n).name("h2d_x");
auto h2d_y = cf.copy(dy, hy.data(), n).name("h2d_y");
auto d2h_x = cf.copy(hx.data(), dx, n).name("d2h_x");
auto d2h_y = cf.copy(hy.data(), dy, n).name("d2h_y");
auto kernel = cf.transform(dx, dx+n, dy,
[] __device__ (T x) { return x + 2; }
);
kernel.succeed(h2d_x, h2d_y)
.precede(d2h_x, d2h_y);
run_and_wait(cf);
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(hx[i] - v1) < eps);
REQUIRE(std::fabs(hy[i] - (hx[i] + 2)) < eps);
}
// update the kernel and run the cf again
cf.transform(kernel, dy, dy+n, dx,
[] __device__ (T y) { return y - 4; }
);
run_and_wait(cf);
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(hx[i] - (v1 - 2)) < eps);
REQUIRE(std::fabs(hy[i] - (v1 + 2)) < eps);
}
// free memory
REQUIRE(cudaFree(dx) == cudaSuccess);
REQUIRE(cudaFree(dy) == cudaSuccess);
});
}
executor.run(taskflow).wait();
}
TEST_CASE("cudaFlow.transform.int" * doctest::timeout(300)) {
cudaflow_transform<int, tf::cudaFlow>();
}
TEST_CASE("cudaFlow.transform.float" * doctest::timeout(300)) {
cudaflow_transform<float, tf::cudaFlow>();
}
TEST_CASE("cudaFlow.transform.double" * doctest::timeout(300)) {
cudaflow_transform<double, tf::cudaFlow>();
}
TEST_CASE("cudaFlowCapturer.transform.int" * doctest::timeout(300)) {
cudaflow_transform<int, tf::cudaFlowCapturer>();
}
TEST_CASE("cudaFlowCapturer.transform.float" * doctest::timeout(300)) {
cudaflow_transform<float, tf::cudaFlowCapturer>();
}
TEST_CASE("cudaFlowCapturer.transform.double" * doctest::timeout(300)) {
cudaflow_transform<double, tf::cudaFlowCapturer>();
}
// ----------------------------------------------------------------------------
// cuda transform2
// ----------------------------------------------------------------------------
template <typename T>
void cuda_transform2() {
tf::Taskflow taskflow;
tf::Executor executor;
for(int n=1; n<=1234567; n = (n<=100) ? n+1 : n*2 + 1) {
taskflow.emplace([n](){
tf::cudaStream stream;
tf::cudaDefaultExecutionPolicy policy(stream);
T v1 = ::rand() % 100;
T v2 = ::rand() % 100;
T v3 = ::rand() % 1000;
T* dx = tf::cuda_malloc_shared<T>(n);
T* dy = tf::cuda_malloc_shared<T>(n);
T* dz = tf::cuda_malloc_shared<T>(n);
for(int i=0; i<n; i++) {
dx[i] = v1;
dy[i] = v2;
dz[i] = v3;
}
// transform
tf::cuda_transform(policy, dx, dx+n, dy, dz,
[] __device__ (T x, T y) { return x + y; }
);
stream.synchronize();
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(dx[i] - v1) < eps);
REQUIRE(std::fabs(dy[i] - v2) < eps);
REQUIRE(std::fabs(dz[i] - dx[i] - dy[i]) < eps);
}
// free memory
REQUIRE(cudaFree(dx) == cudaSuccess);
REQUIRE(cudaFree(dy) == cudaSuccess);
});
}
executor.run(taskflow).wait();
}
TEST_CASE("cuda_transform2.int" * doctest::timeout(300)) {
cuda_transform2<int>();
}
TEST_CASE("cuda_transform2.float" * doctest::timeout(300)) {
cuda_transform2<float>();
}
TEST_CASE("cuda_transform2.double" * doctest::timeout(300)) {
cuda_transform2<double>();
}
// ----------------------------------------------------------------------------
// cudaflow transform2
// ----------------------------------------------------------------------------
template <typename T, typename F>
void cudaflow_transform2() {
tf::Taskflow taskflow;
tf::Executor executor;
for(int n=1; n<=1234567; n = (n<=100) ? n+1 : n*2 + 1) {
taskflow.emplace([n](){
T v1 = ::rand() % 100;
T v2 = ::rand() % 100;
T v3 = ::rand() % 100;
std::vector<T> hx, hy, hz;
T* dx {nullptr};
T* dy {nullptr};
T* dz {nullptr};
// allocate x
hx.resize(n, v1);
REQUIRE(cudaMalloc(&dx, n*sizeof(T)) == cudaSuccess);
// allocate y
hy.resize(n, v2);
REQUIRE(cudaMalloc(&dy, n*sizeof(T)) == cudaSuccess);
// allocate z
hz.resize(n, v3);
REQUIRE(cudaMalloc(&dz, n*sizeof(T)) == cudaSuccess);
// axpy
F cf;
auto h2d_x = cf.copy(dx, hx.data(), n).name("h2d_x");
auto h2d_y = cf.copy(dy, hy.data(), n).name("h2d_y");
auto h2d_z = cf.copy(dz, hz.data(), n).name("h2d_z");
auto d2h_x = cf.copy(hx.data(), dx, n).name("d2h_x");
auto d2h_y = cf.copy(hy.data(), dy, n).name("d2h_y");
auto d2h_z = cf.copy(hz.data(), dz, n).name("d2h_z");
auto kernel = cf.transform(dx, dx+n, dy, dz,
[] __device__ (T x, T y) { return x + y; }
);
kernel.succeed(h2d_x, h2d_y, h2d_z)
.precede(d2h_x, d2h_y, d2h_z);
run_and_wait(cf);
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(hx[i] - v1) < eps);
REQUIRE(std::fabs(hy[i] - v2) < eps);
REQUIRE(std::fabs(hz[i] - v1 - v2) < eps);
}
// update the kernel and run the cf again
// dz = v1 + v2
// dx = v1
// dy = v2
cf.transform(kernel, dz, dz+n, dx, dy,
[] __device__ (T z, T x) { return z + x + T(10); }
);
run_and_wait(cf);
// verify the result
for (int i = 0; i < n; i++) {
REQUIRE(std::fabs(hy[i] - (v1 + v2 + v1 + T(10))) < eps);
}
// free memory
REQUIRE(cudaFree(dx) == cudaSuccess);
REQUIRE(cudaFree(dy) == cudaSuccess);
REQUIRE(cudaFree(dz) == cudaSuccess);
});
}
executor.run(taskflow).wait();
}
TEST_CASE("cudaFlow.transform2.int" * doctest::timeout(300)) {
cudaflow_transform2<int, tf::cudaFlow>();
}
TEST_CASE("cudaFlow.transform2.float" * doctest::timeout(300)) {
cudaflow_transform2<float, tf::cudaFlow>();
}
TEST_CASE("cudaFlow.transform2.double" * doctest::timeout(300)) {
cudaflow_transform2<double, tf::cudaFlow>();
}
TEST_CASE("cudaFlowCapturer.transform2.int" * doctest::timeout(300)) {
cudaflow_transform2<int, tf::cudaFlowCapturer>();
}
TEST_CASE("cudaFlowCapturer.transform2.float" * doctest::timeout(300)) {
cudaflow_transform2<float, tf::cudaFlowCapturer>();
}
TEST_CASE("cudaFlowCapturer.transform2.double" * doctest::timeout(300)) {
cudaflow_transform2<double, tf::cudaFlowCapturer>();
}
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