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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/for_each.hpp>
constexpr float eps = 0.0001f;
template <typename T>
void run_and_wait(T& cf) {
tf::cudaStream stream;
cf.run(stream);
stream.synchronize();
}
// ----------------------------------------------------------------------------
// for_each
// ----------------------------------------------------------------------------
template <typename T>
void cuda_for_each() {
tf::Taskflow taskflow;
tf::Executor executor;
for(int n=0; n<=1234567; n = (n<=100) ? n+1 : n*2 + 1) {
taskflow.emplace([n](){
tf::cudaStream stream;
tf::cudaDefaultExecutionPolicy policy(stream);
auto g_data = tf::cuda_malloc_shared<T>(n);
for(int i=0; i<n; i++) {
g_data[i] = 0;
}
tf::cuda_for_each(policy,
g_data, g_data + n, [] __device__ (T& val) { val = 12222; }
);
stream.synchronize();
for(int i=0; i<n; i++) {
REQUIRE(std::fabs(g_data[i] - (T)12222) < eps);
}
tf::cuda_free(g_data);
});
}
executor.run(taskflow).wait();
}
TEST_CASE("cuda_for_each.int" * doctest::timeout(300)) {
cuda_for_each<int>();
}
TEST_CASE("cuda_for_each.float" * doctest::timeout(300)) {
cuda_for_each<float>();
}
TEST_CASE("cuda_for_each.double" * doctest::timeout(300)) {
cuda_for_each<double>();
}
// ----------------------------------------------------------------------------
// for_each
// ----------------------------------------------------------------------------
template <typename T, typename F>
void cudaflow_for_each() {
tf::Taskflow taskflow;
tf::Executor executor;
for(int n=1; n<=1234567; n = (n<=100) ? n+1 : n*2 + 1) {
taskflow.emplace([n](){
auto cpu = static_cast<T*>(std::calloc(n, sizeof(T)));
T* gpu = nullptr;
REQUIRE(cudaMalloc(&gpu, n*sizeof(T)) == cudaSuccess);
F cf;
auto d2h = cf.copy(cpu, gpu, n);
auto h2d = cf.copy(gpu, cpu, n);
auto kernel = cf.for_each(
gpu, gpu+n, [] __device__ (T& val) { val = 65536; }
);
h2d.precede(kernel);
d2h.succeed(kernel);
run_and_wait(cf);
for(int i=0; i<n; i++) {
REQUIRE(std::fabs(cpu[i] - (T)65536) < eps);
}
// update the kernel
cf.for_each(kernel,
gpu, gpu+n, [] __device__ (T& val) { val = 100; }
);
run_and_wait(cf);
for(int i=0; i<n; i++) {
REQUIRE(std::fabs(cpu[i] - (T)100) < eps);
}
std::free(cpu);
REQUIRE(cudaFree(gpu) == cudaSuccess);
});
}
executor.run(taskflow).wait();
}
TEST_CASE("cudaFlow.for_each.int" * doctest::timeout(300)) {
cudaflow_for_each<int, tf::cudaFlow>();
}
TEST_CASE("cudaFlow.for_each.float" * doctest::timeout(300)) {
cudaflow_for_each<float, tf::cudaFlow>();
}
TEST_CASE("cudaFlow.for_each.double" * doctest::timeout(300)) {
cudaflow_for_each<double, tf::cudaFlow>();
}
TEST_CASE("cudaFlowCapturer.for_each.int" * doctest::timeout(300)) {
cudaflow_for_each<int, tf::cudaFlowCapturer>();
}
TEST_CASE("cudaFlowCapturer.for_each.float" * doctest::timeout(300)) {
cudaflow_for_each<float, tf::cudaFlowCapturer>();
}
TEST_CASE("cudaFlowCapturer.for_each.double" * doctest::timeout(300)) {
cudaflow_for_each<double, tf::cudaFlowCapturer>();
}
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