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// This program demonstrates how to performs a parallel transform
// using cudaFlow.
#include <taskflow/cuda/cudaflow.hpp>
#include <taskflow/cuda/algorithm/transform.hpp>
int main(int argc, char* argv[]) {
if(argc != 2) {
std::cerr << "usage: ./cuda_transform num_items\n";
std::exit(EXIT_FAILURE);
}
size_t N = std::atoi(argv[1]);
auto input = tf::cuda_malloc_shared<int>(N);
auto output = tf::cuda_malloc_shared<int>(N);
// initialize the data
for(size_t i=0; i<N; i++) {
input [i] = -1;
output[i] = 1;
}
// perform parallel transform
tf::cudaFlow cudaflow;
tf::cudaStream stream;
// output[i] = input[i] + 11
cudaflow.transform(
input, input + N, output, [] __device__ (int a) { return a + 11; }
);
cudaflow.run(stream);
stream.synchronize();
// inspect the result
for(size_t i=0; i<N; i++) {
if(output[i] != 10) {
throw std::runtime_error("incorrect result");
}
}
std::cout << "correct result\n";
return 0;
}
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