blob: f29c4665de3f3dee4c51a9125a0b8692ebdce22f [file]
// clang-format off
// RUN: %clang++ %flags -foffload-via-llvm --offload-arch=native %s -o %t -pthread -std=c++17
// RUN: %t | %fcheck-generic
// RUN: %clang++ %flags -foffload-via-llvm --offload-arch=native %s -o %t -fopenmp -pthread -std=c++17
// RUN: %t | %fcheck-generic
// clang-format on
// UNSUPPORTED: aarch64-unknown-linux-gnu
// UNSUPPORTED: x86_64-unknown-linux-gnu
// UNSUPPORTED: nvptx64-nvidia-cuda-LTO
// UNSUPPORTED: amdgcn-amd-amdhsa-LTO
// UNSUPPORTED: amdgpu-amd-amdhsa-LTO
// UNSUPPORTED: intelgpu
#include <cstdio>
#include <cuda_runtime.h>
#include <mutex>
#include <thread>
static std::mutex PrintMutex;
static void printError(int ThreadId, const char *Label, cudaError_t Error) {
std::lock_guard<std::mutex> Lock(PrintMutex);
printf("thread %d %s: %s\n", ThreadId, Label, cudaGetErrorName(Error));
std::fflush(stdout);
}
__global__ void errorKernel(float *d_out) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
d_out[idx] = idx * 0.5f;
}
void runTask(int ThreadId) {
const int N = 1 << 20;
size_t bytes = N * sizeof(float);
float *d_data;
cudaMalloc(&d_data, bytes);
printError(ThreadId, "cudaMalloc", cudaGetLastError());
ThreadId == 1 ? errorKernel<<<4096, 256>>>(d_data)
: errorKernel<<<4096, 0>>>(d_data);
printError(ThreadId, "kernel launch", cudaPeekAtLastError());
printError(ThreadId, "kernel launch get", cudaGetLastError());
printError(ThreadId, "kernel launch get again", cudaGetLastError());
cudaDeviceSynchronize();
cudaFree(d_data);
}
int main() {
printError(0, "initial", cudaPeekAtLastError());
// CHECK: thread 0 initial: cudaSuccess
std::thread t1(runTask, 1);
std::thread t2(runTask, 2);
t1.join();
t2.join();
// CHECK-DAG: thread 1 cudaMalloc: cudaSuccess
// CHECK-DAG: thread 2 cudaMalloc: cudaSuccess
// CHECK-DAG: thread 1 kernel launch: cudaSuccess
// CHECK-DAG: thread 2 kernel launch: cudaErrorInvalidConfiguration
// CHECK-DAG: thread 1 kernel launch get: cudaSuccess
// CHECK-DAG: thread 2 kernel launch get: cudaErrorInvalidConfiguration
// CHECK-DAG: thread 1 kernel launch get again: cudaSuccess
// CHECK-DAG: thread 2 kernel launch get again: cudaSuccess
std::thread t3(runTask, 3);
t3.join();
// CHECK: thread 3 cudaMalloc: cudaSuccess
// CHECK: thread 3 kernel launch: cudaErrorInvalidConfiguration
// CHECK: thread 3 kernel launch get: cudaErrorInvalidConfiguration
// CHECK: thread 3 kernel launch get again: cudaSuccess
printError(0, "joined", cudaGetLastError());
// CHECK: thread 0 joined: cudaSuccess
return 0;
}