bool run_rnorm(){
double *A, *Ad, *B, *Bd;
A = new double[N];
B = new double[N];
double val = 0.0;
for(int i=0;i<N;i++){
A[i] = 1.0;
B[i] = 0.0;
val += 1.0;
}
val = 1/sqrt(val);
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(test_rnorm, dim3(1), dim3(N), 0, 0, Ad, Bd);
hipMemcpy(B, Bd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for(int i=0;i<512;i++){
if(B[0] - val < 0.000001){
passed = 1;
}
}
free(A);
if(passed == 1){
return true;
}
assert(passed == 1);
return false;
}
bool run_erfinv(){
double *A, *Ad, *B, *Bd;
A = new double[N];
B = new double[N];
for(int i=0;i<N;i++){
A[i] = -0.6;
B[i] = 0.0;
}
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(test_erfinv, dim3(1), dim3(N), 0, 0, Ad, Bd);
hipMemcpy(B, Bd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for(int i=0;i<512;i++){
if(B[i] - A[i] < 0.000001){
passed = 1;
}
}
free(A);
if(passed == 1){
return true;
}
assert(passed == 1);
return false;
}
bool run_rnorm3d(){
double *A, *Ad, *B, *Bd, *C, *Cd, *D, *Dd;
A = new double[N];
B = new double[N];
C = new double[N];
D = new double[N];
double val = 0.0;
for(int i=0;i<N;i++){
A[i] = 1.0;
B[i] = 2.0;
C[i] = 3.0;
}
val = 1/sqrt(1.0 + 4.0 + 9.0);
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMalloc((void**)&Cd, SIZE);
hipMalloc((void**)&Dd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Bd, B, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Cd, C, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(test_rnorm3d, dim3(1), dim3(N), 0, 0, Ad, Bd, Cd, Dd);
hipMemcpy(D, Dd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for(int i=0;i<512;i++){
if(D[i] - val < 0.000001){
passed = 1;
}
}
free(A);
if(passed == 1){
return true;
}
assert(passed == 1);
return false;
}
bool run_sincos(){
double *A, *Ad, *B, *C, *Bd, *Cd;
A = new double[N];
B = new double[N];
C = new double[N];
for(int i=0;i<N;i++){
A[i] = 1.0;
}
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMalloc((void**)&Cd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(test_sincos, dim3(1), dim3(N), 0, 0, Ad, Bd, Cd);
hipMemcpy(B, Bd, SIZE, hipMemcpyDeviceToHost);
hipMemcpy(C, Cd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for(int i=0;i<512;i++){
if(B[i] == sin(1.0)){
passed = 1;
}
}
passed = 0;
for(int i=0;i<512;i++){
if(C[i] == cos(1.0)){
passed = 1;
}
}
free(A);
if(passed == 1){
return true;
}
assert(passed == 1);
return false;
}
int test_gl2(size_t N) {
size_t Nbytes = N*sizeof(int);
int *A_d, *B_d, *C_d;
int *A_h, *B_h, *C_h;
HipTest::initArrays (&A_d, &B_d, &C_d, &A_h, &B_h, &C_h, N);
unsigned blocks = HipTest::setNumBlocks(blocksPerCU, threadsPerBlock, N);
// Full vadd in one large chunk, to get things started:
HIPCHECK ( hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
HIPCHECK ( hipMemcpy(B_d, B_h, Nbytes, hipMemcpyHostToDevice));
hipLaunchKernel(vectorADD2, dim3(blocks), dim3(threadsPerBlock), 0, 0, A_d, B_d, C_d, N);
HIPCHECK ( hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
HIPCHECK (hipDeviceSynchronize());
HipTest::checkVectorADD(A_h, B_h, C_h, N);
return 0;
}
int main(){
int A=0, *Ad;
hipMalloc((void**)&Ad, SIZE);
hipMemcpy(Ad, &A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(HIP_KERNEL_NAME(Iter), dim3(1), dim3(1), 0, 0, Ad);
hipMemcpy(&A, Ad, SIZE, hipMemcpyDeviceToHost);
}
bool run_rint() {
double *A, *Ad;
double *B, *Bd;
A = new double[N];
B = new double[N];
for (int i = 0; i < N; i++) {
A[i] = 1.345;
}
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernelGGL(test_rint, dim3(1), dim3(N), 0, 0, Ad, Bd);
hipMemcpy(B, Bd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for (int i = 0; i < 512; i++) {
double x = round(A[i]);
if (B[i] == x) {
passed = 1;
}
}
delete[] A;
delete[] B;
hipFree(Ad);
hipFree(Bd);
if (passed == 1) {
return true;
}
assert(passed == 1);
return false;
}
int main(int argc, char *argv[])
{ int warpSize, pshift;
hipDeviceProp_t devProp;
hipDeviceGetProperties(&devProp, 0);
if(strncmp(devProp.name,"Fiji",1)==0) {warpSize =64; pshift =6;}
else {warpSize =32; pshift =5;}
unsigned int Num_Threads_per_Block = 512;
unsigned int Num_Blocks_per_Grid = 1;
unsigned int Num_Warps_per_Block = Num_Threads_per_Block/warpSize;
unsigned int Num_Warps_per_Grid = (Num_Threads_per_Block*Num_Blocks_per_Grid)/warpSize;
unsigned int* host_ballot = (unsigned int*)malloc(Num_Warps_per_Grid*sizeof(unsigned int));
unsigned int* device_ballot;
HIP_ASSERT(hipMalloc((void**)&device_ballot, Num_Warps_per_Grid*sizeof(unsigned int)));
int divergent_count =0;
for (int i=0; i<Num_Warps_per_Grid; i++) host_ballot[i] = 0;
HIP_ASSERT(hipMemcpy(device_ballot, host_ballot, Num_Warps_per_Grid*sizeof(unsigned int), hipMemcpyHostToDevice));
hipLaunchKernel(gpu_ballot, dim3(Num_Blocks_per_Grid),dim3(Num_Threads_per_Block),0,0, device_ballot,Num_Warps_per_Block,pshift);
HIP_ASSERT(hipMemcpy(host_ballot, device_ballot, Num_Warps_per_Grid*sizeof(unsigned int), hipMemcpyDeviceToHost));
for (int i=0; i<Num_Warps_per_Grid; i++) {
if ((host_ballot[i] == 0)||(host_ballot[i]/warpSize == warpSize)) std::cout << "Warp " << i << " IS convergent- Predicate true for " << host_ballot[i]/warpSize << " threads\n";
else {std::cout << "Warp " << i << " IS divergent - Predicate true for " << host_ballot[i]/warpSize<< " threads\n";
divergent_count++;}
}
if (divergent_count==1) printf("PASSED\n"); else printf("FAILED\n");
return EXIT_SUCCESS;
}
bool run_lround(){
double *A, *Ad;
long int *B, *Bd;
A = new double[N];
B = new long int[N];
for(int i=0;i<N;i++){
A[i] = 1.345;
}
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, N*sizeof(long int));
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(test_lround, dim3(1), dim3(N), 0, 0, Ad, Bd);
hipMemcpy(B, Bd, N*sizeof(long int), hipMemcpyDeviceToHost);
int passed = 0;
for(int i=0;i<512;i++){
long int x = round(A[i]);
if(B[i] == x){
passed = 1;
}
}
free(A);
if(passed == 1){
return true;
}
assert(passed == 1);
return false;
}
bool run_add() {
constexpr size_t N = 64;
std::vector<T> host_input(N);
std::vector<T> host_expected(N);
for (int i = 0; i < N; ++i) {
host_input[i] = (T)i;
host_expected[i] = host_input[i] + host_input[i];
}
T* input1;
hipMalloc(&input1, N * sizeof(T));
hipMemcpy(input1, host_input.data(), host_input.size()*sizeof(T), hipMemcpyHostToDevice);
T* input2;
hipMalloc(&input2, N * sizeof(T));
hipMemcpy(input2, host_input.data(), host_input.size()*sizeof(T), hipMemcpyHostToDevice);
constexpr unsigned int blocks = 1;
constexpr unsigned int threads_per_block = 1;
hipLaunchKernelGGL(add<T>, dim3(blocks), dim3(threads_per_block), 0, 0, input1, input2, N);
hipMemcpy(host_input.data(), input1, host_input.size()*sizeof(T), hipMemcpyDeviceToHost);
bool equal = true;
for (int i = 0; i < N; i++) {
equal &= (host_input[i] == host_expected[i]);
}
return equal;
}
int main(){
float *Ad, *A;
hipHostMalloc((void**)&A, size);
hipMalloc((void**)&Ad, size);
assert(hipSuccess == hipMemcpy(Ad, A, size, hipMemcpyHostToDevice));
assert(hipSuccess == hipMemcpy(A, Ad, size, hipMemcpyDeviceToHost));
passed();
}
int main(int argc, char *argv[])
{ int warpSize, pshift;
hipDeviceProp_t devProp;
hipGetDeviceProperties(&devProp, 0);
if(strncmp(devProp.name,"Fiji",1)==0)
{ warpSize =64;
pshift =6;
}
else {warpSize =32; pshift=5;}
int anycount =0;
int allcount =0;
int Num_Threads_per_Block = 1024;
int Num_Blocks_per_Grid = 1;
int Num_Warps_per_Block = Num_Threads_per_Block/warpSize;
int Num_Warps_per_Grid = (Num_Threads_per_Block*Num_Blocks_per_Grid)/warpSize;
int * host_any = ( int*)malloc(Num_Warps_per_Grid*sizeof(int));
int * host_all = ( int*)malloc(Num_Warps_per_Grid*sizeof(int));
int *device_any;
int *device_all;
HIP_ASSERT(hipMalloc((void**)&device_any,Num_Warps_per_Grid*sizeof( int)));
HIP_ASSERT(hipMalloc((void**)&device_all,Num_Warps_per_Grid*sizeof(int)));
for (int i=0; i<Num_Warps_per_Grid; i++)
{
host_any[i] = 0;
host_all[i] = 0;
}
HIP_ASSERT(hipMemcpy(device_any, host_any,sizeof(int), hipMemcpyHostToDevice));
HIP_ASSERT(hipMemcpy(device_all, host_all,sizeof(int), hipMemcpyHostToDevice));
hipLaunchKernel(warpvote, dim3(Num_Blocks_per_Grid),dim3(Num_Threads_per_Block),0,0, device_any, device_all ,Num_Warps_per_Block,pshift);
HIP_ASSERT(hipMemcpy(host_any, device_any, Num_Warps_per_Grid*sizeof(int), hipMemcpyDeviceToHost));
HIP_ASSERT(hipMemcpy(host_all, device_all, Num_Warps_per_Grid*sizeof(int), hipMemcpyDeviceToHost));
for (int i=0; i<Num_Warps_per_Grid; i++) {
printf("warp no. %d __any = %d \n",i,host_any[i]);
printf("warp no. %d __all = %d \n",i,host_all[i]);
if (host_all[i]!=1) ++allcount;
#if defined (__HIP_PLATFORM_HCC__) && !defined ( NVCC_COMPAT )
if (host_any[i]!=64) ++anycount;
#else
if (host_any[i]!=1) ++anycount;
#endif
}
#if defined (__HIP_PLATFORM_HCC__) && !defined ( NVCC_COMPAT )
if (anycount == 1 && allcount ==1) printf("PASSED\n"); else printf("FAILED\n");
#else
if (anycount == 0 && allcount ==1) printf("PASSED\n"); else printf("FAILED\n");
#endif
return EXIT_SUCCESS;
}
int main(){
int A=0, *Ad;
hipMalloc((void**)&Ad, SIZE);
hipMemcpy(Ad, &A, SIZE, hipMemcpyHostToDevice);
dim3 dimGrid, dimBlock;
dimGrid.x = 1, dimGrid.y =1, dimGrid.z = 1;
dimBlock.x = 1, dimBlock.y = 1, dimGrid.z = 1;
hipLaunchKernel(HIP_KERNEL_NAME(Iter), dimGrid, dimBlock, 0, 0, Ad);
hipMemcpy(&A, Ad, SIZE, hipMemcpyDeviceToHost);
}
bool run_rnorm4d() {
double *A, *Ad, *B, *Bd, *C, *Cd, *D, *Dd, *E, *Ed;
A = new double[N];
B = new double[N];
C = new double[N];
D = new double[N];
E = new double[N];
double val = 0.0;
for (int i = 0; i < N; i++) {
A[i] = 1.0;
B[i] = 2.0;
C[i] = 3.0;
D[i] = 4.0;
}
val = 1 / sqrt(1.0 + 4.0 + 9.0 + 16.0);
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMalloc((void**)&Cd, SIZE);
hipMalloc((void**)&Dd, SIZE);
hipMalloc((void**)&Ed, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Bd, B, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Cd, C, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Dd, D, SIZE, hipMemcpyHostToDevice);
hipLaunchKernelGGL(test_rnorm4d, dim3(1), dim3(N), 0, 0, Ad, Bd, Cd, Dd, Ed);
hipMemcpy(E, Ed, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for (int i = 0; i < 512; i++) {
if (E[i] - val < 0.000001) {
passed = 1;
}
}
delete[] A;
delete[] B;
delete[] C;
delete[] D;
delete[] E;
hipFree(Ad);
hipFree(Bd);
hipFree(Cd);
hipFree(Dd);
hipFree(Ed);
if (passed == 1) {
return true;
}
assert(passed == 1);
return false;
}
void runTest(int argc, char **argv)
{
hipDeviceProp_t deviceProp;
deviceProp.major = 0;
deviceProp.minor = 0;
int dev = 0;
hipDeviceGetProperties(&deviceProp, dev);
// Statistics about the GPU device
printf("> GPU device has %d Multi-Processors, "
"SM %d.%d compute capabilities\n\n",
deviceProp.multiProcessorCount, deviceProp.major, deviceProp.minor);
int version = (deviceProp.major * 0x10 + deviceProp.minor);
unsigned int numThreads = 256;
unsigned int numBlocks = 64;
unsigned int numData = 11;
unsigned int memSize = sizeof(int) * numData;
//allocate mem for the result on host side
int *hOData = (int *) malloc(memSize);
//initialize the memory
for (unsigned int i = 0; i < numData; i++)
hOData[i] = 0;
//To make the AND and XOR tests generate something other than 0...
hOData[8] = hOData[10] = 0xff;
// allocate device memory for result
int *dOData;
hipMalloc((void **) &dOData, memSize);
// copy host memory to device to initialize to zero
hipMemcpy(dOData, hOData, memSize,hipMemcpyHostToDevice);
// execute the kernel
hipLaunchKernel(testKernel, dim3(numBlocks), dim3(numThreads), 0, 0, dOData);
//Copy result from device to host
hipMemcpy(hOData,dOData, memSize,hipMemcpyDeviceToHost);
// Compute reference solution
testResult = computeGold(hOData, numThreads * numBlocks);
// Cleanup memory
free(hOData);
hipFree(dOData);
}
int main() {
size_t Nbytes = N * sizeof(int);
int numDevices = 0;
int *A_d, *B_d, *C_d, *X_d, *Y_d, *Z_d;
int *A_h, *B_h, *C_h;
hipStream_t s;
HIPCHECK(hipGetDeviceCount(&numDevices));
if (numDevices > 1) {
HIPCHECK(hipSetDevice(0));
unsigned blocks = HipTest::setNumBlocks(blocksPerCU, threadsPerBlock, N);
HipTest::initArrays(&A_d, &B_d, &C_d, &A_h, &B_h, &C_h, N, false);
HIPCHECK(hipSetDevice(1));
HIPCHECK(hipMalloc(&X_d, Nbytes));
HIPCHECK(hipMalloc(&Y_d, Nbytes));
HIPCHECK(hipMalloc(&Z_d, Nbytes));
HIPCHECK(hipSetDevice(0));
HIPCHECK(hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
HIPCHECK(hipMemcpy(B_d, B_h, Nbytes, hipMemcpyHostToDevice));
hipLaunchKernelGGL(HipTest::vectorADD, dim3(blocks), dim3(threadsPerBlock), 0, 0,
static_cast<const int*>(A_d), static_cast<const int*>(B_d), C_d, N);
HIPCHECK(hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
HIPCHECK(hipDeviceSynchronize());
HipTest::checkVectorADD(A_h, B_h, C_h, N);
HIPCHECK(hipSetDevice(1));
HIPCHECK(hipStreamCreate(&s));
HIPCHECK(hipMemcpyDtoDAsync((hipDeviceptr_t)X_d, (hipDeviceptr_t)A_d, Nbytes, s));
HIPCHECK(hipMemcpyDtoDAsync((hipDeviceptr_t)Y_d, (hipDeviceptr_t)B_d, Nbytes, s));
hipLaunchKernelGGL(HipTest::vectorADD, dim3(blocks), dim3(threadsPerBlock), 0, 0,
static_cast<const int*>(X_d), static_cast<const int*>(Y_d), Z_d, N);
HIPCHECK(hipMemcpyDtoHAsync(C_h, (hipDeviceptr_t)Z_d, Nbytes, s));
HIPCHECK(hipStreamSynchronize(s));
HIPCHECK(hipDeviceSynchronize());
HipTest::checkVectorADD(A_h, B_h, C_h, N);
HIPCHECK(hipStreamDestroy(s));
HipTest::freeArrays(A_d, B_d, C_d, A_h, B_h, C_h, false);
HIPCHECK(hipFree(X_d));
HIPCHECK(hipFree(Y_d));
HIPCHECK(hipFree(Z_d));
}
passed();
}
int main(int argc, char *argv[])
{
float *A_d, *C_d;
float *A_h, *C_h;
size_t N = 1000000;
size_t Nbytes = N * sizeof(float);
hipDeviceProp_t props;
CHECK(hipDeviceGetProperties(&props, 0/*deviceID*/));
printf ("info: running on device %s\n", props.name);
printf ("info: allocate host mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
A_h = (float*)malloc(Nbytes);
CHECK(A_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
C_h = (float*)malloc(Nbytes);
CHECK(C_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
// Fill with Phi + i
for (size_t i=0; i<N; i++)
{
A_h[i] = 1.618f + i;
}
printf ("info: allocate device mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
CHECK(hipMalloc(&A_d, Nbytes));
CHECK(hipMalloc(&C_d, Nbytes));
printf ("info: copy Host2Device\n");
CHECK ( hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
const unsigned blocks = 512;
const unsigned threadsPerBlock = 256;
printf ("info: launch 'vector_square' kernel\n");
hipLaunchKernel(HIP_KERNEL_NAME(vector_square), dim3(blocks), dim3(threadsPerBlock), 0, 0, C_d, A_d, N);
printf ("info: copy Device2Host\n");
CHECK ( hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
printf ("info: check result\n");
for (size_t i=0; i<N; i++) {
if (C_h[i] != A_h[i] * A_h[i]) {
CHECK(hipErrorUnknown);
}
}
printf ("PASSED!\n");
}
int main(){
setup();
int *A, *Ad;
for(int i=0;i<NUM_SIZE;i++){
A = (int*)malloc(size[i]);
valSet(A, 1, size[i]);
hipMalloc(&Ad, size[i]);
std::cout<<"Malloc success at size: "<<size[i]<<std::endl;
for(int j=0;j<NUM_ITER;j++){
std::cout<<"Iter: "<<j<<std::endl;
hipMemcpy(Ad, A, size[i], hipMemcpyHostToDevice);
hipLaunchKernel(Add, dim3(1), dim3(size[i]/sizeof(int)), 0, 0, Ad);
hipMemcpy(A, Ad, size[i], hipMemcpyDeviceToHost);
}
hipDeviceSynchronize();
}
}
int main(){
float *A, *Ad, *B, *Bd, *C, *Cd;
A = new float[LEN];
B = new float[LEN];
C = new float[LEN];
for(uint32_t i=0;i<LEN;i++){
A[i] = i*1.0f;
B[i] = i*1.0f;
C[i] = i*1.0f;
}
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMalloc((void**)&Cd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Bd, B, SIZE, hipMemcpyHostToDevice);
hipLaunchKernel(getSqAbs, dim3(1), dim3(LEN), 0, 0, Ad, Bd, Cd);
hipMemcpy(C, Cd, SIZE, hipMemcpyDeviceToHost);
std::cout<<A[11]<<" "<<B[11]<<" "<<C[11]<<std::endl;
}
bool run_sincospi() {
double *A, *Ad, *B, *C, *Bd, *Cd;
A = new double[N];
B = new double[N];
C = new double[N];
for (int i = 0; i < N; i++) {
A[i] = 1.0;
}
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMalloc((void**)&Cd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipLaunchKernelGGL(test_sincospi, dim3(1), dim3(N), 0, 0, Ad, Bd, Cd);
hipMemcpy(B, Bd, SIZE, hipMemcpyDeviceToHost);
hipMemcpy(C, Cd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for (int i = 0; i < 512; i++) {
if (B[i] - sin(3.14 * 1.0) < 0.1) {
passed = 1;
}
}
passed = 0;
for (int i = 0; i < 512; i++) {
if (C[i] - cos(3.14 * 1.0) < 0.1) {
passed = 1;
}
}
delete[] A;
delete[] B;
delete[] C;
hipFree(Ad);
hipFree(Bd);
hipFree(Cd);
if (passed == 1) {
return true;
}
assert(passed == 1);
return false;
}
int main(int argc, char *argv[])
{
int Num_Threads_per_Block = 1024;
int Num_Blocks_per_Grid = 1;
int Num_Warps_per_Block = Num_Threads_per_Block/64;
int Num_Warps_per_Grid = (Num_Threads_per_Block*Num_Blocks_per_Grid)/64;
int * host_any = ( int*)malloc(Num_Warps_per_Grid*sizeof(int));
int * host_all = ( int*)malloc(Num_Warps_per_Grid*sizeof(int));
int *device_any;
int *device_all;
HIP_ASSERT(hipMalloc((void**)&device_any,Num_Warps_per_Grid*sizeof( int)));
HIP_ASSERT(hipMalloc((void**)&device_all,Num_Warps_per_Grid*sizeof(int)));
for (int i=0; i<Num_Warps_per_Grid; i++)
{
host_any[i] = 0;
host_all[i] = 0;
}
HIP_ASSERT(hipMemcpy(device_any, host_any,sizeof(int), hipMemcpyHostToDevice));
HIP_ASSERT(hipMemcpy(device_all, host_all,sizeof(int), hipMemcpyHostToDevice));
hipLaunchKernel(warpvote, dim3(Num_Blocks_per_Grid),dim3(Num_Threads_per_Block),0,0, device_any, device_all ,Num_Warps_per_Block);
HIP_ASSERT(hipMemcpy(host_any, device_any, Num_Warps_per_Grid*sizeof(int), hipMemcpyDeviceToHost));
HIP_ASSERT(hipMemcpy(host_all, device_all, Num_Warps_per_Grid*sizeof(int), hipMemcpyDeviceToHost));
for (int i=0; i<Num_Warps_per_Grid; i++) {
printf("warp no. %d __any = %d \n",i,host_any[i]);
printf("warp no. %d __all = %d \n",i,host_all[i]);
}
return EXIT_SUCCESS;
}
bool run_rhypot() {
double *A, *Ad, *B, *Bd, *C, *Cd;
A = new double[N];
B = new double[N];
C = new double[N];
double val = 0.0;
for (int i = 0; i < N; i++) {
A[i] = 1.0;
B[i] = 2.0;
}
val = 1 / sqrt(1.0 + 4.0);
hipMalloc((void**)&Ad, SIZE);
hipMalloc((void**)&Bd, SIZE);
hipMalloc((void**)&Cd, SIZE);
hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
hipMemcpy(Bd, B, SIZE, hipMemcpyHostToDevice);
hipLaunchKernelGGL(test_rhypot, dim3(1), dim3(N), 0, 0, Ad, Bd, Cd);
hipMemcpy(C, Cd, SIZE, hipMemcpyDeviceToHost);
int passed = 0;
for (int i = 0; i < 512; i++) {
if (C[i] - val < 0.000001) {
passed = 1;
}
}
delete[] A;
delete[] B;
delete[] C;
hipFree(Ad);
hipFree(Bd);
hipFree(Cd);
if (passed == 1) {
return true;
}
assert(passed == 1);
return false;
}
int main() {
setup();
int *A, *Ad;
for(int i=0; i<NUM_SIZE; i++) {
A = (int*)malloc(size[i]);
valSet(A, 1, size[i]);
hipMalloc(&Ad, size[i]);
std::cout<<"Malloc success at size: "<<size[i]<<std::endl;
for(int j=0; j<NUM_ITER; j++) {
std::cout<<"\r"<<"Iter: "<<j;
hipMemcpy(Ad, A, size[i], hipMemcpyHostToDevice);
}
std::cout<<std::endl;
hipDeviceSynchronize();
}
}
int main() {
setup();
int *A, *Ad;
for (int i = 0; i < NUM_SIZE; i++) {
std::cout << size[i] << std::endl;
A = (int*)malloc(size[i]);
valSet(A, 1, size[i]);
hipMalloc(&Ad, size[i]);
std::cout << "Malloc success at size: " << size[i] << std::endl;
clock_t start, end;
start = clock();
for (int j = 0; j < NUM_ITER; j++) {
// std::cout<<"At iter: "<<j<<std::endl;
hipMemcpy(Ad, A, size[i], hipMemcpyHostToDevice);
}
hipDeviceSynchronize();
end = clock();
double uS = (double)(end - start) * 1000 / (NUM_ITER * CLOCKS_PER_SEC);
std::cout << uS << std::endl;
}
}
void _d2h(mem_manager *self)
{
hipMemcpy(self->hst_ptr, self->dev_ptr, self->size, hipMemcpyDeviceToHost);
}
void _h2d(mem_manager *self){
hipMemcpy(self->dev_ptr, self->hst_ptr, self->size, hipMemcpyHostToDevice);
}
int main(){
hipError_t err;
float *A, *Ad;
A = new float[LEN];
for(int i=0;i<LEN;i++){
A[i] = 1.0f;
}
hipStream_t stream;
err = hipStreamCreate(&stream);
check("Creating stream",err);
err = hipMalloc(&Ad, SIZE);
check("Allocating Ad memory on device", err);
err = hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice);
check("Doing memory copy from A to Ad", err);
float mS = 0;
hipEvent_t start, stop;
hipEventCreate(&start);
hipEventCreate(&stop);
ResultDatabase resultDB[8];
hipEventRecord(start);
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, 0, Ad);
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[0].AddResult(std::string("First Kernel Launch"), "", "uS", mS*1000);
// std::cout<<"First Kernel Launch: \t\t"<<mS*1000<<" uS"<<std::endl;
resultDB[0].DumpSummary(std::cout);
hipEventRecord(start);
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, 0, Ad);
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[1].AddResult(std::string("Second Kernel Launch"), "", "uS", mS*1000);
// std::cout<<"Second Kernel Launch: \t\t"<<mS*1000<<" uS"<<std::endl;
resultDB[1].DumpSummary(std::cout);
hipEventRecord(start);
for(int i=0;i<ITER;i++){
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, 0, Ad);
}
hipDeviceSynchronize();
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[2].AddResult(std::string("NULL Stream Sync dispatch wait"), "", "uS", mS*1000/ITER);
resultDB[2].DumpSummary(std::cout);
// std::cout<<"NULL Stream Sync dispatch wait: \t"<<mS*1000/ITER<<" uS"<<std::endl;
hipDeviceSynchronize();
hipEventRecord(start);
for(int i=0;i<ITER;i++){
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, 0, Ad);
}
hipEventRecord(stop);
hipDeviceSynchronize();
hipEventElapsedTime(&mS, start, stop);
resultDB[3].AddResult(std::string("NULL Stream Async dispatch wait"), "", "uS", mS*1000/ITER);
resultDB[3].DumpSummary(std::cout);
// std::cout<<"NULL Stream Async dispatch wait: \t"<<mS*1000/ITER<<" uS"<<std::endl;
hipDeviceSynchronize();
hipEventRecord(start);
for(int i=0;i<ITER;i++){
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, stream, Ad);
hipDeviceSynchronize();
}
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[4].AddResult(std::string("Stream Sync dispatch wait"), "", "uS", mS*1000/ITER);
resultDB[4].DumpSummary(std::cout);
// std::cout<<"Stream Sync dispatch wait: \t\t"<<mS*1000/ITER<<" uS"<<std::endl;
hipDeviceSynchronize();
hipEventRecord(start);
for(int i=0;i<ITER;i++){
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, stream, Ad);
}
hipDeviceSynchronize();
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[5].AddResult(std::string("Stream Async dispatch wait"), "", "uS", mS*1000/ITER);
// std::cout<<"Stream Async dispatch wait: \t\t"<<mS*1000/ITER<<" uS"<<std::endl;
resultDB[5].DumpSummary(std::cout);
hipDeviceSynchronize();
hipEventRecord(start);
for(int i=0;i<ITER;i++){
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, 0, Ad);
}
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[6].AddResult(std::string("NULL Stream No Wait"), "", "uS", mS*1000/ITER);
resultDB[6].DumpSummary(std::cout);
// std::cout<<"NULL Stream Dispatch No Wait: \t\t"<<mS*1000/ITER<<" uS"<<std::endl;
hipDeviceSynchronize();
hipEventRecord(start);
for(int i=0;i<ITER;i++){
hipLaunchKernel(HIP_KERNEL_NAME(One), dim3(LEN/512), dim3(512), 0, stream, Ad);
}
hipEventRecord(stop);
hipEventElapsedTime(&mS, start, stop);
resultDB[7].AddResult(std::string("Stream Dispatch No Wait"), "", "uS", mS*1000/ITER);
resultDB[7].DumpSummary(std::cout);
// std::cout<<"Stream Dispatch No Wait: \t\t"<<mS*1000/ITER<<" uS"<<std::endl;
hipDeviceSynchronize();
}
void memManager::D2H()
{
hipMemcpy(hstPtr, devPtr, size, hipMemcpyDeviceToHost);
}
int main(int argc, char **argv) {
uchar4 *h_rgbaImage, *d_rgbaImage;
unsigned char *h_greyImage, *d_greyImage;
std::string input_file;
std::string output_file;
std::string reference_file;
double perPixelError = 0.0;
double globalError = 0.0;
bool useEpsCheck = false;
switch (argc)
{
case 2:
input_file = std::string(argv[1]);
output_file = "HW1_output.png";
reference_file = "HW1_reference.png";
break;
case 3:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = "HW1_reference.png";
break;
case 4:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
break;
case 6:
useEpsCheck=true;
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
perPixelError = atof(argv[4]);
globalError = atof(argv[5]);
break;
default:
std::cerr << "Usage: ./HW1 input_file [output_filename] [reference_filename] [perPixelError] [globalError]" << std::endl;
exit(1);
}
//load the image and give us our input and output pointers
preProcess(&h_rgbaImage, &h_greyImage, &d_rgbaImage, &d_greyImage, input_file);
GpuTimer timer;
timer.Start();
//call the students' code
your_rgba_to_greyscale(h_rgbaImage, d_rgbaImage, d_greyImage, numRows(), numCols());
timer.Stop();
hipDeviceSynchronize(); checkCudaErrors(hipGetLastError());
int err = printf("Your code ran in: %f msecs.\n", timer.Elapsed());
if (err < 0) {
//Couldn't print! Probably the student closed stdout - bad news
std::cerr << "Couldn't print timing information! STDOUT Closed!" << std::endl;
exit(1);
}
size_t numPixels = numRows()*numCols();
checkCudaErrors(hipMemcpy(h_greyImage, d_greyImage, sizeof(unsigned char) * numPixels, hipMemcpyDeviceToHost));
//check results and output the grey image
postProcess(output_file, h_greyImage);
referenceCalculation(h_rgbaImage, h_greyImage, numRows(), numCols());
postProcess(reference_file, h_greyImage);
//generateReferenceImage(input_file, reference_file);
compareImages(reference_file, output_file, useEpsCheck, perPixelError,
globalError);
cleanup();
return 0;
}
// IN: nStreams : number of streams to use for the test
// IN :useNullStream - use NULL stream. Synchronizes everything.
// IN: useSyncMemcpyH2D - use sync memcpy (no overlap) for H2D
// IN: useSyncMemcpyD2H - use sync memcpy (no overlap) for D2H
void test_chunkedAsyncExample(int nStreams, bool useNullStream, bool useSyncMemcpyH2D,
bool useSyncMemcpyD2H) {
size_t Nbytes = N * sizeof(int);
printf("testing: %s(useNullStream=%d, useSyncMemcpyH2D=%d, useSyncMemcpyD2H=%d) ", __func__,
useNullStream, useSyncMemcpyH2D, useSyncMemcpyD2H);
printf("Nbytes=%zu (%6.1f MB)\n", Nbytes, (double)(Nbytes) / 1024.0 / 1024.0);
int *A_d, *B_d, *C_d;
int *A_h, *B_h, *C_h;
HipTest::initArrays(&A_d, &B_d, &C_d, &A_h, &B_h, &C_h, N, true);
unsigned blocks = HipTest::setNumBlocks(blocksPerCU, threadsPerBlock, N);
hipStream_t* stream = (hipStream_t*)malloc(sizeof(hipStream_t) * nStreams);
if (useNullStream) {
nStreams = 1;
stream[0] = NULL;
} else {
for (int i = 0; i < nStreams; ++i) {
HIPCHECK(hipStreamCreate(&stream[i]));
}
}
size_t workLeft = N;
size_t workPerStream = N / nStreams;
for (int i = 0; i < nStreams; ++i) {
size_t work = (workLeft < workPerStream) ? workLeft : workPerStream;
size_t workBytes = work * sizeof(int);
size_t offset = i * workPerStream;
HIPASSERT(A_d + offset < A_d + Nbytes);
HIPASSERT(B_d + offset < B_d + Nbytes);
HIPASSERT(C_d + offset < C_d + Nbytes);
if (useSyncMemcpyH2D) {
HIPCHECK(hipMemcpy(&A_d[offset], &A_h[offset], workBytes, hipMemcpyHostToDevice));
HIPCHECK(hipMemcpy(&B_d[offset], &B_h[offset], workBytes, hipMemcpyHostToDevice));
} else {
HIPCHECK(hipMemcpyAsync(&A_d[offset], &A_h[offset], workBytes, hipMemcpyHostToDevice,
stream[i]));
HIPCHECK(hipMemcpyAsync(&B_d[offset], &B_h[offset], workBytes, hipMemcpyHostToDevice,
stream[i]));
};
hipLaunchKernel(HipTest::vectorADD, dim3(blocks), dim3(threadsPerBlock), 0, stream[i],
&A_d[offset], &B_d[offset], &C_d[offset], work);
if (useSyncMemcpyD2H) {
HIPCHECK(hipMemcpy(&C_h[offset], &C_d[offset], workBytes, hipMemcpyDeviceToHost));
} else {
HIPCHECK(hipMemcpyAsync(&C_h[offset], &C_d[offset], workBytes, hipMemcpyDeviceToHost,
stream[i]));
}
}
HIPCHECK(hipDeviceSynchronize());
HipTest::checkVectorADD(A_h, B_h, C_h, N);
HipTest::freeArrays(A_d, B_d, C_d, A_h, B_h, C_h, true);
free(stream);
};
