bool GpuAccView1ToGpuAccView2()
{
accelerator_view cpu_av1 = cpu_acc.get_default_view();
accelerator_view stg_arr_av1 = gpu_acc.get_default_view();
accelerator_view cpu_av2 = cpu_acc.get_default_view();
accelerator_view stg_arr_av2 = gpu_acc.create_view();
return CopyAndVerifyFromStagingArrayToStagingArray<DATA_TYPE, RANK>(cpu_av1, stg_arr_av1, cpu_av2, stg_arr_av2);
}
StagingArrayToStagingArrayTests()
{
cpu_acc = accelerator(accelerator::cpu_accelerator);
gpu_acc = require_device_for<DATA_TYPE>();
if(gpu_acc.get_supports_cpu_shared_memory())
{
WLog() << "Accelerator " << gpu_acc.get_description() << " supports zero copy" << std::endl;
// Set the default cpu access type for this accelerator
gpu_acc.set_default_cpu_access_type(DEF_ACCESS_TYPE);
}
}
runall_result test10(accelerator& device)
{
array<int, 1> arr1(64, device.get_default_view(), ACCESS_TYPE);
array<int, 2> arr2(64, 64, device.get_default_view(), ACCESS_TYPE);
array<int, 3> arr3(64, 64, 64, device.get_default_view(), ACCESS_TYPE);
runall_result res;
res &= REPORT_RESULT(VerifyCpuAccessType(arr1, ACCESS_TYPE));
res &= REPORT_RESULT(VerifyCpuAccessType(arr2, ACCESS_TYPE));
res &= REPORT_RESULT(VerifyCpuAccessType(arr3, ACCESS_TYPE));
return res;
}
runall_result Gpu1AccViewToGpu2AccView()
{
accelerator_view gpu_av1 = gpu_acc1.get_default_view();
accelerator_view gpu_av2 = gpu_acc2.get_default_view();
runall_result res;
for(auto a_t_tuple : access_types_vec)
{
print_access_type_tuple(a_t_tuple);
res &= CopyAndVerifyFromArrayToNonContiguousArrayView<DATA_TYPE, RANK>(gpu_av1, gpu_av2, std::get<0>(a_t_tuple), std::get<1>(a_t_tuple), std::get<0>(a_t_tuple));
}
return res;
}
runall_result CpuAccViewToGpuAccView()
{
accelerator_view cpu_av = cpu_acc.get_default_view();
accelerator_view gpu_av = gpu_acc.get_default_view();
runall_result res;
for(auto a_t_tuple : access_types_vec)
{
print_access_type_tuple(a_t_tuple);
res &= CopyAndVerifyFromNonContigArrayViewConstToArray<DATA_TYPE, RANK>(cpu_av, gpu_av, std::get<0>(a_t_tuple), std::get<1>(a_t_tuple));
}
return res;
}
runall_result test9(accelerator& device)
{
extent<2> arr_extent = CreateRandomExtent<2>(64);
array<float, 2> arr(arr_extent, device.get_default_view(), ACCESS_TYPE);
return REPORT_RESULT(VerifyCpuAccessType(arr, ACCESS_TYPE));
}
runall_result Gpu1AccViewToGpu2AccView()
{
accelerator_view cpu_av = cpu_acc.get_default_view();
accelerator_view arr_av = gpu_acc1.get_default_view();
accelerator_view stg_arr_av = gpu_acc2.get_default_view();
runall_result res;
for(auto a_t_tuple : access_types_vec)
{
print_access_type_tuple(a_t_tuple);
res &= CopyAndVerifyFromStagingArrayToArray<DATA_TYPE, RANK>(cpu_av, arr_av, stg_arr_av, std::get<0>(a_t_tuple));
}
return res;
}
runall_result test12(accelerator& device)
{
extent<2> arr_extent = CreateRandomExtent<2>(64);
std::vector<int> cont(arr_extent.size(), 10);
array<int, 2> arr(arr_extent, cont.begin(), cont.end(), device.get_default_view(), ACCESS_TYPE);
return REPORT_RESULT(VerifyCpuAccessType(arr, ACCESS_TYPE));
}
runall_result test14(accelerator& device)
{
std::vector<int> cont1(64, 10);
array<int, 1> arr1(64, cont1.begin(), cont1.end(), device.get_default_view(), ACCESS_TYPE);
std::vector<int> cont2(64 * 64, 10);
array<int, 2> arr2(64, 64, cont2.begin(), cont2.end(), device.get_default_view(), ACCESS_TYPE);
std::vector<int> cont3(64 * 64 * 64, 10);
array<int, 3> arr3(64, 64, 64, cont3.begin(), cont3.end(), device.get_default_view(), ACCESS_TYPE);
runall_result res;
res &= REPORT_RESULT(VerifyCpuAccessType(arr1, ACCESS_TYPE));
res &= REPORT_RESULT(VerifyCpuAccessType(arr2, ACCESS_TYPE));
res &= REPORT_RESULT(VerifyCpuAccessType(arr3, ACCESS_TYPE));
return res;
}
runall_result test8(accelerator& device)
{
extent<2> arr_extent = CreateRandomExtent<2>(64);
array_view<int , 2> arr_v(arr_extent);
array_view<const int, 2> arr_v_c(arr_v);
array<int, 2> arr(arr_v_c, device.get_default_view(), ACCESS_TYPE);
return REPORT_RESULT(VerifyCpuAccessType(arr, ACCESS_TYPE));
}
StagingArrayToArrayTests()
{
cpu_acc = accelerator(accelerator::cpu_accelerator);
gpu_acc1 = require_device_for<DATA_TYPE>();
gpu_acc2 = require_device_for<DATA_TYPE>(gpu_acc1);
if(gpu_acc1.get_supports_cpu_shared_memory())
{
WLog() << "Accelerator " << gpu_acc1.get_description() << " supports zero copy" << std::endl;
// Set the default cpu access type for this accelerator
gpu_acc1.set_default_cpu_access_type(DEF_ACCESS_TYPE1);
access_types_vec.push_back(std::make_tuple(access_type_none));
access_types_vec.push_back(std::make_tuple(access_type_read));
access_types_vec.push_back(std::make_tuple(access_type_write));
access_types_vec.push_back(std::make_tuple(access_type_read_write));
}
else
{
access_types_vec.push_back(std::make_tuple(access_type_auto));
}
if(gpu_acc2.get_supports_cpu_shared_memory())
{
WLog() << "Accelerator " << gpu_acc2.get_description() << " supports zero copy" << std::endl;
// Set the default cpu access type for this accelerator
gpu_acc2.set_default_cpu_access_type(DEF_ACCESS_TYPE2);
}
}
runall_result GpuAccView1ToGpuAccView2()
{
accelerator_view gpu_av1 = gpu_acc.create_view();
accelerator_view gpu_av2 = gpu_acc.create_view();
runall_result res;
for(auto a_t_tuple : access_types_vec)
{
print_access_type_tuple(a_t_tuple);
res &= CopyAndVerifyFromNonContigArrayViewConstToArray<DATA_TYPE, RANK>(gpu_av1, gpu_av2, std::get<0>(a_t_tuple), std::get<1>(a_t_tuple));
}
return res;
}
/**
********************************************************************************
* @fn setDefaultAccelerator
* @brief Set a default accelerator
*******************************************************************************/
int setDefaultAccelerator()
{
std::vector<accelerator> allAccl = accelerator::get_all();
/**************************************************************************
* if deviceID is not set, the default accelerator is AMD Readon *
**************************************************************************/
if(!enableDeviceId)
{
for (unsigned i = 0; i < allAccl.size(); ++i)
{
if (allAccl[i].get_description().find(L"AMD Radeon") != std::wstring::npos ||
allAccl[i].get_description().find(L"ATI Radeon") != std::wstring::npos )
{
deviceAccl = allAccl[i];
break;
}
}
}
else
{
deviceAccl = allAccl[deviceId];
}
accelerator::set_default(deviceAccl.device_path);
std::wcout << L"Selected accelerator : " << deviceAccl.get_description()
<< std::endl;
if (deviceAccl == accelerator(accelerator::direct3d_ref))
{
std::cout << "WARNING!! Running on very slow emulator!" << std::endl;
}
if(deviceAccl == accelerator(accelerator::cpu_accelerator))
{
std::cout << "There is no need to run on single CPU !"<<std::endl;
return SDK_FAILURE;
}
return SDK_SUCCESS;
}
bool test_accelerator_view(const accelerator_view& av, const accelerator& acc)
{
return av.get_accelerator() == acc
&& av.get_is_debug() == acc.get_is_debug()
&& av.get_version() == acc.get_version();
}
