devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Modifying TensorDeviceSycl.h to always create buffer of type uint8_t and convert them to the actual type at the execution on the device; adding the queue interface class to separate the lifespan of sycl queue and buffers,created for that queue, from Eigen::SyclDevice; modifying sycl tests to support the evaluation of the results for both row major and column major data layout on all different devices that are supported by Sycl{CPU; GPU; and Host}.

Browse Source
This commit is contained in:
Mehdi Goli
2016-11-18 16:20:42 +00:00
parent 5159675c33
commit 622805a0c5
13 changed files with 439 additions and 358 deletions
Download Patch File Download Diff File Expand all files Collapse all files

65
unsupported/test/cxx11_tensor_device_sycl.cpp
View File

@@ -21,42 +21,59 @@
#include <unsupported/Eigen/CXX11/Tensor>
#include<stdint.h>
void test_device_memory(const Eigen::SyclDevice &sycl_device) {
std::cout << "Running on: "
<< sycl_device.m_queue.get_device(). template get_info<cl::sycl::info::device::name>()
<< std::endl;
template <typename DataType, int DataLayout>
void test_device_sycl(const Eigen::SyclDevice &sycl_device) {
std::cout <<"Hello from ComputeCpp: the requested device exists and the device name is : "
<< sycl_device.sycl_queue().get_device(). template get_info<cl::sycl::info::device::name>() <<std::endl;
int sizeDim1 = 100;
array<int, 1> tensorRange = {{sizeDim1}};
Tensor<int, 1> in(tensorRange);
Tensor<int, 1> in1(tensorRange);
memset(in1.data(), 1,in1.size()*sizeof(int));
int* gpu_in_data = static_cast<int*>(sycl_device.allocate(in.size()*sizeof(int)));
sycl_device.memset(gpu_in_data, 1, in.size()*sizeof(int) );
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size()*sizeof(int) );
Tensor<DataType, 1, DataLayout> in(tensorRange);
Tensor<DataType, 1, DataLayout> in1(tensorRange);
memset(in1.data(), 1,in1.size()*sizeof(DataType));
DataType * gpu_in_data = static_cast<DataType*>(sycl_device.allocate(in.size()*sizeof(DataType)));
sycl_device.memset(gpu_in_data, 1,in.size()*sizeof(DataType) );
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size()*sizeof(DataType) );
for (int i=0; i<in.size(); i++) {
VERIFY_IS_APPROX(in(i), in1(i));
}
sycl_device.deallocate(gpu_in_data);
}
template <typename DataType, int DataLayout>
void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
VERIFY(sycl_device.ok());
array<int, 1> tensorDims = {{100}};
int* gpu_data = static_cast<int*>(sycl_device.allocate(100*sizeof(int)));
TensorMap<Tensor<int, 1>> in(gpu_data, tensorDims);
TensorMap<Tensor<int, 1>> out(gpu_data, tensorDims);
out.device(sycl_device) = in / in.constant(0);
VERIFY(!sycl_device.ok());
bool threw_exception = false;
int sizeDim1 = 100;
array<int, 1> tensorDims = {{sizeDim1}};
DataType* gpu_data = static_cast<DataType*>(sycl_device.allocate(sizeDim1*sizeof(DataType)));
TensorMap<Tensor<DataType, 1,DataLayout>> in(gpu_data, tensorDims);
TensorMap<Tensor<DataType, 1,DataLayout>> out(gpu_data, tensorDims);
try {
out.device(sycl_device) = in / in.constant(0);
} catch(...) {
threw_exception = true;
}
VERIFY(threw_exception);
sycl_device.deallocate(gpu_data);
}
template<typename DataType, typename dev_Selector> void sycl_device_test_per_device(dev_Selector s){
QueueInterface queueInterface(s);
auto sycl_device = Eigen::SyclDevice(&queueInterface);
test_device_sycl<DataType, RowMajor>(sycl_device);
test_device_sycl<DataType, ColMajor>(sycl_device);
/// this test throw an exeption. enable it if you want to see the exception
// test_device_exceptions<DataType, RowMajor>(sycl_device);
/// this test throw an exeption. enable it if you want to see the exception
// test_device_exceptions<DataType, ColMajor>(sycl_device);
}
void test_cxx11_tensor_device_sycl() {
cl::sycl::gpu_selector s;
Eigen::SyclDevice sycl_device(s);
CALL_SUBTEST(test_device_memory(sycl_device));
// This deadlocks
//CALL_SUBTEST(test_device_exceptions(sycl_device));
printf("Test on GPU: OpenCL\n");
CALL_SUBTEST(sycl_device_test_per_device<int>((cl::sycl::gpu_selector())));
printf("repeating the test on CPU: OpenCL\n");
CALL_SUBTEST(sycl_device_test_per_device<int>((cl::sycl::cpu_selector())));
printf("repeating the test on CPU: HOST\n");
CALL_SUBTEST(sycl_device_test_per_device<int>((cl::sycl::host_selector())));
printf("Test Passed******************\n" );
}