Clang-format tests, examples, libraries, benchmarks, etc.

This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions

View File

@@ -24,18 +24,18 @@
#include <iostream>
template <typename DataType, int DataLayout, typename IndexType>
void test_device_memory(const Eigen::SyclDevice &sycl_device) {
void test_device_memory(const Eigen::SyclDevice& sycl_device) {
IndexType sizeDim1 = 100;
array<IndexType, 1> tensorRange = {{sizeDim1}};
Tensor<DataType, 1, DataLayout,IndexType> in(tensorRange);
Tensor<DataType, 1, DataLayout,IndexType> in1(tensorRange);
DataType* gpu_in_data = static_cast<DataType*>(sycl_device.allocate(in.size()*sizeof(DataType)));
Tensor<DataType, 1, DataLayout, IndexType> in(tensorRange);
Tensor<DataType, 1, DataLayout, IndexType> in1(tensorRange);
DataType* gpu_in_data = static_cast<DataType*>(sycl_device.allocate(in.size() * sizeof(DataType)));
// memset
memset(in1.data(), 1, in1.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 (IndexType i=0; i<in.size(); i++) {
sycl_device.memset(gpu_in_data, 1, in.size() * sizeof(DataType));
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size() * sizeof(DataType));
for (IndexType i = 0; i < in.size(); i++) {
VERIFY_IS_EQUAL(in(i), in1(i));
}
@@ -43,8 +43,8 @@ void test_device_memory(const Eigen::SyclDevice &sycl_device) {
DataType value = DataType(7);
std::fill_n(in1.data(), in1.size(), value);
sycl_device.fill(gpu_in_data, gpu_in_data + in.size(), value);
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size()*sizeof(DataType));
for (IndexType i=0; i<in.size(); i++) {
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size() * sizeof(DataType));
for (IndexType i = 0; i < in.size(); i++) {
VERIFY_IS_EQUAL(in(i), in1(i));
}
@@ -52,15 +52,15 @@ void test_device_memory(const Eigen::SyclDevice &sycl_device) {
}
template <typename DataType, int DataLayout, typename IndexType>
void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
void test_device_exceptions(const Eigen::SyclDevice& sycl_device) {
VERIFY(sycl_device.ok());
IndexType sizeDim1 = 100;
array<IndexType, 1> tensorDims = {{sizeDim1}};
DataType* gpu_data = static_cast<DataType*>(sycl_device.allocate(sizeDim1*sizeof(DataType)));
sycl_device.memset(gpu_data, 1, sizeDim1*sizeof(DataType));
DataType* gpu_data = static_cast<DataType*>(sycl_device.allocate(sizeDim1 * sizeof(DataType)));
sycl_device.memset(gpu_data, 1, sizeDim1 * sizeof(DataType));
TensorMap<Tensor<DataType, 1, DataLayout,IndexType>> in(gpu_data, tensorDims);
TensorMap<Tensor<DataType, 1, DataLayout,IndexType>> out(gpu_data, tensorDims);
TensorMap<Tensor<DataType, 1, DataLayout, IndexType>> in(gpu_data, tensorDims);
TensorMap<Tensor<DataType, 1, DataLayout, IndexType>> out(gpu_data, tensorDims);
out.device(sycl_device) = in / in.constant(0);
sycl_device.synchronize();
@@ -68,20 +68,21 @@ void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
sycl_device.deallocate(gpu_data);
}
template<typename DataType> void sycl_device_test_per_device(const cl::sycl::device& d){
template <typename DataType>
void sycl_device_test_per_device(const cl::sycl::device& d) {
std::cout << "Running on " << d.template get_info<cl::sycl::info::device::name>() << std::endl;
QueueInterface queueInterface(d);
auto sycl_device = Eigen::SyclDevice(&queueInterface);
test_device_memory<DataType, RowMajor, int64_t>(sycl_device);
test_device_memory<DataType, ColMajor, int64_t>(sycl_device);
/// this test throw an exception. enable it if you want to see the exception
//test_device_exceptions<DataType, RowMajor>(sycl_device);
// test_device_exceptions<DataType, RowMajor>(sycl_device);
/// this test throw an exception. enable it if you want to see the exception
//test_device_exceptions<DataType, ColMajor>(sycl_device);
// test_device_exceptions<DataType, ColMajor>(sycl_device);
}
EIGEN_DECLARE_TEST(cxx11_tensor_device_sycl) {
for (const auto& device :Eigen::get_sycl_supported_devices()) {
for (const auto& device : Eigen::get_sycl_supported_devices()) {
CALL_SUBTEST(sycl_device_test_per_device<half>(device));
CALL_SUBTEST(sycl_device_test_per_device<float>(device));
CALL_SUBTEST(sycl_device_test_per_device<OffByOneScalar<int>>(device));