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

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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
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36
unsupported/test/cxx11_tensor_math_sycl.cpp
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@@ -25,12 +25,10 @@ using Eigen::SyclDevice;
using Eigen::Tensor;
using Eigen::TensorMap;
using Eigen::Tensor;
using Eigen::RowMajor;
using Eigen::Tensor;
template <typename DataType, int DataLayout, typename IndexType>
static void test_tanh_sycl(const Eigen::SyclDevice &sycl_device)
{
static void test_tanh_sycl(const Eigen::SyclDevice& sycl_device) {
IndexType sizeDim1 = 4;
IndexType sizeDim2 = 4;
IndexType sizeDim3 = 1;
@@ -41,26 +39,24 @@ static void test_tanh_sycl(const Eigen::SyclDevice &sycl_device)
in = in.random();
DataType* gpu_data1 = static_cast<DataType*>(sycl_device.allocate(in.size()*sizeof(DataType)));
DataType* gpu_data2 = static_cast<DataType*>(sycl_device.allocate(out.size()*sizeof(DataType)));
DataType* gpu_data1 = static_cast<DataType*>(sycl_device.allocate(in.size() * sizeof(DataType)));
DataType* gpu_data2 = static_cast<DataType*>(sycl_device.allocate(out.size() * sizeof(DataType)));
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu1(gpu_data1, tensorRange);
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu2(gpu_data2, tensorRange);
sycl_device.memcpyHostToDevice(gpu_data1, in.data(),(in.size())*sizeof(DataType));
sycl_device.memcpyHostToDevice(gpu_data1, in.data(), (in.size()) * sizeof(DataType));
gpu2.device(sycl_device) = gpu1.tanh();
sycl_device.memcpyDeviceToHost(out.data(), gpu_data2,(out.size())*sizeof(DataType));
sycl_device.memcpyDeviceToHost(out.data(), gpu_data2, (out.size()) * sizeof(DataType));
out_cpu=in.tanh();
out_cpu = in.tanh();
for (int i = 0; i < in.size(); ++i) {
VERIFY_IS_APPROX(out(i), out_cpu(i));
}
}
template <typename DataType, int DataLayout, typename IndexType>
static void test_sigmoid_sycl(const Eigen::SyclDevice &sycl_device)
{
static void test_sigmoid_sycl(const Eigen::SyclDevice& sycl_device) {
IndexType sizeDim1 = 4;
IndexType sizeDim2 = 4;
IndexType sizeDim3 = 1;
@@ -71,25 +67,25 @@ static void test_sigmoid_sycl(const Eigen::SyclDevice &sycl_device)
in = in.random();
DataType* gpu_data1 = static_cast<DataType*>(sycl_device.allocate(in.size()*sizeof(DataType)));
DataType* gpu_data2 = static_cast<DataType*>(sycl_device.allocate(out.size()*sizeof(DataType)));
DataType* gpu_data1 = static_cast<DataType*>(sycl_device.allocate(in.size() * sizeof(DataType)));
DataType* gpu_data2 = static_cast<DataType*>(sycl_device.allocate(out.size() * sizeof(DataType)));
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu1(gpu_data1, tensorRange);
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu2(gpu_data2, tensorRange);
sycl_device.memcpyHostToDevice(gpu_data1, in.data(),(in.size())*sizeof(DataType));
sycl_device.memcpyHostToDevice(gpu_data1, in.data(), (in.size()) * sizeof(DataType));
gpu2.device(sycl_device) = gpu1.sigmoid();
sycl_device.memcpyDeviceToHost(out.data(), gpu_data2,(out.size())*sizeof(DataType));
sycl_device.memcpyDeviceToHost(out.data(), gpu_data2, (out.size()) * sizeof(DataType));
out_cpu=in.sigmoid();
out_cpu = in.sigmoid();
for (int i = 0; i < in.size(); ++i) {
VERIFY_IS_APPROX(out(i), out_cpu(i));
}
}
template<typename DataType, typename dev_Selector> void sycl_computing_test_per_device(dev_Selector s){
template <typename DataType, typename dev_Selector>
void sycl_computing_test_per_device(dev_Selector s) {
QueueInterface queueInterface(s);
auto sycl_device = Eigen::SyclDevice(&queueInterface);
test_tanh_sycl<DataType, RowMajor, int64_t>(sycl_device);
@@ -99,7 +95,7 @@ template<typename DataType, typename dev_Selector> void sycl_computing_test_per_
}
EIGEN_DECLARE_TEST(cxx11_tensor_math_sycl) {
for (const auto& device :Eigen::get_sycl_supported_devices()) {
for (const auto& device : Eigen::get_sycl_supported_devices()) {
CALL_SUBTEST(sycl_computing_test_per_device<half>(device));
CALL_SUBTEST(sycl_computing_test_per_device<float>(device));
}