#include "main.h"
#include <unsupported/Eigen/CXX11/Tensor>

Macros
#define	EIGEN_TEST_NO_LONGDOUBLE

#define	EIGEN_TEST_NO_COMPLEX

#define	EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t

#define	EIGEN_USE_SYCL

Functions
template<typename DataType , int DataLayout, typename IndexType >
static void	test_tanh_sycl (const Eigen::SyclDevice &sycl_device)

template<typename DataType , int DataLayout, typename IndexType >
static void	test_sigmoid_sycl (const Eigen::SyclDevice &sycl_device)

template<typename DataType , typename dev_Selector >
void	sycl_computing_test_per_device (dev_Selector s)

	EIGEN_DECLARE_TEST (cxx11_tensor_math_sycl)

Macro Definition Documentation

◆ EIGEN_DEFAULT_DENSE_INDEX_TYPE

#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t

◆ EIGEN_TEST_NO_COMPLEX

#define EIGEN_TEST_NO_COMPLEX

◆ EIGEN_TEST_NO_LONGDOUBLE

#define EIGEN_TEST_NO_LONGDOUBLE

◆ EIGEN_USE_SYCL

#define EIGEN_USE_SYCL

Function Documentation

◆ EIGEN_DECLARE_TEST()

EIGEN_DECLARE_TEST ( cxx11_tensor_math_sycl )

                                            {
   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));
   }
 }

References CALL_SUBTEST.

◆ sycl_computing_test_per_device()

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);
   test_tanh_sycl<DataType, ColMajor, int64_t>(sycl_device);
   test_sigmoid_sycl<DataType, RowMajor, int64_t>(sycl_device);
   test_sigmoid_sycl<DataType, ColMajor, int64_t>(sycl_device);
 }

References s.

◆ test_sigmoid_sycl()

template<typename DataType , int DataLayout, typename IndexType >

static void test_sigmoid_sycl ( const Eigen::SyclDevice & sycl_device )

static

                                                                   {
   IndexType sizeDim1 = 4;
   IndexType sizeDim2 = 4;
   IndexType sizeDim3 = 1;
   array<IndexType, 3> tensorRange = {{sizeDim1, sizeDim2, sizeDim3}};
   Tensor<DataType, 3, DataLayout, IndexType> in(tensorRange);
   Tensor<DataType, 3, DataLayout, IndexType> out(tensorRange);
   Tensor<DataType, 3, DataLayout, IndexType> out_cpu(tensorRange);
  
   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)));
  
   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));
   gpu2.device(sycl_device) = gpu1.sigmoid();
   sycl_device.memcpyDeviceToHost(out.data(), gpu_data2, (out.size()) * sizeof(DataType));
  
   out_cpu = in.sigmoid();
  
   for (int i = 0; i < in.size(); ++i) {
     VERIFY_IS_APPROX(out(i), out_cpu(i));
   }
 }

References Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >::data(), Eigen::TensorBase< Derived, AccessLevel >::device(), i, out(), Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >::size(), and VERIFY_IS_APPROX.

◆ test_tanh_sycl()