cxx11_tensor_random_sycl.cpp File Reference

#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_sycl_random_uniform (const Eigen::SyclDevice &sycl_device)
template<typename DataType , int DataLayout, typename IndexType >
void	test_sycl_random_normal (const Eigen::SyclDevice &sycl_device)
template<typename DataType , typename dev_Selector >
void	sycl_random_test_per_device (dev_Selector s)
	EIGEN_DECLARE_TEST (cxx11_tensor_random_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_random_sycl

)

                                             {
  for (const auto& device : Eigen::get_sycl_supported_devices()) {
    CALL_SUBTEST(sycl_random_test_per_device<half>(device));
    CALL_SUBTEST(sycl_random_test_per_device<float>(device));
#ifdef EIGEN_SYCL_DOUBLE_SUPPORT
    CALL_SUBTEST(sycl_random_test_per_device<double>(device));
#endif
  }
}

References CALL_SUBTEST.

sycl_random_test_per_device()

template<typename DataType , typename dev_Selector >

void sycl_random_test_per_device

(

dev_Selector

s

)

                                                 {
  QueueInterface queueInterface(s);
  auto sycl_device = Eigen::SyclDevice(&queueInterface);
  test_sycl_random_uniform<DataType, RowMajor, int64_t>(sycl_device);
  test_sycl_random_uniform<DataType, ColMajor, int64_t>(sycl_device);
  test_sycl_random_normal<DataType, RowMajor, int64_t>(sycl_device);
  test_sycl_random_normal<DataType, ColMajor, int64_t>(sycl_device);
}

References s.

test_sycl_random_normal()

template<typename DataType , int DataLayout, typename IndexType >

void test_sycl_random_normal

(

const Eigen::SyclDevice &

sycl_device

)

                                                                 {
  Tensor<DataType, 2, DataLayout, IndexType> out(72, 97);
  out.setZero();
  std::size_t out_bytes = out.size() * sizeof(DataType);
 
  IndexType sizeDim0 = 72;
  IndexType sizeDim1 = 97;
 
  array<IndexType, 2> tensorRange = {{sizeDim0, sizeDim1}};
 
  DataType* d_out = static_cast<DataType*>(sycl_device.allocate(out_bytes));
  TensorMap<Tensor<DataType, 2, DataLayout, IndexType>> gpu_out(d_out, tensorRange);
  Eigen::internal::NormalRandomGenerator<DataType> gen(true);
  gpu_out.device(sycl_device) = gpu_out.random(gen);
  sycl_device.memcpyDeviceToHost(out.data(), d_out, out_bytes);
 
  // For now we just check the code doesn't crash.
  // TODO: come up with a valid test of randomness
  sycl_device.deallocate(d_out);
}

References Eigen::TensorBase< Derived, AccessLevel >::device(), and out().

test_sycl_random_uniform()

template<typename DataType , int DataLayout, typename IndexType >

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

static

                                                                         {
  Tensor<DataType, 2, DataLayout, IndexType> out(72, 97);
  out.setZero();
 
  std::size_t out_bytes = out.size() * sizeof(DataType);
 
  IndexType sizeDim0 = 72;
  IndexType sizeDim1 = 97;
 
  array<IndexType, 2> tensorRange = {{sizeDim0, sizeDim1}};
 
  DataType* d_out = static_cast<DataType*>(sycl_device.allocate(out_bytes));
  TensorMap<Tensor<DataType, 2, DataLayout, IndexType>> gpu_out(d_out, tensorRange);
 
  gpu_out.device(sycl_device) = gpu_out.random();
  sycl_device.memcpyDeviceToHost(out.data(), d_out, out_bytes);
 
  // For now we just check the code doesn't crash.
  // TODO: come up with a valid test of randomness
  sycl_device.deallocate(d_out);
}

References Eigen::TensorBase< Derived, AccessLevel >::device(), and out().