mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
45 lines
1.7 KiB
C++
45 lines
1.7 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// Copyright (C) 2016
|
|
// Mehdi Goli Codeplay Software Ltd.
|
|
// Ralph Potter Codeplay Software Ltd.
|
|
// Luke Iwanski Codeplay Software Ltd.
|
|
// Contact: <eigen@codeplay.com>
|
|
//
|
|
// This Source Code Form is subject to the terms of the Mozilla
|
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
|
|
|
#define EIGEN_TEST_NO_LONGDOUBLE
|
|
#define EIGEN_TEST_NO_COMPLEX
|
|
#define EIGEN_TEST_FUNC cxx11_tensor_device_sycl
|
|
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
|
|
#define EIGEN_USE_SYCL
|
|
|
|
#include "main.h"
|
|
#include <unsupported/Eigen/CXX11/Tensor>
|
|
#include<stdint.h>
|
|
|
|
void test_device_sycl(const Eigen::SyclDevice &sycl_device) {
|
|
std::cout <<"Helo from ComputeCpp: the requested device exists and the device name is : "
|
|
<< sycl_device.m_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.dimensions().TotalSize()*sizeof(int));
|
|
int * gpu_in_data = static_cast<int*>(sycl_device.allocate(in.dimensions().TotalSize()*sizeof(int)));
|
|
sycl_device.memset(gpu_in_data, 1,in.dimensions().TotalSize()*sizeof(int) );
|
|
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.dimensions().TotalSize()*sizeof(int) );
|
|
for (int i=0; i<in.dimensions().TotalSize(); i++)
|
|
VERIFY_IS_APPROX(in(i), in1(i));
|
|
sycl_device.deallocate(gpu_in_data);
|
|
}
|
|
void test_cxx11_tensor_device_sycl() {
|
|
cl::sycl::gpu_selector s;
|
|
Eigen::SyclDevice sycl_device(s);
|
|
CALL_SUBTEST(test_device_sycl(sycl_device));
|
|
}
|