Обнаружено исключение SYCL: Ошибка: [ComputeCpp: RT0101] Не удалось создать ядро ​​((имя ядра: SYCL_class_multiply))

Я клонировал https://github.com/codeplaysoftware/computecpp-sdk.git и изменил computecpp-sdk/samples/accessors/accessors.cpp файл.

Я только добавил std::cout << "SYCL exception caught: " << e.get_cl_code() << '\n';,

Увидеть полностью модифицированный код:

/***************************************************************************
*
*  Copyright (C) 2016 Codeplay Software Limited
*  Licensed under the Apache License, Version 2.0 (the "License");
*  you may not use this file except in compliance with the License.
*  You may obtain a copy of the License at
*
*      http://www.apache.org/licenses/LICENSE-2.0
*
*  For your convenience, a copy of the License has been included in this
*  repository.
*
*  Unless required by applicable law or agreed to in writing, software
*  distributed under the License is distributed on an "AS IS" BASIS,
*  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
*  See the License for the specific language governing permissions and
*  limitations under the License.
*
*  Codeplay's ComputeCpp SDK
*
*  accessor.cpp
*
*  Description:
*    Sample code that illustrates how to make data available on a device
*    using accessors in SYCL.
*
**************************************************************************/

#include <CL/sycl.hpp>

#include <iostream>

using namespace cl::sycl;

int main() {
/* We define the data to be passed to the device. */
int data = 5;

/* The scope we create here defines the lifetime of the buffer object, in SYCL
* the lifetime of the buffer object dictates synchronization using RAII. */
try {
/* We can also create a queue that uses the default selector in
* the queue's default constructor. */
queue myQueue;

/* We define a buffer in order to maintain data across the host and one or
* more devices. We construct this buffer with the address of the data
* defined above and a range specifying a single element. */
buffer<int, 1> buf(&data, range<1>(1));

myQueue.submit([&](handler& cgh) {
/* We define accessors for requiring access to a buffer on the host or on
* a device. Accessors are are like pointers to data we can use in
* kernels to access the data. When constructing the accessor you must
* specify the access target and mode. SYCL also provides the
* get_access() as a buffer member function, which only requires an
* access mode - in this case access::mode::read_write.
* (make_access<>() has a second template argument which defaults
* to access::mode::global) */
auto ptr = buf.get_access<access::mode::read_write>(cgh);

cgh.single_task<class multiply>([=]() {
/* We use the subscript operator of the accessor constructed above to
* read the value, multiply it by itself and then write it back to the
* accessor again. */
ptr[0] = ptr[0] * ptr[0];
});
});

/* queue::wait() will block until kernel execution finishes,
* successfully or otherwise. */
myQueue.wait();

} catch (exception const& e) {
std::cout << "SYCL exception caught: " << e.what() << '\n';
std::cout << "SYCL exception caught: " << e.get_cl_code() << '\n';
return 2;
}

/* We check that the result is correct. */
if (data == 25) {
std::cout << "Hurray! 5 * 5 is " << data << '\n';
return 0;
} else {
std::cout << "Oops! Something went wrong... 5 * 5 is not " << data << "!\n";
return 1;
}
}

После сборки я выполнил бинарный файл и получил следующую ошибку вывода:

$ ./accessors
./accessors: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/lib/libComputeCpp.so)
./accessors: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/lib/libComputeCpp.so)
./accessors: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/lib/libComputeCpp.so)
SYCL exception caught: Error: [ComputeCpp:RT0101] Failed to create kernel ((Kernel Name: SYCL_class_multiply))
SYCL exception caught: -45
SYCL Runtime closed with the following errors:
SYCL objects are still alive while the runtime is shutting down

This probably indicates that a SYCL object was created  but not properly destroyed.
terminate called without an active exception
Aborted (core dumped)

Конфигурация оборудования дается ниже:

$ /usr/local/computecpp/bin/computecpp_info  /usr/local/computecpp/bin/computecpp_info: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/bin/computecpp_info) /usr/local/computecpp/bin/computecpp_info: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/bin/computecpp_info)
********************************************************************************

ComputeCpp Info (CE 0.7.0)

********************************************************************************

Toolchain information:

GLIBC version: 2.19 GLIBCXX: 20150426 This version of libstdc++ is supported.

********************************************************************************Device Info:

Discovered 3 devices matching:   platform    : <any>   device type : <any>

-------------------------------------------------------------------------------- Device 0:

Device is supported                     : NO - Device does not support SPIR   CL_DEVICE_NAME                          : GeForce GTX 750 Ti   CL_DEVICE_VENDOR                        : NVIDIA Corporation  CL_DRIVER_VERSION                       : 384.111   CL_DEVICE_TYPE     : CL_DEVICE_TYPE_GPU
-------------------------------------------------------------------------------- Device 1:

Device is supported                     : UNTESTED - Device not tested on this OS   CL_DEVICE_NAME                          : Intel(R) HD Graphics   CL_DEVICE_VENDOR                        : Intel(R) Corporation   CL_DRIVER_VERSION                       : r5.0.63503   CL_DEVICE_TYPE                          : CL_DEVICE_TYPE_GPU
-------------------------------------------------------------------------------- Device 2:

Device is supported                     : YES - Tested internally by Codeplay Software Ltd.   CL_DEVICE_NAME                          : Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz   CL_DEVICE_VENDOR             : Intel(R) Corporation   CL_DRIVER_VERSION                       :
1.2.0.475   CL_DEVICE_TYPE                          : CL_DEVICE_TYPE_CPU

If you encounter problems when using any of these OpenCL devices, please consult this website for known issues: https://computecpp.codeplay.com/releases/v0.7.0/platform-support-notes

********************************************************************************

Пожалуйста, помогите понять ошибку и решить то же самое. Дайте мне знать, если потребуется дополнительная информация.
Я хотел бы запустить этот пример кода на моем графическом процессоре NVidia.