我克隆了https://github.com/codeplaysoftware/computecpp-sdk.git并修改了 computecpp-sdk/samples/accessors/accessors.cpp文件。
我刚加了std::cout << "SYCL exception caught: " << e.get_cl_code() << '\n';。
查看完全修改的代码：
/***************************************************************************
*
* 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;
}
}
构建后，我执行了二进制文件并得到以下错误输出：
$ ./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)
硬件配置如下：
$ /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
********************************************************************************
请帮助理解错误并解决相同的问题。让我知道是否需要更多信息。我想在我的 NVidia GPU 上运行这个示例代码。