问题描述
我是SYCL/OpenCL/GPGPU的新手.我正在尝试构建并运行恒定添加程序，
I am newbie in SYCL/OpenCL/GPGPU. I am trying to build and run sample code of constant addition program,
#include <iostream>
#include <array>
#include <algorithm>
#include <CL/sycl.hpp>
namespace sycl = cl::sycl;
//<<Define ConstantAdder>>
template<typename T, typename Acc, size_t N>
class ConstantAdder {
public:
ConstantAdder(Acc accessor, T val)
: accessor(accessor)
, val(val) {}
void operator() () {
for (size_t i = 0; i < N; i++) {
accessor[i] += val;
}
}
private:
Acc accessor;
const T val;
};
int main(int, char**) {
std::array<int, 4> vals = {{ 1, 2, 3, 4 }};
sycl::queue queue(sycl::cpu_selector{});
std::cout << "Running on "
<< queue.get_device().get_info<sycl::info::device::name>()
<< "\n";
{
sycl::buffer<int, 1> buf(vals.data(), sycl::range<1>(4));
queue.submit([&] (sycl::handler& cgh) {
auto acc = buf.get_access<sycl::access::mode::read_write>(cgh);
cgh.single_task(ConstantAdder<int, decltype(acc), 4>(acc, 1));
} );
}
std::for_each(vals.begin(), vals.end(), [] (int i) { std::cout << i << " "; } );
std::cout << std::endl;
return 0;
}
我正在使用
并出现错误
$ ./constantAdder
./constantAdder: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/lib/libComputeCpp.so)
./constantAdder: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/lib/libComputeCpp.so)\
./constantAdder: /usr/local/cuda-8.0/lib64/libOpenCL.so.1: no version information available (required by /usr/local/computecpp/lib/libComputeCpp.so)
Running on Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz
terminate called after throwing an instance of 'cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)9, cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)6, cl::sycl::exception> >'
Aborted (core dumped)
什么是
P.S.系统硬件是
P.S.System hardware is
$ /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
********************************************************************************
PS 我已经更新了代码，以了解要在其上运行代码的设备.
P.S.I have updated the code to know device I am running code on.
修改的片段是
sycl::queue queue(sycl::cpu_selector{});
std::cout << "Running on "
<< queue.get_device().get_info<sycl::info::device::name>()
<< "\n";
现在我要使用cpu::selector(不是nvidia硬件)，并打印设备.它清楚地表明它正在Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz上运行.
Now I am taking cpu::selector (not an nvidia hardware), and printing the device. It clearly shows that it is running on Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz. The output of
显示
Device is supported : YES - Tested internally by Codeplay Software Ltd
但是，它仍然显示与
推荐答案
有一种例外情况，类型cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)9, cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)6, cl::sycl::exception> >被抛出但未被捕获.
There is an exception of type cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)9, cl::sycl::detail::exception_implementation<(cl::sycl::detail::exception_types)6, cl::sycl::exception> > being thrown and not being caught.
要查看异常的详细信息，请在主程序中添加try catch或在调试器中运行代码.例如:
To see the details of the exception either add a try catch in your main or run your code in a debugger. e.g.:
int main(int, char**) {
try
{
/*your code here*/
}
catch (std::exception& ex)
{
std::cerr << "exception caught: " << ex.what() << std::endl;
return 1;
}
return 0;
}
这篇关于抛出'cl :: sycl :: detail :: exception_implementation<(cl :: sycl :: detail :: exception_types)9>的实例后终止调用的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！