NVidia推力device_vector的字符串 [英] NVidia Thrust device_vector of strings

问题描述

我开始使用作为CUDA 4.0工具包一部分的NVidia Thrust库，并希望在深入挖掘之前进行验证。我可以执行以下，并在生成期间没有问题：

I started using the NVidia Thrust library which comes as part of the CUDA 4.0 toolkit and wanted to verify something before digging deeper. I can perform the following and have no issues during build:

thrust::host_vector <int> iVec;
thrust::device_vector <int> iVec2;
thrust::host_vector <std::string> sVec;

当我尝试下面的命令时遇到编译错误：

When I try the following I get a compilation error:

    thrust::device_vector <std::string> sVec2;

我想知道的是我可以假设任何数据类型，我可以使用在STL向量应该可以在推力向量中使用，而不管它是设备还是主机？

What I would like to know is can I assume any data type I can use in an STL vector should be useable in a thrust vector irrespective of whether it's device or host? Or are there limitations here and I shouldn't expect this to work?

我得到的错误如下：

c：\program files\ nvidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\device\cuda\for_each.inl（93）：错误C2027：使用未定义类型'thrust :: detail :: STATIC_ASSERTION_FAILURE'
1>与
1> [
1> x = false
1>]
1> c ：\program files\\\
vidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\device\dispatch\for_each.h（56）：参见函数模板实例化 RandomAccessIterator thrust :: detail :: device :: cuda :: for_each_n（RandomAccessIterator，Size，UnaryFunction）'正在编译
1>与
1> [
1> RandomAccessIterator = thrust :: detail :: normal_iterator>，
1> Size = __ w64 int，
1> UnaryFunction = thrust :: detail :: device_destroy_functor
1>]
1> c：\program files \\\
vidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\device\for_each.inl（43）：参见函数模板实例化的参考RandomAccessIterator thrust :: detail :: device :: dispatch :: for_each_n（RandomAccessIterator，Size，UnaryFunction，thrust :: detail :: cuda_device_space_tag）'正在编译
1>与
1> [
1> RandomAccessIterator = thrust :: detail :: normal_iterator>，
1> OutputIterator = thrust :: detail :: normal_iterator>，
1> Size = __ w64 int，
1> UnaryFunction = thrust :: detail :: device_destroy_functor
1>]
1> c：\program files\\\
vidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\device\for_each.inl（54 ）：参见函数模板实例化'OutputIterator thrust :: detail :: device :: for_each_n（OutputIterator，Size，UnaryFunction）'正在编译
1>与
1> [
1> OutputIterator = thrust :: detail :: normal_iterator>，
1> InputIterator = thrust :: detail :: normal_iterator>，
1> UnaryFunction = thrust :: detail :: device_destroy_functor，
1> Size = __ w64 int
1>]
1> c：\program files\\\
vidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\dispatch\\ \\for_each.h（72）：参见函数模板实例化'InputIterator thrust :: detail :: device :: for_each（InputIterator，InputIterator，UnaryFunction）'正在编译
1> with
1>
1> InputIterator = thrust :: detail :: normal_iterator>，
1> UnaryFunction = thrust :: detail :: device_destroy_functor
1>]
1> c：\program files \ nvidia gpu computing toolkit \cuda\v4.0\include\rustal\detail\for_each.inl（51）：参见函数模板实例化的参考InputIterator thrust :: detail :: dispatch ::正在编译的for_each（InputIterator，InputIterator，UnaryFunction，thrust :: device_space_tag）
1>与
1> [
1> InputIterator = thrust :: detail :: normal_iterator>，
1> UnaryFunction = thrust :: detail :: device_destroy_functor
1>]
1> c：\program files\ nvidia gpu computing toolkit \cuda\v4.0\include\正在编译
1>和
1参见参考的函数模板实例化InputIterator thrust :: detail :: for_each（InputIterator，InputIterator，UnaryFunction） > [
1> InputIterator = thrust :: detail :: normal_iterator>，
1> UnaryFunction = thrust :: detail :: device_destroy_functor
1>]
1> c： \\ program \ nvidia gpu计算工具包\cuda\v4.0\\\\\\\\\\\\\\\\\\\\\\\\\\\\ dustroy.h（59）：参见函数模板实例化的参考'void thrust :: for_each正在编译
1>
1> [
1> ForwardIterator = thrust :: detail :: normal_iterator>，
1> T（= InputIterator，InputIterator，UnaryFunction） value_type，
1> InputIterator = thrust :: detail :: normal_iterator>，
1> UnaryFunction = thrust :: detail :: device_destroy_functor
1>]
1> c： \\program files\\\
vidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\destroy.h（42）：请参考函数模板实例化void thrust :: detail :: dispatch :: destroy（ForwardIterator，ForwardIterator，thrust :: detail :: false_type）'正在编译
1>与
1> [
1> ForwardIterator = thrust :: detail :: normal_iterator>
1>]
1> c：\program files\\\
vidia gpu computing toolkit \cuda\v4.0\include\thrust\detail\vector_base.inl（442）：参见函数模板实例化'void thrust :: detail :: destroy>（ForwardIterator，ForwardIterator）'正在编译
1>与
1> [
1> Pointer = thrust :: device_ptr ，
1> ForwardIterator = thrust :: detail :: normal_iterator>
1>]
1> c：\program files\\\
vidia gpu computing toolkit \cuda\v4.0 \include\thrust\detail\vector_base.inl（440）：当编译类模板成员函数'thrust :: detail :: vector_base ::〜vector_base（void）'
1> with
1> [
1> T = std :: string，
1> Alloc = thrust :: device_malloc_allocator
1>]
1> c：\program files\ nvidia gpu computing toolkit \cuda\v4.0\include\thrust\device_vector.h（55）：参考类模板实例化'thrust :: detail :: vector_base'正在编译
1>
1> [
1> T = std :: string，
1> Alloc = thrust :: device_malloc_allocator
1>]
1> c：\ users\fsquared\mydata\idata\main.cpp（119）：参见类模板实例化'thrust :: device_vector'正在编译
1>与
1> [
1> T = std :: string
1>]
========== Build：0成功，1失败，0最新，0跳过=== =======

c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\device\cuda\for_each.inl(93): error C2027: use of undefined type 'thrust::detail::STATIC_ASSERTION_FAILURE' 1> with 1> [ 1> x=false 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\device\dispatch\for_each.h(56) : see reference to function template instantiation 'RandomAccessIterator thrust::detail::device::cuda::for_each_n(RandomAccessIterator,Size,UnaryFunction)' being compiled 1> with 1> [ 1> RandomAccessIterator=thrust::detail::normal_iterator>, 1> Size=__w64 int, 1> UnaryFunction=thrust::detail::device_destroy_functor 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\device\for_each.inl(43) : see reference to function template instantiation 'RandomAccessIterator thrust::detail::device::dispatch::for_each_n(RandomAccessIterator,Size,UnaryFunction,thrust::detail::cuda_device_space_tag)' being compiled 1> with 1> [ 1> RandomAccessIterator=thrust::detail::normal_iterator>, 1> OutputIterator=thrust::detail::normal_iterator>, 1> Size=__w64 int, 1> UnaryFunction=thrust::detail::device_destroy_functor 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\device\for_each.inl(54) : see reference to function template instantiation 'OutputIterator thrust::detail::device::for_each_n(OutputIterator,Size,UnaryFunction)' being compiled 1> with 1> [ 1> OutputIterator=thrust::detail::normal_iterator>, 1> InputIterator=thrust::detail::normal_iterator>, 1> UnaryFunction=thrust::detail::device_destroy_functor, 1> Size=__w64 int 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\dispatch\for_each.h(72) : see reference to function template instantiation 'InputIterator thrust::detail::device::for_each(InputIterator,InputIterator,UnaryFunction)' being compiled 1> with 1> [ 1> InputIterator=thrust::detail::normal_iterator>, 1> UnaryFunction=thrust::detail::device_destroy_functor 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\for_each.inl(51) : see reference to function template instantiation 'InputIterator thrust::detail::dispatch::for_each(InputIterator,InputIterator,UnaryFunction,thrust::device_space_tag)' being compiled 1> with 1> [ 1> InputIterator=thrust::detail::normal_iterator>, 1> UnaryFunction=thrust::detail::device_destroy_functor 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\for_each.inl(67) : see reference to function template instantiation 'InputIterator thrust::detail::for_each(InputIterator,InputIterator,UnaryFunction)' being compiled 1> with 1> [ 1> InputIterator=thrust::detail::normal_iterator>, 1> UnaryFunction=thrust::detail::device_destroy_functor 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\dispatch\destroy.h(59) : see reference to function template instantiation 'void thrust::for_each>(InputIterator,InputIterator,UnaryFunction)' being compiled 1> with 1> [ 1> ForwardIterator=thrust::detail::normal_iterator>, 1> T=value_type, 1> InputIterator=thrust::detail::normal_iterator>, 1> UnaryFunction=thrust::detail::device_destroy_functor 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\destroy.h(42) : see reference to function template instantiation 'void thrust::detail::dispatch::destroy(ForwardIterator,ForwardIterator,thrust::detail::false_type)' being compiled 1> with 1> [ 1> ForwardIterator=thrust::detail::normal_iterator> 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\vector_base.inl(442) : see reference to function template instantiation 'void thrust::detail::destroy>(ForwardIterator,ForwardIterator)' being compiled 1> with 1> [ 1> Pointer=thrust::device_ptr, 1> ForwardIterator=thrust::detail::normal_iterator> 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\detail\vector_base.inl(440) : while compiling class template member function 'thrust::detail::vector_base::~vector_base(void)' 1> with 1> [ 1> T=std::string, 1> Alloc=thrust::device_malloc_allocator 1> ] 1> c:\program files\nvidia gpu computing toolkit\cuda\v4.0\include\thrust\device_vector.h(55) : see reference to class template instantiation 'thrust::detail::vector_base' being compiled 1> with 1> [ 1> T=std::string, 1> Alloc=thrust::device_malloc_allocator 1> ] 1> c:\users\fsquared\mydata\idata\main.cpp(119) : see reference to class template instantiation 'thrust::device_vector' being compiled 1> with 1> [ 1> T=std::string 1> ] ========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========

我在这里使用MSCV 2010。

I am using MSCV 2010 here.

推荐答案

CUDA不支持设备代码中的标准C ++容器类型，它仅限于C ++基本类型。你可以定义自己的类在GPU上使用，但是构造函数和成员函数必须定义为CUDA __ device __ 函数，并且对于什么语言还有一些限制功能在设备代码中支持。

CUDA does not support standard C++ container types in device code, it is limited to C++ fundamental types only. You can define your own classes for use on the GPU, but the constructor and member functions must be defined as CUDA __device__ functions, and there are still a number of limitations on what language features are support in device code.

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