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导入Theano时加载编译器库时出错：致命错误C1083

ahstat 发表于 Dev
23
ahstat

我想在Python环境中将Theano与我的GPU一起使用几天。导入theano时，出现以下错误：

d:\anaconda2\include\pyconfig.h(239) : fatal error C1083: Cannot open include file: 'basetsd.h': No such file or directory

我试图在PYTHONPATH，PATH和.theanorc.txt中包括“ D：\ Anaconda2 \ MinGW \ x86_64-w64-mingw32 \ include”（此文件夹包含“ pyconfig.h”），并带有相同的错误消息。

您是否有想法将Anaconda / cuda / nvcc连接到Theano中的编译器？

这是我的配置：

  • 作业系统：Windows 7
  • GPU：GeForce GTX 950
  • cl.exe：D：\ Program Files（x86）\ Microsoft Visual Studio 11.0 \ VC \ bin
  • nvcc.exe：C：\ Program Files \ NVIDIA GPU计算工具包\ CUDA \ v8.0 \ bin
  • Python IDE：Anaconda 2中的Spyder，使用Python 2。
  • Theano 0.8.2

我可以通过CPU“导入theano”，但是我想使用GPU进行计算。

输入“ import theano”（与device = gpu一起）后，在显示错误之前，我可以看到一个控制台窗口正在启动“ nvcc.exe”。

我用Visual Studio 2012测试了CUDA，它正在工作，例如，“ bilateralFilter”可以在Visual Studio中正常工作，而不会出现错误：

Found 1 CUDA Capable device(s) supporting CUDA
Device 0: "GeForce GTX 950"
CUDA Runtime Version: 8.0
CUDA Compute Capability: 5.2
...
Running Standard Demonstration with GLUT loop...

  • 这是我的theanorc.txt文件（有或没有[nvcc]和[cuda]都会发生相同的错误）

    [global]
device = gpu
floatX = float32

[cuda]
root = -LC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0

[nvcc]
flags = -LD:\Anaconda\libs
fastmath = True
compiler-bindir = -LD:\Anaconda2\MinGW\x86_64-w64-mingw32\include

  • 这是我的路径

    D:\Anaconda2\MinGW\x86_64-w64-mingw32\include
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\libnvvp
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin
D:\Anaconda2
D:\Anaconda2\Scripts
D:\Anaconda2\Library\bin
C:\Program Files (x86)\Windows Kits\8.0\Windows Performance Toolkit\
C:\Program Files\Microsoft SQL Server\110\Tools\Binn\

  • 这是我的PYTHONPATH

    D:\Anaconda2\MinGW\x86_64-w64-mingw32\include
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin\amd64
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin

  • 这是在Spyder中键入“ import theano”（theanorc.txt中的device = gpu）后的完整错误消息：

    1 #define _CUDA_NDARRAY_C
2 
3 #include <Python.h>
4 #include <structmember.h>
5 #include "theano_mod_helper.h"
6 
7 #include <numpy/arrayobject.h>
8 #include <iostream>
...
5358 /*
5359   Local Variables:
5360   mode:c++
5361   c-basic-offset:4
5362   c-file-style:"stroustrup"
5363   indent-tabs-mode:nil
5364   fill-column:79
5365   End:
5366 */
5367 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:textwidth=79 :
5368 
===============================
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(849) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(1787) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(2637) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(3492) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(4431) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(5345) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(6252) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(7142) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\math_functions.h(7956) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\device_functions.h : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\device_functions.h(774) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\device_functions.h(1618) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\device_double_functions.h : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\sm_20_intrinsics.h : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
c:\program files\nvidia gpu computing toolkit\cuda\v8.0\include\sm_20_intrinsics.h(943) : warning C4819: The file contains a character that cannot be represented in the current code page (936). Save the file in Unicode format to prevent data loss
d:\anaconda2\include\pyconfig.h(239) : fatal error C1083: Cannot open include file: 'basetsd.h': No such file or directory
ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu: ('nvcc return status', 2, 'for cmd', 'nvcc -shared -O3 -LD:\\Anaconda\\libs -use_fast_math -Xlinker /DEBUG -D HAVE_ROUND -m64 -Xcompiler -DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,/Zi,/MD -ID:\\Anaconda2\\lib\\site-packages\\theano\\sandbox\\cuda -ID:\\Anaconda2\\lib\\site-packages\\numpy\\core\\include -ID:\\Anaconda2\\include -ID:\\Anaconda2\\lib\\site-packages\\theano\\gof -o C:\\Users\\Administrator\\AppData\\Local\\Theano\\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_60_Stepping_3_GenuineIntel-2.7.13-64\\cuda_ndarray\\cuda_ndarray.pyd mod.cu -LD:\\Anaconda2\\libs -LD:\\Anaconda2 -lcublas -lpython27 -lcudart')
WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not available  (error: cuda unavailable)
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
mod.cu

['nvcc', '-shared', '-O3', '-LD:\\Anaconda\\libs', '-use_fast_math', '-Xlinker', '/DEBUG', '-D HAVE_ROUND', '-m64', '-Xcompiler', '-DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,/Zi,/MD', '-ID:\\Anaconda2\\lib\\site-packages\\theano\\sandbox\\cuda', '-ID:\\Anaconda2\\lib\\site-packages\\numpy\\core\\include', '-ID:\\Anaconda2\\include', '-ID:\\Anaconda2\\lib\\site-packages\\theano\\gof', '-o', 'C:\\Users\\Administrator\\AppData\\Local\\Theano\\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_60_Stepping_3_GenuineIntel-2.7.13-64\\cuda_ndarray\\cuda_ndarray.pyd', 'mod.cu', '-LD:\\Anaconda2\\libs', '-LD:\\Anaconda2', '-lcublas', '-lpython27', '-lcudart']
ahstat

我找到了解决问题的方法。

简短答案

  1. 将C：\ Windows \ System32添加到PATH
  2. 启动C：\ Program Files（x86）\ Microsoft Visual Studio 11.0 \ VC \ bin \ amd64 \ vcvars64.bat

结尾。

有关信息，这是我新的当前PATH：

C:\Windows\System32
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin
C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin\amd64
D:\Anaconda2
D:\Anaconda2\Scripts
D:\Anaconda2\Library\bin

这是我的PYTHONPATH：

没有什么

这是我的.theanorc.txt：

[global]
device=gpu
floatx = float32

一些细节

除了PATH之外，还需要配置Windows注册表，如本文所述：Visual Studio中与python26链接的编译错误。通过启动vcvars64.bat完成此操作

我以前做过，但是我忘了出现一条消息： 

ERROR: Cannot determine the location of the VS Common Tools folder.

根据https://social.msdn.microsoft.com/Forums/zh-CN/78703f6b-f610-456c-b770-76a12be3e1ae/error-cannot-determine-the-location-of-the-vs-common-tools- folder？forum = vssetup，解决方案是将C：\ Windows \ System32添加到PATH。

本文收集自互联网，转载请注明来源。

如有侵权，请联系 [email protected] 删除。

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