我试图在我的Python环境中使用Theano和我的GPU几天。 导入theano时，我收到此错误：
d:\anaconda2\include\pyconfig.h(239) : fatal error C1083: Cannot open include file: 'basetsd.h': No such file or directory
我试图包括＆＃34; D：\ Anaconda2 \ MinGW \ x86_64-w64-mingw32 \ include＆＃34; （此文件夹包含＆＃34; pyconfig.h＆＃34;）在PYTHONPATH，PATH和.theanorc.txt中，并带有相同的错误消息。
你有什么想法将anaconda / cuda / nvcc连接到Theano的编译器吗？
这是我的配置：
我可以＆＃34;导入theano＆＃34;使用CPU，但我想使用GPU进行计算。
输入＆＃34;导入theano＆＃34; （使用device = gpu），我可以看到一个控制台窗口启动＆＃34; nvcc.exe＆＃34;在显示错误之前。
我使用Visual Studio 2012测试了CUDA并且它正在工作，例如＆＃34; bilateralFilter＆＃34;在Visual Studio中无错误地运行：
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（无论是否有[nvcc]和[cuda]都会发生同样的错误）
[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
输入＆＃34;导入theano＆＃34;后面是完整的错误消息。在Spyder中（在theanorc.txt中使用device = gpu）：
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']
答案 0 :(得分：0)
我找到了解决问题的方法。
简短回答
结束。
有关信息，这是我当前的新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
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：compilation error in visual studio linked with python26 。它是通过启动vcvars64.bat
完成的之前我做过这个，但我忘了注意到一条消息出现了：
ERROR: Cannot determine the location of the VS Common Tools folder.
根据https://social.msdn.microsoft.com/Forums/en-US/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。