导入 Theano 时加载编译器库出错：致命错误 C1083

Question

我试图在我的 Python 环境中将 Theano 与我的 GPU 一起使用几天。导入 theano 时，出现此错误：

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

我试图在 PYTHONPATH、PATH 和 .theanorc.txt 中包含 "D:\Anaconda2\MinGW\x86_64-w64-mingw32\include"（此文件夹包含 "pyconfig.h"），但出现相同的错误消息。

您有什么想法可以将 anaconda/cuda/nvcc 连接到 Theano 中的编译器吗？

这是我的配置：

OS: Windows 7
显卡：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 Toolkit\CUDA\v8.0\bin
Python IDE: 来自 Anaconda 2 的 Spyder，在 Python 2.
Theano 0.8.2

我可以 "import theano" 使用 CPU，但我想使用 GPU 进行计算。

输入 "import theano"（使用 device=gpu）后，我可以看到控制台 window 在显示错误之前启动 "nvcc.exe"。

我用 Visual Studio 2012 测试了 CUDA，它工作正常，例如 "bilateralFilter" 在 Visual Studio 中工作没有错误：

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]都会出现同样的错误）

[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.0\Windows Performance Toolkit\
C:\Program Files\Microsoft SQL Server0\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" 后的完整错误消息（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']

Answer 1

我找到了解决问题的方法。

简答

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

结束。

有关信息，这是我当前的新路径：

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：

无

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 post 中所述：compilation error in visual studio linked with python26 .这是通过启动 vcvars64.bat

来完成的

我以前也这样做过，但是我忘了注意到出现了一条消息：

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.

导入 Theano 时加载编译器库出错：致命错误 C1083

Error to load compiler libraries while importing Theano: fatal error C1083

python

theano

nvcc

theano-cuda