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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/03/23 01:29:56 UTC
[GitHub] [incubator-mxnet] alinagithub opened a new issue #17887: Import
mxnet for mxnet-cu92 fails
alinagithub opened a new issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887
## Description
CUDA 92 installed, and mxnet-cu92 using pip, however import mxnet fails
In installing mxnet or mxnet-mkl, import works.
I am using Python 3.8
### Error Message
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import mxnet
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\.env38\lib\site-packages\mxnet\__init__.py", line 24, in <module>
from .context import Context, current_context, cpu, gpu, cpu_pinned
File "C:\.env38\lib\site-packages\mxnet\context.py", line 24, in <module>
from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
File "C:\.env38\lib\site-packages\mxnet\base.py", line 213, in <module>
_LIB = _load_lib()
File "C:\.env38\lib\site-packages\mxnet\base.py", line 204, in _load_lib
lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
File "C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py", line 373, in __init__
self._handle = _dlopen(self._name, mode)
FileNotFoundError: Could not find module 'C:\.env38\lib\site-packages\mxnet\libmxnet.dll' (or one of its dependencies). Try using the full path with constructor syntax.
## To Reproduce
1. Windows 10.
2. Installed Python 3.8
3. Installed mkl 2020
4. Installed Cuda92
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:08:12_Central_Daylight_Time_2018
Cuda compilation tools, release 9.2, V9.2.148
5. Installed mxnet: pip install mxnet-cu92
## What have you tried to solve it?
1. Other combinations: CUDA 101 with mxnet-cu101, CUDA 92 with mxnet-cu92mkl...
2. Explicit PATH to the CUDA /bin directory
## Environment
----------Python Info----------
Version : 3.8.2
Compiler : MSC v.1916 64 bit (AMD64)
Build : ('tags/v3.8.2:7b3ab59', 'Feb 25 2020 23:03:10')
Arch : ('64bit', 'WindowsPE')
------------Pip Info-----------
Version : 20.0.2
Directory : C:\.env38\lib\site-packages\pip
----------MXNet Info-----------
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Windows-10-10.0.18362-SP0
system : Windows
node : MSI
release : 10
version : 10.0.18362
----------Hardware Info----------
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
Name
Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0230 sec, LOAD: 0.7210 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0000 sec, LOAD: 0.5110 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0602 sec, LOAD: 0.4753 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0200 sec, LOAD: 0.1508 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0229 sec, LOAD: 0.2308 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0668 sec, LOAD: 0.4193 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0212 sec, LOAD: 0.4935 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0192 sec, LOAD: 0.1854 sec.
Thanks a lot for you help.
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[GitHub] [incubator-mxnet] alinagithub edited a comment on issue #17887:
Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub edited a comment on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602603442
Turning around an issue with PATH in Windows.
Something really bugs me.
The path to the CUDA DLLs is there, but the DLL does not load.
If I copy exact the path, present in Python environment path, the dll loads...
(.env38) C:\.env38\Scripts>python
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> os.environ
environ({'ALLUSERSPROFILE': 'C:\\ProgramData', 'APPDATA': 'C:\\Users\\arnau\\AppData\\Roaming', 'CAMLIBS': 'C:\\Program Files\\darktable\\lib\\libgphoto2\\2.5.23', [...] 'PATH': 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin;C:\\.env38\\Scripts;[...]})
>>> from ctypes import*
>>> mydll = cdll.LoadLibrary("cudnn64_7.dll")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py", line 451, in LoadLibrary
return self._dlltype(name)
File "C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py", line 373, in __init__
self._handle = _dlopen(self._name, mode)
FileNotFoundError: Could not find module 'cudnn64_7.dll' (or one of its dependencies). Try using the full path with constructor syntax.
>>> mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cudnn64_7.dll")
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[GitHub] [incubator-mxnet] yajiedesign commented on issue #17887: Import
mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
yajiedesign commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602326544
Virtual Env Should not cause problems.You can print environment variables in a Virtual Env.
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[GitHub] [incubator-mxnet] alinagithub removed a comment on issue #17887:
Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub removed a comment on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602318694
Note that I also checked the libmxnet.dll using Depends, but nothing special is reported.
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[GitHub] [incubator-mxnet] yajiedesign commented on issue #17887: Import
mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
yajiedesign commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602319754
I'm not sure about the version you installed.
If the latest version is installed.
Use depend to check that mxnet__x.dll.xx is your gpu compute capability.
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[GitHub] [incubator-mxnet] alinagithub commented on issue #17887: Import
mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602324709
I have a GTX 1070. Actually it used to work. I did re-install and I am stuck...
However, when I do Depends, there are in fact warning.
Strange, if I load explicitly the CUDA DLLs, I can import mxnet:
from ctypes import*
mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cudnn64_7.dll")
mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cublas64_92.dll")
mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cufft64_92.dll")
mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cusolver64_92.dll")
mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\curand64_92.dll")
mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\nvrtc64_92.dll")
mydll = cdll.LoadLibrary("C:\.env38\lib\site-packages\mxnet\libmxnet.dll")
CUDA being in my environment path variable, I don't get why the DLLs are not found.
Could it be because I use a Virtual Env? Does not make sense, right?
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[GitHub] [incubator-mxnet] alinagithub commented on issue #17887: Import
mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602318694
Note that I also checked the libmxnet.dll using Depends, but nothing special is reported.
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[GitHub] [incubator-mxnet] alinagithub commented on issue #17887: Import
mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602603442
Turning around an issue with PATH in Windows.
Something really bugs me.
The path to the CUDA DLLs is there, but the DLL does not load.
If I copy exact the path, present in Python environment path, the dll loads...
(.env38) C:\.env38\Scripts>python
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> os.environ
environ({'ALLUSERSPROFILE': 'C:\\ProgramData', 'APPDATA': 'C:\\Users\\arnau\\AppData\\Roaming', 'CAMLIBS': 'C:\\Program Files\\darktable\\lib\\libgphoto2\\2.5.23', 'COMMONPROGRAMFILES': 'C:\\Program Files\\Common Files', 'COMMONPROGRAMFILES(X86)': 'C:\\Program Files (x86)\\Common Files', 'COMMONPROGRAMW6432': 'C:\\Program Files\\Common Files', 'COMPUTERNAME': 'MSI', 'COMSPEC': 'C:\\WINDOWS\\system32\\cmd.exe', 'CONFIGSETROOT': 'C:\\WINDOWS\\ConfigSetRoot', 'CUDA_PATH': 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin', 'CUDA_PATH_V9_2': 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2', 'DRIVERDATA': 'C:\\Windows\\System32\\Drivers\\DriverData', 'HOMEDRIVE': 'C:', 'HOMEPATH': '\\Users\\arnau', 'INTEL_LICENSE_FILE': 'C:\\Program Files (x86)\\Common Files\\Intel\\Licenses', 'IOLIBS': 'C:\\Program Files\\darktable\\lib\\libgphoto2_port\\0.12.0', 'LOCALAPPDATA': 'C:\\Users\\arnau\\AppData\\Local', 'LOGONSERVER': '\\\\MSI', 'MAGICK_HOME': 'C:\\Program Files\\darktable\\lib\\GraphicsMagick-1.3.33\\modules-Q8\\coders', 'MXNET_CUDNN_AUTOTUNE_DEFAULT': '0', 'NUMBER_OF_PROCESSORS': '12', 'NVCUDASAMPLES9_2_ROOT': 'C:\\ProgramData\\NVIDIA Corporation\\CUDA Samples\\v9.2', 'NVTOOLSEXT_PATH': 'C:\\Program Files\\NVIDIA Corporation\\NvToolsExt\\', 'ONEDRIVE': 'C:\\Users\\arnau\\OneDrive', 'ONEDRIVECONSUMER': 'C:\\Users\\arnau\\OneDrive', 'OS': 'Windows_NT', 'PATH': 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin;C:\\.env38\\Scripts;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin;C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath;C:\\Program Files (x86)\\Razer\\ChromaBroadcast\\bin;C:\\Program Files\\Razer\\ChromaBroadcast\\bin;C:\\Program Files (x86)\\Razer Chroma SDK\\bin;C:\\Program Files\\Razer Chroma SDK\\bin;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\iCLS\\;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\iCLS\\;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files (x86)\\Graphviz2.38\\bin;C:\\Program Files\\Git\\cmd;C:\\Program Files\\NVIDIA Corporation\\NVSMI;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files\\Intel\\WiFi\\bin\\;C:\\Program Files\\Common Files\\Intel\\WirelessCommon\\;C:\\WINDOWS\\system32\\config\\systemprofile\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\arnau\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\PuTTY\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files\\TortoiseGit\\bin;C:\\Program Files\\CMake\\bin;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2019.4.0\\;C:\\Users\\arnau\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\Intel\\WiFi\\bin\\;C:\\Program Files\\Common Files\\Intel\\WirelessCommon\\;', 'PATHEXT': '.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC', 'PROCESSOR_ARCHITECTURE': 'AMD64', 'PROCESSOR_IDENTIFIER': 'Intel64 Family 6 Model 158 Stepping 10, GenuineIntel', 'PROCESSOR_LEVEL': '6', 'PROCESSOR_REVISION': '9e0a', 'PROGRAMDATA': 'C:\\ProgramData', 'PROGRAMFILES': 'C:\\Program Files', 'PROGRAMFILES(X86)': 'C:\\Program Files (x86)', 'PROGRAMW6432': 'C:\\Program Files', 'PROMPT': '(.env38) $P$G', 'PSMODULEPATH': 'C:\\Program Files\\WindowsPowerShell\\Modules;C:\\WINDOWS\\system32\\WindowsPowerShell\\v1.0\\Modules', 'PUBLIC': 'C:\\Users\\Public', 'SESSIONNAME': 'Console', 'SYSTEMDRIVE': 'C:', 'SYSTEMROOT': 'C:\\WINDOWS', 'TEMP': 'C:\\Users\\arnau\\AppData\\Local\\Temp', 'TMP': 'C:\\Users\\arnau\\AppData\\Local\\Temp', 'TOTO': 'C:\\', 'USERDOMAIN': 'MSI', 'USERDOMAIN_ROAMINGPROFILE': 'MSI', 'USERNAME': 'arnau', 'USERPROFILE': 'C:\\Users\\arnau', 'VIRTUAL_ENV': 'C:\\.env38', 'VS2017INSTALLDIR': 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2017\\Community', 'WINDIR': 'C:\\WINDOWS', '_OLD_VIRTUAL_PATH': 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin;C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath;C:\\Program Files (x86)\\Razer\\ChromaBroadcast\\bin;C:\\Program Files\\Razer\\ChromaBroadcast\\bin;C:\\Program Files (x86)\\Razer Chroma SDK\\bin;C:\\Program Files\\Razer Chroma SDK\\bin;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\iCLS\\;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\iCLS\\;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files (x86)\\Graphviz2.38\\bin;C:\\Program Files\\Git\\cmd;C:\\Program Files\\NVIDIA Corporation\\NVSMI;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files\\Intel\\WiFi\\bin\\;C:\\Program Files\\Common Files\\Intel\\WirelessCommon\\;C:\\WINDOWS\\system32\\config\\systemprofile\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\arnau\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\PuTTY\\;C:\\Program Files\\NVIDIA Corporation\\NVIDIA NvDLISR;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files\\TortoiseGit\\bin;C:\\Program Files\\CMake\\bin;C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2019.4.0\\;C:\\Users\\arnau\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\Intel\\WiFi\\bin\\;C:\\Program Files\\Common Files\\Intel\\WirelessCommon\\;', '_OLD_VIRTUAL_PROMPT': '$P$G'})
>>> from ctypes import*
>>> mydll = cdll.LoadLibrary("cudnn64_7.dll")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py", line 451, in LoadLibrary
return self._dlltype(name)
File "C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py", line 373, in __init__
self._handle = _dlopen(self._name, mode)
FileNotFoundError: Could not find module 'cudnn64_7.dll' (or one of its dependencies). Try using the full path with constructor syntax.
>>> mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cudnn64_7.dll")
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[GitHub] [incubator-mxnet] alinagithub commented on issue #17887: Import
mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602328727
OK, I think I understand one think from Depends on the libmxnet.dll.
The Libmxnet.dll is looking for CUFFT64_92.DLL, CUBLA... etc in the local site-packages/mxnet/ directory, instead of the CUDA /bin directory.
I still don't get it as the CUDA /bin path is set in %path%
If I copy the DLLs (CYBLAS64_92, CUFFT_64_92, CUSOLVER64_92, CURAND64_92, NVRTC64_92) import of mxnet succeed and little nd array test on GPU works.
Any idea what may happen? Thank you.
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[GitHub] [incubator-mxnet] yajiedesign edited a comment on issue #17887:
Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
yajiedesign edited a comment on issue #17887: Import mxnet for mxnet-cu92 fails
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602319754
I'm not sure about the version you installed.
If the latest version is installed.
Use depend to check that mxnet_xx.dll.xx is your gpu compute capability.
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[GitHub] [incubator-mxnet] howff commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
howff commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-672110437
The same problem exists when I install `mxnet_cu102-1.6.0` into Python38 on Windows via the wheel `mxnet_cu102-1.6.0-py2.py3-win_amd64.dll` (if you can't get this from pip install then you can get it from dist.mxnet.io/python)
It gives an error `"Could not find module C:\python38\lib\site-packages\mxnet\libmxnet.dll"`
Manually copying the DLLs from the Program Files\NVIDIA GPU Toolkit\CUDA directory solves it.
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[GitHub] [incubator-mxnet] howff commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
howff commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-673998339
@nikky4D I installed Python into c:\Python38 and installed CUDA 10.2 from nvidia then I downloaded the latest nightly version of mxnet from pip which actually turned out to be mxnet-1.6.0 listed here: https://dist.mxnet.io/python, the URL is https://repo.mxnet.io/dist/python/cu102/mxnet_cu102-1.6.0-py2.py3-none-win_amd64.whl. Download that and pip install it. If it gives an error when you try to use it that it cannot load the libmxnet.dll then it's usually caused by a missing dependency. I didn't try too hard to find out a proper solution but I proved that it can be made to work by manually copying the CUDA .dll files from Program Files into Python38 site-packages\mxnet (I don't have the VM running so can't tell you the exact paths)
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[GitHub] [incubator-mxnet] nikky4D commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
nikky4D commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-673980555
@howff I am having the same issues. Can you tell me what is your setup on Windows? Also what is the pip install command you used to install mxnet for cuda 10.2
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[GitHub] [incubator-mxnet] Xenos24R commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
Xenos24R commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-657008241
> Hi Xenos24R,
> No, not really found a perfect solution.
> I use a virtual env, so I implemented a little .bat script and I basically copy the DLL to Python packages dir:
>
> ```
> :begin
> @echo off
> @echo copy cuda libs
> call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cublas64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
> call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\curand64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
> call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cufft64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
> call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cusolver64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
> call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\nvrtc64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
> @echo activate python env
> call C:\.env38\Scripts\activate.bat
> ```
>
> Not ideal, but functional!
> AL
Hi alinagithub,
Thank you for your reply.I think the problem may have been caused by a file path error in some configuration files due to the installation of both GPU and CPU versions of MXNET,and I solved the problem by creating a virtual environment.
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[GitHub] [incubator-mxnet] Xenos24R removed a comment on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
Xenos24R removed a comment on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-657008155
Hi alinagithub,
Thank you for your reply.I think the problem may have been caused by a file path error in some configuration files due to the installation of both GPU and CPU versions of MXNET,and I solved the problem by creating a virtual environment.
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[GitHub] [incubator-mxnet] alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
alinagithub commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-650764986
Hi Xenos24R,
No, not really found a perfect solution.
I use a virtual env, so I implemented a little .bat script and I basically copy the DLL to Python packages dir:
```
:begin
@echo off
@echo copy cuda libs
call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cublas64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\curand64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cufft64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\cusolver64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
call copy /y "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin\\nvrtc64_92.dll" "C:\\.env38\\Lib\\site-packages\\mxnet"
@echo activate python env
call C:\.env38\Scripts\activate.bat
```
Not ideal, but functional!
AL
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[GitHub] [incubator-mxnet] Xenos24R commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
Xenos24R commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-644178032
I meet the same error,have u got it?
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[GitHub] [incubator-mxnet] nikky4D edited a comment on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
nikky4D edited a comment on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-674003971
@howff Thank you for the info. I'll try the manual copy and hopefully that will work.
Update:
It worked. I copied all the .dll files in NVIDIA COMPUTING TOOLKIT/v10.2/bin to the env/lib/site-packages/mxne
I did not know which one would be useful so I copied all of them
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[GitHub] [incubator-mxnet] nikky4D commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
nikky4D commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-674003971
@howff Thank you for the info. I'll try the manual copy and hopefully that will work.
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[GitHub] [incubator-mxnet] Xenos24R commented on issue #17887: Import mxnet for mxnet-cu92 fails
Posted by GitBox <gi...@apache.org>.
Xenos24R commented on issue #17887:
URL: https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-657008155
Hi alinagithub,
Thank you for your reply.I think the problem may have been caused by a file path error in some configuration files due to the installation of both GPU and CPU versions of MXNET,and I solved the problem by creating a virtual environment.
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