tensorflow-windows-wheel
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Tensorflow 1.8 with CUDA 9.2
Have you compiled Tensorflow 1.8 with CUDA 9.2?
I will use CUDA 9.2 to build tensorflow-gpu 1.9.0.
yes and the last cudnn drivers are Download cuDNN v7.1.4 (May 16, 2018), for CUDA 9.2. Please do it with those. Because I cannot find a download link cuDNN v7.1.3
also with avx2 support would be great :)
Thanks for your work!
cuDNN 7.1.3 for CUDA 9.1 Windows 10
cudnn-9.1-windows10-x64-v7.1.zip
SHA1: 914006C6407256408EE9C18D6115FDA1209C2F0B
I have rebuild the tensorflow-gpu 1.8.0 with CUDA 9.2& cuDNN 7.1.4.
https://github.com/fo40225/tensorflow-windows-wheel/tree/master/1.8.0/py36/GPU/cuda92cudnn71sse2
try it.
@fo40225 thanks for the last version of cuda 9.2. It works to me much better that the 9.1.
Can you compile me the version with avx support? I think it will work even better ;)
Thanks for your work! I really appreciate it :)
Tensorflow team has planed to use CUDA 9.2 to build 1.9.0, it will contain AVX support.
Offtopic: CUDA 9.1 + AVX (not AVX2) to build 1.8.0 maybe?
Nvidia didn't provide cuDNN 7.1.x for CUDA 9.1, maybe cuda 9.1 is deprecated.
Have you compiled Tensorflow 1.8 with CUDA 9.2 in Linux for example ubuntu?
@gaohongfein No, you can ask others who maintains custom Linux build for help.
https://github.com/mind/wheels https://github.com/lakshayg/tensorflow-build https://github.com/yaroslavvb/tensorflow-community-wheels/issues
Thank you very much
@gaohongfein I build the cuda9.2 for TensorFlow1.8.0(python3.6)on ubuntu18.04。 https://github.com/mtianyan/tensorflow-linux-wheel
@fo40225 Ask something about cuda92cudnn71sse2 wheel. Is there AVX2 support on it? // And thanks a lot for compiling these packages, later i would try c++ lib.
CMake Error at CMakeLists.txt:322 (message): Selected compiler (or version) is not supported for CUDA I use win10+vs2017+cuda9.2+cudnn7.1 compile tensorflow1.8. When I use cmake generate the file, it get the error.How can I resolve?
@yanhaiming56 You have two options to solve that:
- edit
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include\crt\host_config.h
Line 131:
from
#if _MSC_VER < 1600 || _MSC_VER > 1913
to
#if _MSC_VER < 1600
OR
- install vs2017 15.6 from https://docs.microsoft.com/en-us/visualstudio/productinfo/installing-an-earlier-release-of-vs2017
Is this wheel(Tensorflow 1.8 with CUDA 9.2)support python2.7? And where should I find a CUDA9.2 wheel which support python2.7?
@tgbamg Uploaded.
https://github.com/fo40225/tensorflow-windows-wheel/tree/master/1.8.0/py27/GPU/cuda92cudnn71sse2
I want to second @elranu and give massive props to @fo40225 for compiling the whl file with Cuda 9.2, CuDNN 7.14 and Python 3.6 support in Windows. Your whl file worked like a charm (see my installation environment and hardware details below).
Would you be able to compile a version with AVX support? If so, you would quickly earn yourself the title of "God Status" ;)
Thanks so much for your work - we all appreciate it!
My specs that worked with the WHL:
- Windows 10 64bit (all latest Windows updates installed)
- Python 3.6.3 (64bit) [NOTE: I'm just using simple virtual environments with virtualenv v16.0.0 & virtualenvwrapper-win v1.2.5 - NOT Anaconda]
- Visual Studio Community 2017
- CUDA Toolkit 9.2.148 (for Windows 10)
- CuDNN 7.1.4 (for Cuda 9.2)
- fo40225's compiled WHL: tensorflow_gpu-1.8.0-cp36-cp36m-win_amd64.whl
- NVIDIA GeForce GTX 1050 Ti with 4gb Ram, NVIDIA Driver version 398.36
@fo40225 Will you build tensorflow-gpu with CUDA 10 support?
I will use CUDA 10 to build tensorflow-gpu 1.11 for python 3.6 x64.
I will use CUDA 10 to build tensorflow-gpu 1.11 for python 3.6 x64.
Did you succeed w/above?
I will use CUDA 10 to build tensorflow-gpu 1.11 for python 3.6 x64.
Did you succeed w/above?
@bluecd Yes.
https://github.com/fo40225/tensorflow-windows-wheel/tree/master/1.11.0/py36/GPU