GithubHelp home page GithubHelp logo

tensorflow-windows-wheel's Introduction

tensorflow-windows-wheel

This repo contains all you need that work with tensorflow on windows.

  • Python 3.7 support

  • 64 bit Windows support

  • Legacy & low-end CPU (without AVX) support

    • If your CPU didn't support AVX instructions, you will get ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed. (Win 10) or ImportError: DLL load failed with error code -1073741795 (Win 7) when using tensorflow official release 1.6.0 and up (pip install tensorflow)
    • You can use pip install [filename].whl which file download from sse2 folder instead of using official AVX binary.

  • Legacy GPU (compute capability 3.0 up) support

    • Because this repo's binary only contain PTX code, it need to do a Just-In-Time compile to SASS to target your graphic card by your driver. It will take time for compiling when execute tensorflow first time.
Path Compiler CUDA/cuDNN SIMD Notes
1.13.1\py37\CPU\sse2 VS2017 15.9 No x86_64 Python 3.7
1.13.1\py37\CPU\avx2 VS2017 15.9 No AVX2 Python 3.7
1.13.1\py37\GPU\cuda101cudnn75sse2 VS2017 15.9 10.1.105_418.96/7.5.0.56 x86_64 Python 3.7/Compute 3.0
1.13.1\py37\GPU\cuda101cudnn75avx2 VS2017 15.9 10.1.105_418.96/7.5.0.56 AVX2 Python 3.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.12.0\py36\CPU\sse2 VS2017 15.8 No x86_64 Python 3.6
1.12.0\py36\CPU\avx2 VS2017 15.8 No AVX2 Python 3.6
1.12.0\py36\GPU\cuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.1.20 x86_64 Python 3.6/Compute 3.0
1.12.0\py36\GPU\cuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.1.20 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.12.0\py37\CPU\sse2 VS2017 15.8 No x86_64 Python 3.7
1.12.0\py37\CPU\avx2 VS2017 15.8 No AVX2 Python 3.7
1.12.0\py37\GPU\cuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.1.20 x86_64 Python 3.7/Compute 3.0
1.12.0\py37\GPU\cuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.1.20 AVX2 Python 3.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.11.0\py36\CPU\sse2 VS2017 15.8 No x86_64 Python 3.6
1.11.0\py36\CPU\avx2 VS2017 15.8 No AVX2 Python 3.6
1.11.0\py36\GPU\cuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.0.29 x86_64 Python 3.6/Compute 3.0
1.11.0\py36\GPU\cuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.0.29 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.11.0\py37\CPU\sse2 VS2017 15.8 No x86_64 Python 3.7
1.11.0\py37\CPU\avx2 VS2017 15.8 No AVX2 Python 3.7
1.11.0\py37\GPU\cuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.0.29 x86_64 Python 3.7/Compute 3.0
1.11.0\py37\GPU\cuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.0.29 AVX2 Python 3.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.10.0\py36\CPU\sse2 VS2017 15.8 No x86_64 Python 3.6
1.10.0\py36\CPU\avx2 VS2017 15.8 No AVX2 Python 3.6
1.10.0\py36\GPU\cuda92cudnn72sse2 VS2017 15.8 9.2.148.1/7.2.1.38 x86_64 Python 3.6/Compute 3.0
1.10.0\py36\GPU\cuda92cudnn72avx2 VS2017 15.8 9.2.148.1/7.2.1.38 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.10.0\py27\CPU\sse2 VS2017 15.8 No x86_64 Python 2.7
1.10.0\py27\CPU\avx2 VS2017 15.8 No AVX2 Python 2.7
1.10.0\py27\GPU\cuda92cudnn72sse2 VS2017 15.8 9.2.148.1/7.2.1.38 x86_64 Python 2.7/Compute 3.0
1.10.0\py27\GPU\cuda92cudnn72avx2 VS2017 15.8 9.2.148.1/7.2.1.38 AVX2 Python 2.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.9.0\py36\CPU\sse2 VS2017 15.7 No x86_64 Python 3.6
1.9.0\py36\CPU\avx2 VS2017 15.7 No AVX2 Python 3.6
1.9.0\py36\GPU\cuda92cudnn71sse2 VS2017 15.7 9.2.148/7.1.4 x86_64 Python 3.6/Compute 3.0
1.9.0\py36\GPU\cuda92cudnn71avx2 VS2017 15.7 9.2.148/7.1.4 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.9.0\py27\CPU\sse2 VS2017 15.7 No x86_64 Python 2.7
1.9.0\py27\CPU\avx2 VS2017 15.7 No AVX2 Python 2.7
1.9.0\py27\GPU\cuda92cudnn71sse2 VS2017 15.7 9.2.148/7.1.4 x86_64 Python 2.7/Compute 3.0
1.9.0\py27\GPU\cuda92cudnn71avx2 VS2017 15.7 9.2.148/7.1.4 AVX2 Python 2.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.8.0\py36\CPU\sse2 VS2017 15.4 No x86_64 Python 3.6
1.8.0\py36\CPU\avx2 VS2017 15.4 No AVX2 Python 3.6
1.8.0\py36\GPU\cuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.3 x86_64 Python 3.6/Compute 3.0
1.8.0\py36\GPU\cuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.3 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.8.0\py27\CPU\sse2 VS2017 15.4 No x86_64 Python 2.7
1.8.0\py27\CPU\avx2 VS2017 15.4 No AVX2 Python 2.7
1.8.0\py27\GPU\cuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.3 x86_64 Python 2.7/Compute 3.0
1.8.0\py27\GPU\cuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.3 AVX2 Python 2.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.7.0\py36\CPU\sse2 VS2017 15.4 No x86_64 Python 3.6
1.7.0\py36\CPU\avx2 VS2017 15.4 No AVX2 Python 3.6
1.7.0\py36\GPU\cuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.2 x86_64 Python 3.6/Compute 3.0
1.7.0\py36\GPU\cuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.2 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.7.0\py27\CPU\sse2 VS2017 15.4 No x86_64 Python 2.7
1.7.0\py27\CPU\avx2 VS2017 15.4 No AVX2 Python 2.7
1.7.0\py27\GPU\cuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.2 x86_64 Python 2.7/Compute 3.0
1.7.0\py27\GPU\cuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.2 AVX2 Python 2.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.6.0\py36\CPU\sse2 VS2017 15.4 No x86_64 Python 3.6
1.6.0\py36\CPU\avx2 VS2017 15.4 No AVX2 Python 3.6
1.6.0\py36\GPU\cuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.1 x86_64 Python 3.6/Compute 3.0
1.6.0\py36\GPU\cuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.1 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.6.0\py27\CPU\sse2 VS2017 15.4 No x86_64 Python 2.7
1.6.0\py27\CPU\avx2 VS2017 15.4 No AVX2 Python 2.7
1.6.0\py27\GPU\cuda91cudnn71sse2 VS2017 15.4 9.1.85.2/7.1.1 x86_64 Python 2.7/Compute 3.0
1.6.0\py27\GPU\cuda91cudnn71avx2 VS2017 15.4 9.1.85.2/7.1.1 AVX2 Python 2.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.5.0\py36\CPU\avx VS2017 15.4 No AVX Python 3.6
1.5.0\py36\CPU\avx2 VS2017 15.4 No AVX2 Python 3.6
1.5.0\py36\GPU\cuda91cudnn7avx2 VS2017 15.4 9.1.85/7.0.5 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.5.0\py27\CPU\sse2 VS2017 15.4 No x86_64 Python 2.7
1.5.0\py27\CPU\avx VS2017 15.4 No AVX Python 2.7
1.5.0\py27\CPU\avx2 VS2017 15.4 No AVX2 Python 2.7
1.5.0\py27\GPU\cuda91cudnn7sse2 VS2017 15.4 9.1.85/7.0.5 x86_64 Python 2.7/Compute 3.0
1.5.0\py27\GPU\cuda91cudnn7avx2 VS2017 15.4 9.1.85/7.0.5 AVX2 Python 2.7/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.4.0\py36\CPU\avx VS2017 15.4 No AVX Python 3.6
1.4.0\py36\CPU\avx2 VS2017 15.4 No AVX2 Python 3.6
1.4.0\py36\GPU\cuda91cudnn7avx2 VS2017 15.4 9.1.85/7.0.5 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1,7.0
1.3.0\py36\CPU\avx VS2015 Update 3 No AVX Python 3.6
1.3.0\py36\CPU\avx2 VS2015 Update 3 No AVX2 Python 3.6
1.3.0\py36\GPU\cuda8cudnn6avx2 VS2015 Update 3 8.0.61.2/6.0.21 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1
1.2.1\py36\CPU\avx VS2015 Update 3 No AVX Python 3.6
1.2.1\py36\CPU\avx2 VS2015 Update 3 No AVX2 Python 3.6
1.2.1\py36\GPU\cuda8cudnn6avx2 VS2015 Update 3 8.0.61.2/6.0.21 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1
1.1.0\py36\CPU\avx VS2015 Update 3 No AVX Python 3.6
1.1.0\py36\CPU\avx2 VS2015 Update 3 No AVX2 Python 3.6
1.1.0\py36\GPU\cuda8cudnn6avx2 VS2015 Update 3 8.0.61.2/6.0.21 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1
1.0.0\py36\CPU\sse2 VS2015 Update 3 No x86_64 Python 3.6
1.0.0\py36\CPU\avx VS2015 Update 3 No AVX Python 3.6
1.0.0\py36\CPU\avx2 VS2015 Update 3 No AVX2 Python 3.6
1.0.0\py36\GPU\cuda8cudnn51sse2 VS2015 Update 3 8.0.61.2/5.1.10 x86_64 Python 3.6/Compute 3.0
1.0.0\py36\GPU\cuda8cudnn51avx2 VS2015 Update 3 8.0.61.2/5.1.10 AVX2 Python 3.6/Compute 3.0,3.5,5.0,5.2,6.1
0.12.0\py35\CPU\avx VS2015 Update 3 No AVX Python 3.5
0.12.0\py35\CPU\avx2 VS2015 Update 3 No AVX2 Python 3.5
0.12.0\py35\GPU\cuda8cudnn51avx2 VS2015 Update 3 8.0.61.2/5.1.10 AVX2 Python 3.5/Compute 3.0,3.5,5.0,5.2,6.1

tensorflow-windows-wheel's People

Contributors

fo40225 avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.