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張量流 Windows 輪

此儲存庫包含在 Windows 上使用 Tensorflow 所需的所有內容。

  • Python 3.9 支持

  • 64 位元 Windows 支援

  • 傳統和低階 CPU（無 AVX）支持

    • 如果您的 CPU 不支援 AVX 指令，您將收到ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed. (Win 10) 或ImportError: DLL load failed with error code -1073741795 (Win 7) 使用 tensorflow 官方版本 1.6.0 及更高版本時 ( pip install tensorflow )
    • 您可以使用pip install <filename.whl>從 sse2 資料夾下載該文件，而不是使用官方 AVX 二進位。
小路編譯器CUDA/CUDNN單指令多資料流筆記
2.9.0py39CPU+GPUcuda117cudnn8sse2 VS2022 17.2 11.7.0_516.01/8.4.0.27 x86_64 Python 3.9/compute_35
2.9.0py39CPU+GPUcuda117cudnn8avx2 VS2022 17.2 11.7.0_516.01/8.4.0.27 AVX2 Python 3.9/compute_35、sm_50、sm_52、sm_61、sm_70、sm_75、compute_86
2.8.0py39CPU+GPUcuda115cudnn8sse2 VS2019 16.11 11.5.2_496.13/8.3.2.44 x86_64 Python 3.9/compute_35
2.8.0py39CPU+GPUcuda115cudnn8avx2 VS2019 16.11 11.5.2_496.13/8.3.2.44 AVX2 Python 3.9/compute_35、sm_50、sm_52、sm_61、sm_70、sm_75、compute_86
2.7.0py38CPU+GPUcuda115cudnn8sse2 VS2019 16.11 11.5.0_496.13/8.3.0.98 x86_64 Python 3.8/compute_35
2.7.0py38CPU+GPUcuda115cudnn8avx2 VS2019 16.11 11.5.0_496.13/8.3.0.98 AVX2 Python 3.8/compute_35、sm_50、sm_52、sm_61、sm_70、sm_75、compute_86
2.6.0py38CPU+GPUcuda113cudnn8sse2 VS2019 16.11 11.4.1_471.41/8.2.2.26 x86_64 Python 3.8/compute_35
2.6.0py38CPU+GPUcuda113cudnn8avx2 VS2019 16.11 11.4.1_471.41/8.2.2.26 AVX2 Python 3.8/compute_35、sm_50、sm_52、sm_61、sm_70、sm_75、compute_86
2.5.0py38CPU+GPUcuda113cudnn8sse2 VS2019 16.9 11.3.0_465.89/8.2.0.53 x86_64 Python 3.8/compute_35
2.5.0py38CPU+GPUcuda113cudnn8avx2 VS2019 16.9 11.3.0_465.89/8.2.0.53 AVX2 Python 3.8/compute_35、sm_50、sm_52、sm_61、sm_70、sm_75、compute_86
1.15.4+nv20.12py38CPU+GPUcuda111cudnn8sse2 VS2019 16.8 11.1.1_456.81/8.0.5.39 x86_64 Python 3.8/計算 3.5
1.15.4+nv20.12py38CPU+GPUcuda111cudnn8avx2 VS2019 16.8 11.1.1_456.81/8.0.5.39 AVX2 Python 3.8/計算 3.5,5.0,5.2,6.1,7.0,7.5,8.6
2.4.0py38CPU+GPUcuda111cudnn8sse2 VS2019 16.8 11.1.1_456.81/8.0.5.39 x86_64 Python 3.8/compute_35
2.4.0py38CPU+GPUcuda111cudnn8avx2 VS2019 16.8 11.1.1_456.81/8.0.5.39 AVX2 Python 3.8/compute_35、sm_50、sm_52、sm_61、sm_70、sm_75、compute_86
2.3.0py38CPU+GPUcuda110cudnn8sse2 VS2019 16.6 11.0.2_451.48/8.0.2.39 x86_64 Python 3.8/compute_35
2.3.0py38CPU+GPUcuda110cudnn8avx2 VS2019 16.6 11.0.2_451.48/8.0.2.39 AVX2 Python 3.8/compute_35、sm_50、sm_52、sm_61、sm_70、compute_75
2.2.0py37CPU+GPUcuda102cudnn76sse2 VS2019 16.5 10.2.89_441.22/7.6.5.32 x86_64 Python 3.7/計算 3.0
2.2.0py37CPU+GPUcuda102cudnn76avx2 VS2019 16.5 10.2.89_441.22/7.6.5.32 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
2.1.0py37CPU+GPUcuda102cudnn76sse2 VS2019 16.4 10.2.89_441.22/7.6.5.32 x86_64 Python 3.7/計算 3.0
2.1.0py37CPU+GPUcuda102cudnn76avx2 VS2019 16.4 10.2.89_441.22/7.6.5.32 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
2.0.0py37CPUsse2 VS2019 16.3不x86_64 Python 3.7
2.0.0py37CPUavx2 VS2019 16.3不AVX2 Python 3.7
2.0.0py37GPUcuda101cudnn76sse2 VS2019 16.3 10.1.243_426.00/7.6.4.38 x86_64 Python 3.7/計算 3.0
2.0.0py37GPUcuda101cudnn76avx2 VS2019 16.3 10.1.243_426.00/7.6.4.38 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.15.0py37CPU+GPUcuda101cudnn76sse2 VS2019 16.3 10.1.243_426.00/7.6.4.38 x86_64 Python 3.7/計算 3.0
1.15.0py37CPU+GPUcuda101cudnn76avx2 VS2019 16.3 10.1.243_426.00/7.6.4.38 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.14.0py37CPUsse2 VS2019 16.1不x86_64 Python 3.7
1.14.0py37CPUavx2 VS2019 16.1不AVX2 Python 3.7
1.14.0py37GPUcuda101cudnn76sse2 VS2019 16.1 10.1.168_425.25/7.6.0.64 x86_64 Python 3.7/計算 3.0
1.14.0py37GPUcuda101cudnn76avx2 VS2019 16.1 10.1.168_425.25/7.6.0.64 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.13.1py37CPUsse2 VS2017 15.9不x86_64 Python 3.7
1.13.1py37CPUavx2 VS2017 15.9不AVX2 Python 3.7
1.13.1py37GPUcuda101cudnn75sse2 VS2017 15.9 10.1.105_418.96/7.5.0.56 x86_64 Python 3.7/計算 3.0
1.13.1py37GPUcuda101cudnn75avx2 VS2017 15.9 10.1.105_418.96/7.5.0.56 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.12.0py36CPUsse2 VS2017 15.8不x86_64 Python 3.6
1.12.0py36CPUavx2 VS2017 15.8不AVX2 Python 3.6
1.12.0py36GPUcuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.1.20 x86_64 Python 3.6/計算 3.0
1.12.0py36GPUcuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.1.20 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.12.0py37CPUsse2 VS2017 15.8不x86_64 Python 3.7
1.12.0py37CPUavx2 VS2017 15.8不AVX2 Python 3.7
1.12.0py37GPUcuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.1.20 x86_64 Python 3.7/計算 3.0
1.12.0py37GPUcuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.1.20 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.11.0py36CPUsse2 VS2017 15.8不x86_64 Python 3.6
1.11.0py36CPUavx2 VS2017 15.8不AVX2 Python 3.6
1.11.0py36GPUcuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.0.29 x86_64 Python 3.6/計算 3.0
1.11.0py36GPUcuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.0.29 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.11.0py37CPUsse2 VS2017 15.8不x86_64 Python 3.7
1.11.0py37CPUavx2 VS2017 15.8不AVX2 Python 3.7
1.11.0py37GPUcuda100cudnn73sse2 VS2017 15.8 10.0.130_411.31/7.3.0.29 x86_64 Python 3.7/計算 3.0
1.11.0py37GPUcuda100cudnn73avx2 VS2017 15.8 10.0.130_411.31/7.3.0.29 AVX2 Python 3.7/計算 3.0,3.5,5.0,5.2,6.1,7.0,7.5
1.10.0py36CPUsse2 VS2017 15.8不x86_64 Python 3.6
1.10.0py36CPUavx2 VS2017 15.8不AVX2 Python 3.6
1.10.0py36GPUcuda92cudnn72sse2 VS2017 15.8 9.2.148.1/7.2.1.38 x86_64 Python 3.6/計算 3.0
1.10.0py36GPUcuda92cudnn72avx2 VS2017 15.8 9.2.148.1/7.2.1.38 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.10.0py27CPUsse2 VS2017 15.8不x86_64 Python 2.7
1.10.0py27CPUavx2 VS2017 15.8不AVX2 Python 2.7
1.10.0py27GPUcuda92cudnn72sse2 VS2017 15.8 9.2.148.1/7.2.1.38 x86_64 Python 2.7/計算 3.0
1.10.0py27GPUcuda92cudnn72avx2 VS2017 15.8 9.2.148.1/7.2.1.38 AVX2 Python 2.7/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.9.0py36CPUsse2 VS2017 15.7不x86_64 Python 3.6
1.9.0py36CPUavx2 VS2017 15.7不AVX2 Python 3.6
1.9.0py36GPUcuda92cudnn71sse2 VS2017 15.7 9.2.148/7.1.4 x86_64 Python 3.6/計算 3.0
1.9.0py36GPUcuda92cudnn71avx2 VS2017 15.7 9.2.148/7.1.4 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.9.0py27CPUsse2 VS2017 15.7不x86_64 Python 2.7
1.9.0py27CPUavx2 VS2017 15.7不AVX2 Python 2.7
1.9.0py27GPUcuda92cudnn71sse2 VS2017 15.7 9.2.148/7.1.4 x86_64 Python 2.7/計算 3.0
1.9.0py27GPUcuda92cudnn71avx2 VS2017 15.7 9.2.148/7.1.4 AVX2 Python 2.7/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.8.0py36CPUsse2 VS2017 15.4不x86_64 Python 3.6
1.8.0py36CPUavx2 VS2017 15.4不AVX2 Python 3.6
1.8.0py36GPUcuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.3 x86_64 Python 3.6/計算 3.0
1.8.0py36GPUcuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.3 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.8.0py27CPUsse2 VS2017 15.4不x86_64 Python 2.7
1.8.0py27CPUavx2 VS2017 15.4不AVX2 Python 2.7
1.8.0py27GPUcuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.3 x86_64 Python 2.7/計算 3.0
1.8.0py27GPUcuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.3 AVX2 Python 2.7/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.7.0py36CPUsse2 VS2017 15.4不x86_64 Python 3.6
1.7.0py36CPUavx2 VS2017 15.4不AVX2 Python 3.6
1.7.0py36GPUcuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.2 x86_64 Python 3.6/計算 3.0
1.7.0py36GPUcuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.2 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.7.0py27CPUsse2 VS2017 15.4不x86_64 Python 2.7
1.7.0py27CPUavx2 VS2017 15.4不AVX2 Python 2.7
1.7.0py27GPUcuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.2 x86_64 Python 2.7/計算 3.0
1.7.0py27GPUcuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.2 AVX2 Python 2.7/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.6.0py36CPUsse2 VS2017 15.4不x86_64 Python 3.6
1.6.0py36CPUavx2 VS2017 15.4不AVX2 Python 3.6
1.6.0py36GPUcuda91cudnn71sse2 VS2017 15.4 9.1.85.3/7.1.1 x86_64 Python 3.6/計算 3.0
1.6.0py36GPUcuda91cudnn71avx2 VS2017 15.4 9.1.85.3/7.1.1 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.6.0py27CPUsse2 VS2017 15.4不x86_64 Python 2.7
1.6.0py27CPUavx2 VS2017 15.4不AVX2 Python 2.7
1.6.0py27GPUcuda91cudnn71sse2 VS2017 15.4 9.1.85.2/7.1.1 x86_64 Python 2.7/計算 3.0
1.6.0py27GPUcuda91cudnn71avx2 VS2017 15.4 9.1.85.2/7.1.1 AVX2 Python 2.7/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.5.0py36CPUavx VS2017 15.4不AVX Python 3.6
1.5.0py36CPUavx2 VS2017 15.4不AVX2 Python 3.6
1.5.0py36GPUcuda91cudnn7avx2 VS2017 15.4 9.1.85/7.0.5 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.5.0py27CPUsse2 VS2017 15.4不x86_64 Python 2.7
1.5.0py27CPUavx VS2017 15.4不AVX Python 2.7
1.5.0py27CPUavx2 VS2017 15.4不AVX2 Python 2.7
1.5.0py27GPUcuda91cudnn7sse2 VS2017 15.4 9.1.85/7.0.5 x86_64 Python 2.7/計算 3.0
1.5.0py27GPUcuda91cudnn7avx2 VS2017 15.4 9.1.85/7.0.5 AVX2 Python 2.7/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.4.0py36CPUavx VS2017 15.4不AVX Python 3.6
1.4.0py36CPUavx2 VS2017 15.4不AVX2 Python 3.6
1.4.0py36GPUcuda91cudnn7avx2 VS2017 15.4 9.1.85/7.0.5 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1,7.0
1.3.0py36CPUavx VS2015更新3不AVX Python 3.6
1.3.0py36CPUavx2 VS2015更新3不AVX2 Python 3.6
1.3.0py36GPUcuda8cudnn6avx2 VS2015更新3 8.0.61.2/6.0.21 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1
1.2.1py36CPUavx VS2015更新3不AVX Python 3.6
1.2.1py36CPUavx2 VS2015更新3不AVX2 Python 3.6
1.2.1py36GPUcuda8cudnn6avx2 VS2015更新3 8.0.61.2/6.0.21 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1
1.1.0py36CPUavx VS2015更新3不AVX Python 3.6
1.1.0py36CPUavx2 VS2015更新3不AVX2 Python 3.6
1.1.0py36GPUcuda8cudnn6avx2 VS2015更新3 8.0.61.2/6.0.21 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1
1.0.0py36CPUsse2 VS2015更新3不x86_64 Python 3.6
1.0.0py36CPUavx VS2015更新3不AVX Python 3.6
1.0.0py36CPUavx2 VS2015更新3不AVX2 Python 3.6
1.0.0py36GPUcuda8cudnn51sse2 VS2015更新3 8.0.61.2/5.1.10 x86_64 Python 3.6/計算 3.0
1.0.0py36GPUcuda8cudnn51avx2 VS2015更新3 8.0.61.2/5.1.10 AVX2 Python 3.6/計算 3.0,3.5,5.0,5.2,6.1
0.12.0py35CPUavx VS2015更新3不AVX Python 3.5
0.12.0py35CPUavx2 VS2015更新3不AVX2 Python 3.5
0.12.0py35GPUcuda8cudnn51avx2 VS2015更新3 8.0.61.2/5.1.10 AVX2 Python 3.5/計算 3.0,3.5,5.0,5.2,6.1
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