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Tensorflow与Python、CUDA、cuDNN的版本对应表_tensorflow版本对应python3.11
作者：程序质量控制师 | 2024-02-01 10:57:35
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tensorflow版本对应python3.11
1. 官方配置
官网只有英文版的才更新到了TensorFlow 2.14.0，中文版只更新到了2.6.0，所以要想看到下面的内容需要进入官网之后右上角将语言选择为English。
经过测试的构建配置
Linux
CPU
| Version | Python version | Compiler | Build tools |
|---|---|---|---|
| tensorflow-2.14.0 | 3.9-3.11 | Clang 16.0.0 | Bazel 6.1.0 |
| tensorflow-2.13.0 | 3.8-3.11 | Clang 16.0.0 | Bazel 5.3.0 |
| tensorflow-2.12.0 | 3.8-3.11 | GCC 9.3.1 | Bazel 5.3.0 |
| tensorflow-2.11.0 | 3.7-3.10 | GCC 9.3.1 | Bazel 5.3.0 |
| tensorflow-2.10.0 | 3.7-3.10 | GCC 9.3.1 | Bazel 5.1.1 |
| tensorflow-2.9.0 | 3.7-3.10 | GCC 9.3.1 | Bazel 5.0.0 |
| tensorflow-2.8.0 | 3.7-3.10 | GCC 7.3.1 | Bazel 4.2.1 |
| tensorflow-2.7.0 | 3.7-3.9 | GCC 7.3.1 | Bazel 3.7.2 |
| tensorflow-2.6.0 | 3.6-3.9 | GCC 7.3.1 | Bazel 3.7.2 |
| tensorflow-2.5.0 | 3.6-3.9 | GCC 7.3.1 | Bazel 3.7.2 |
| tensorflow-2.4.0 | 3.6-3.8 | GCC 7.3.1 | Bazel 3.1.0 |
| tensorflow-2.3.0 | 3.5-3.8 | GCC 7.3.1 | Bazel 3.1.0 |
| tensorflow-2.2.0 | 3.5-3.8 | GCC 7.3.1 | Bazel 2.0.0 |
| tensorflow-2.1.0 | 2.7, 3.5-3.7 | GCC 7.3.1 | Bazel 0.27.1 |
| tensorflow-2.0.0 | 2.7, 3.3-3.7 | GCC 7.3.1 | Bazel 0.26.1 |
| tensorflow-1.15.0 | 2.7, 3.3-3.7 | GCC 7.3.1 | Bazel 0.26.1 |
| tensorflow-1.14.0 | 2.7, 3.3-3.7 | GCC 4.8 | Bazel 0.24.1 |
| tensorflow-1.13.1 | 2.7, 3.3-3.7 | GCC 4.8 | Bazel 0.19.2 |
| tensorflow-1.12.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.15.0 |
| tensorflow-1.11.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.15.0 |
| tensorflow-1.10.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.15.0 |
| tensorflow-1.9.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.11.0 |
| tensorflow-1.8.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.10.0 |
| tensorflow-1.7.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.10.0 |
| tensorflow-1.6.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.9.0 |
| tensorflow-1.5.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.8.0 |
| tensorflow-1.4.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.5.4 |
| tensorflow-1.3.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.5 |
| tensorflow-1.2.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.5 |
| tensorflow-1.1.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.2 |
| tensorflow-1.0.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.2 |
GPU
| Version | Python version | Compiler | Build tools | cuDNN | CUDA |
|---|---|---|---|---|---|
| tensorflow-2.14.0 | 3.9-3.11 | Clang 16.0.0 | Bazel 6.1.0 | 8.7 | 11.8 |
| tensorflow-2.13.0 | 3.8-3.11 | Clang 16.0.0 | Bazel 5.3.0 | 8.6 | 11.8 |
| tensorflow-2.12.0 | 3.8-3.11 | GCC 9.3.1 | Bazel 5.3.0 | 8.6 | 11.8 |
| tensorflow-2.11.0 | 3.7-3.10 | GCC 9.3.1 | Bazel 5.3.0 | 8.1 | 11.2 |
| tensorflow-2.10.0 | 3.7-3.10 | GCC 9.3.1 | Bazel 5.1.1 | 8.1 | 11.2 |
| tensorflow-2.9.0 | 3.7-3.10 | GCC 9.3.1 | Bazel 5.0.0 | 8.1 | 11.2 |
| tensorflow-2.8.0 | 3.7-3.10 | GCC 7.3.1 | Bazel 4.2.1 | 8.1 | 11.2 |
| tensorflow-2.7.0 | 3.7-3.9 | GCC 7.3.1 | Bazel 3.7.2 | 8.1 | 11.2 |
| tensorflow-2.6.0 | 3.6-3.9 | GCC 7.3.1 | Bazel 3.7.2 | 8.1 | 11.2 |
| tensorflow-2.5.0 | 3.6-3.9 | GCC 7.3.1 | Bazel 3.7.2 | 8.1 | 11.2 |
| tensorflow-2.4.0 | 3.6-3.8 | GCC 7.3.1 | Bazel 3.1.0 | 8.0 | 11.0 |
| tensorflow-2.3.0 | 3.5-3.8 | GCC 7.3.1 | Bazel 3.1.0 | 7.6 | 10.1 |
| tensorflow-2.2.0 | 3.5-3.8 | GCC 7.3.1 | Bazel 2.0.0 | 7.6 | 10.1 |
| tensorflow-2.1.0 | 2.7, 3.5-3.7 | GCC 7.3.1 | Bazel 0.27.1 | 7.6 | 10.1 |
| tensorflow-2.0.0 | 2.7, 3.3-3.7 | GCC 7.3.1 | Bazel 0.26.1 | 7.4 | 10.0 |
| tensorflow_gpu-1.15.0 | 2.7, 3.3-3.7 | GCC 7.3.1 | Bazel 0.26.1 | 7.4 | 10.0 |
| tensorflow_gpu-1.14.0 | 2.7, 3.3-3.7 | GCC 4.8 | Bazel 0.24.1 | 7.4 | 10.0 |
| tensorflow_gpu-1.13.1 | 2.7, 3.3-3.7 | GCC 4.8 | Bazel 0.19.2 | 7.4 | 10.0 |
| tensorflow_gpu-1.12.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.11.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.10.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.9.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.11.0 | 7 | 9 |
| tensorflow_gpu-1.8.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.10.0 | 7 | 9 |
| tensorflow_gpu-1.7.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.9.0 | 7 | 9 |
| tensorflow_gpu-1.6.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.9.0 | 7 | 9 |
| tensorflow_gpu-1.5.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.8.0 | 7 | 9 |
| tensorflow_gpu-1.4.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.5.4 | 6 | 8 |
| tensorflow_gpu-1.3.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.5 | 6 | 8 |
| tensorflow_gpu-1.2.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.5 | 5.1 | 8 |
| tensorflow_gpu-1.1.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.2 | 5.1 | 8 |
| tensorflow_gpu-1.0.0 | 2.7, 3.3-3.6 | GCC 4.8 | Bazel 0.4.2 | 5.1 | 8 |
macOS
CPU
| Version | Python version | Compiler | Build tools |
|---|---|---|---|
| tensorflow-2.14.0 | 3.9-3.11 | Clang from xcode 10.15 | Bazel 6.1.0 |
| tensorflow-2.13.0 | 3.8-3.11 | Clang from xcode 10.15 | Bazel 5.3.0 |
| tensorflow-2.12.0 | 3.8-3.11 | Clang from xcode 10.15 | Bazel 5.3.0 |
| tensorflow-2.11.0 | 3.7-3.10 | Clang from xcode 10.14 | Bazel 5.3.0 |
| tensorflow-2.10.0 | 3.7-3.10 | Clang from xcode 10.14 | Bazel 5.1.1 |
| tensorflow-2.9.0 | 3.7-3.10 | Clang from xcode 10.14 | Bazel 5.0.0 |
| tensorflow-2.8.0 | 3.7-3.10 | Clang from xcode 10.14 | Bazel 4.2.1 |
| tensorflow-2.7.0 | 3.7-3.9 | Clang from xcode 10.11 | Bazel 3.7.2 |
| tensorflow-2.6.0 | 3.6-3.9 | Clang from xcode 10.11 | Bazel 3.7.2 |
| tensorflow-2.5.0 | 3.6-3.9 | Clang from xcode 10.11 | Bazel 3.7.2 |
| tensorflow-2.4.0 | 3.6-3.8 | Clang from xcode 10.3 | Bazel 3.1.0 |
| tensorflow-2.3.0 | 3.5-3.8 | Clang from xcode 10.1 | Bazel 3.1.0 |
| tensorflow-2.2.0 | 3.5-3.8 | Clang from xcode 10.1 | Bazel 2.0.0 |
| tensorflow-2.1.0 | 2.7, 3.5-3.7 | Clang from xcode 10.1 | Bazel 0.27.1 |
| tensorflow-2.0.0 | 2.7, 3.5-3.7 | Clang from xcode 10.1 | Bazel 0.27.1 |
| tensorflow-2.0.0 | 2.7, 3.3-3.7 | Clang from xcode 10.1 | Bazel 0.26.1 |
| tensorflow-1.15.0 | 2.7, 3.3-3.7 | Clang from xcode 10.1 | Bazel 0.26.1 |
| tensorflow-1.14.0 | 2.7, 3.3-3.7 | Clang from xcode | Bazel 0.24.1 |
| tensorflow-1.13.1 | 2.7, 3.3-3.7 | Clang from xcode | Bazel 0.19.2 |
| tensorflow-1.12.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.15.0 |
| tensorflow-1.11.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.15.0 |
| tensorflow-1.10.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.15.0 |
| tensorflow-1.9.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.11.0 |
| tensorflow-1.8.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.10.1 |
| tensorflow-1.7.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.10.1 |
| tensorflow-1.6.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.8.1 |
| tensorflow-1.5.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.8.1 |
| tensorflow-1.4.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.5.4 |
| tensorflow-1.3.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.4.5 |
| tensorflow-1.2.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.4.5 |
| tensorflow-1.1.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.4.2 |
| tensorflow-1.0.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.4.2 |
GPU
| Version | Python version | Compiler | Build tools | cuDNN | CUDA |
|---|---|---|---|---|---|
| tensorflow_gpu-1.1.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.4.2 | 5.1 | 8 |
| tensorflow_gpu-1.0.0 | 2.7, 3.3-3.6 | Clang from xcode | Bazel 0.4.2 | 5.1 | 8 |
Note: Starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin
经过测试的构建配置
Windows
CPU
| Version | Python version | Compiler | Build tools |
|---|---|---|---|
| tensorflow-2.14.0 | 3.9-3.11 | MSVC 2019 | Bazel 6.1.0 |
| tensorflow-2.12.0 | 3.8-3.11 | MSVC 2019 | Bazel 5.3.0 |
| tensorflow-2.11.0 | 3.7-3.10 | MSVC 2019 | Bazel 5.3.0 |
| tensorflow-2.10.0 | 3.7-3.10 | MSVC 2019 | Bazel 5.1.1 |
| tensorflow-2.9.0 | 3.7-3.10 | MSVC 2019 | Bazel 5.0.0 |
| tensorflow-2.8.0 | 3.7-3.10 | MSVC 2019 | Bazel 4.2.1 |
| tensorflow-2.7.0 | 3.7-3.9 | MSVC 2019 | Bazel 3.7.2 |
| tensorflow-2.6.0 | 3.6-3.9 | MSVC 2019 | Bazel 3.7.2 |
| tensorflow-2.5.0 | 3.6-3.9 | MSVC 2019 | Bazel 3.7.2 |
| tensorflow-2.4.0 | 3.6-3.8 | MSVC 2019 | Bazel 3.1.0 |
| tensorflow-2.3.0 | 3.5-3.8 | MSVC 2019 | Bazel 3.1.0 |
| tensorflow-2.2.0 | 3.5-3.8 | MSVC 2019 | Bazel 2.0.0 |
| tensorflow-2.1.0 | 3.5-3.7 | MSVC 2019 | Bazel 0.27.1-0.29.1 |
| tensorflow-2.0.0 | 3.5-3.7 | MSVC 2017 | Bazel 0.26.1 |
| tensorflow-1.15.0 | 3.5-3.7 | MSVC 2017 | Bazel 0.26.1 |
| tensorflow-1.14.0 | 3.5-3.7 | MSVC 2017 | Bazel 0.24.1-0.25.2 |
| tensorflow-1.13.0 | 3.5-3.7 | MSVC 2015 update 3 | Bazel 0.19.0-0.21.0 |
| tensorflow-1.12.0 | 3.5-3.6 | MSVC 2015 update 3 | Bazel 0.15.0 |
| tensorflow-1.11.0 | 3.5-3.6 | MSVC 2015 update 3 | Bazel 0.15.0 |
| tensorflow-1.10.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.9.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.8.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.7.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.6.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.5.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.4.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.3.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.2.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.1.0 | 3.5 | MSVC 2015 update 3 | Cmake v3.6.3 |
| tensorflow-1.0.0 | 3.5 | MSVC 2015 update 3 | Cmake v3.6.3 |
GPU
Note: GPU support on native-Windows is only available for 2.10 or earlier versions, starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin
| Version | Python version | Compiler | Build tools | cuDNN | CUDA |
|---|---|---|---|---|---|
| tensorflow_gpu-2.10.0 | 3.7-3.10 | MSVC 2019 | Bazel 5.1.1 | 8.1 | 11.2 |
| tensorflow_gpu-2.9.0 | 3.7-3.10 | MSVC 2019 | Bazel 5.0.0 | 8.1 | 11.2 |
| tensorflow_gpu-2.8.0 | 3.7-3.10 | MSVC 2019 | Bazel 4.2.1 | 8.1 | 11.2 |
| tensorflow_gpu-2.7.0 | 3.7-3.9 | MSVC 2019 | Bazel 3.7.2 | 8.1 | 11.2 |
| tensorflow_gpu-2.6.0 | 3.6-3.9 | MSVC 2019 | Bazel 3.7.2 | 8.1 | 11.2 |
| tensorflow_gpu-2.5.0 | 3.6-3.9 | MSVC 2019 | Bazel 3.7.2 | 8.1 | 11.2 |
| tensorflow_gpu-2.4.0 | 3.6-3.8 | MSVC 2019 | Bazel 3.1.0 | 8.0 | 11.0 |
| tensorflow_gpu-2.3.0 | 3.5-3.8 | MSVC 2019 | Bazel 3.1.0 | 7.6 | 10.1 |
| tensorflow_gpu-2.2.0 | 3.5-3.8 | MSVC 2019 | Bazel 2.0.0 | 7.6 | 10.1 |
| tensorflow_gpu-2.1.0 | 3.5-3.7 | MSVC 2019 | Bazel 0.27.1-0.29.1 | 7.6 | 10.1 |
| tensorflow_gpu-2.0.0 | 3.5-3.7 | MSVC 2017 | Bazel 0.26.1 | 7.4 | 10 |
| tensorflow_gpu-1.15.0 | 3.5-3.7 | MSVC 2017 | Bazel 0.26.1 | 7.4 | 10 |
| tensorflow_gpu-1.14.0 | 3.5-3.7 | MSVC 2017 | Bazel 0.24.1-0.25.2 | 7.4 | 10 |
| tensorflow_gpu-1.13.0 | 3.5-3.7 | MSVC 2015 update 3 | Bazel 0.19.0-0.21.0 | 7.4 | 10 |
| tensorflow_gpu-1.12.0 | 3.5-3.6 | MSVC 2015 update 3 | Bazel 0.15.0 | 7.2 | 9.0 |
| tensorflow_gpu-1.11.0 | 3.5-3.6 | MSVC 2015 update 3 | Bazel 0.15.0 | 7 | 9 |
| tensorflow_gpu-1.10.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 7 | 9 |
| tensorflow_gpu-1.9.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 7 | 9 |
| tensorflow_gpu-1.8.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 7 | 9 |
| tensorflow_gpu-1.7.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 7 | 9 |
| tensorflow_gpu-1.6.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 7 | 9 |
| tensorflow_gpu-1.5.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 7 | 9 |
| tensorflow_gpu-1.4.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 6 | 8 |
| tensorflow_gpu-1.3.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 6 | 8 |
| tensorflow_gpu-1.2.0 | 3.5-3.6 | MSVC 2015 update 3 | Cmake v3.6.3 | 5.1 | 8 |
| tensorflow_gpu-1.1.0 | 3.5 | MSVC 2015 update 3 | Cmake v3.6.3 | 5.1 | 8 |
| tensorflow_gpu-1.0.0 | 3.5 | MSVC 2015 update 3 | Cmake v3.6.3 | 5.1 | 8 |
2. 第三方验证配置
2.1 官方TensorFlow
贴几个官网没有的配置表
| Version | Python version | Compiler | Build tools | cuDNN | CUDA |
|---|---|---|---|---|---|
| tensorflow-2.9 | 3.8 | 8.2.1 | 11.3.1 | ||
| tensorflow-gpu-2.0.0 | 3.7 | 7.6.5（亲测） | 10.0.130 | ||
| tensorflow-gpu==2.0.0-alpha0 | 7.5.1 | 10.0 | |||
| tensorflow_gpu-1.15.0 | 3.7.11 | 7.6.0 | 10.0.130 | ||
| tensorflow_gpu-1.15.0 | 3.7.12 | 7.6.5.32 | 10.0.130 |
上面的小版本号个人认为可以忽略不计，可以理解为下表的示例内容，需要注意的是TF1.x已经停止更新故对新硬件（主要是RTX30系列之后的显卡）不支持，故需要使用Nvidia-TensorFlow代替官方版本。
| Version | Python version | Compiler | Build tools | cuDNN | CUDA |
|---|---|---|---|---|---|
| tensorflow_gpu-1.15.0 | 3.7 | 7.6 | 10.0 |
2.2 Nvidia-TensorFlow
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