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官网只有英文版的才更新到了TensorFlow 2.15.0,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。
Version | Python version | Compiler | Build tools |
---|---|---|---|
tensorflow-2.16.1 | 3.9-3.12 | Clang 17.0.6 | Bazel 6.5.0 |
tensorflow-2.15.0 | 3.9-3.11 | Clang 16.0.0 | Bazel 6.1.0 |
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 |
Version | Python version | Compiler | Build tools | cuDNN | CUDA |
---|---|---|---|---|---|
tensorflow-2.16.1 | 3.9-3.12 | Clang 17.0.6 | Bazel 6.5.0 | 8.9 | 12.3 |
tensorflow-2.15.0 | 3.9-3.11 | Clang 16.0.0 | Bazel 6.1.0 | 8.9 | 12.2 |
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 |
Version | Python version | Compiler | Build tools |
---|---|---|---|
tensorflow-2.16.1 | 3.9-3.12 | Clang from xcode 13.6 | Bazel 6.5.0 |
tensorflow-2.15.0 | 3.9-3.11 | Clang from xcode 10.15 | Bazel 6.1.0 |
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 |
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 |
★注意:从 TF 2.11 开始,Windows平台不再支持 CUDA 构建。要在 Windows 上使用 TensorFlow GPU,您需要在 WSL2 中构建/安装 TensorFlow,或者使用 tensorflow-cpu 配合 TensorFlow-DirectML-Plugin。
Version | Python version | Compiler | Build tools |
---|---|---|---|
tensorflow-2.16.1 | 3.9-3.12 | MSVC 2019 | Bazel 6.5.0 |
tensorflow-2.15.0 | 3.9-3.11 | MSVC 2019 | Bazel 6.1.0 |
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 |
★注意:原生 Windows 上的 GPU 支持仅适用于 2.10 或更早版本,从 TF 2.11 开始,Windows 不支持 CUDA 构建。要在 Windows 上使用 TensorFlow GPU,您需要在 WSL2 中构建/安装 TensorFlow,或者使用 tensorflow-cpu 配合 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 |
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 |
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