1. 官方配置
官网除了中文(包括简体和繁体)之外的才更新到了TensorFlow 2.18.0,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。
Linux
CPU
Version |
Python version |
Compiler |
Build tools |
tensorflow-2.18.0 |
3.9-3.12 |
Clang 17.0.6 |
Bazel 6.5.0 |
tensorflow-2.17.0 |
3.9-3.12 |
Clang 17.0.6 |
Bazel 6.5.0 |
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 |
GPU
Version |
Python version |
Compiler |
Build tools |
cuDNN |
CUDA |
tensorflow-2.18.0 |
3.9-3.12 |
Clang 17.0.6 |
Bazel 6.5.0 |
9.3 |
12.5 |
tensorflow-2.17.0 |
3.9-3.12 |
Clang 17.0.6 |
Bazel 6.5.0 |
8.9 |
12.3 |
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 |
macOS
CPU
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 |
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 |
★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。
Windows
CPU
Version |
Python version |
Compiler |
Build tools |
tensorflow-2.18.0 |
3.9-3.12 |
CLANG 17.0.6 |
Bazel 6.5.0 |
tensorflow-2.17.0 |
3.9-3.12 |
CLANG 17.0.6 |
Bazel 6.5.0 |
tensorflow-2.16.1 |
3.9-3.12 |
CLANG 17.0.6 |
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 |
GPU
★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 |
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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