作者:无视一个水阿哥_470 | 来源:互联网 | 2023-09-03 16:46
tensorflow版本及其对应环境WindowsCPUGPU安装命令下载地址来自官网的发布https:www.tensorflow.orginstallsource_windo
来自官网的发布
https://www.tensorflow.org/install/source_windows#tested_build_configurations,持续更新。
Windows
最新的已经出到2.5.0,但是官网还没有更新。本人使用python3.6+tensorflow-gpu2.5.0+windows10+CUDA11.1配置成功。
CPU
版本 | Python 版本 | 编译器 | 构建工具 |
---|
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
使用GPU版本,记得安装CUDA和cuDNN。
版本 | Python 版本 | 编译器 | 构建工具 | cuDNN | CUDA |
---|
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 |
安装命令
pip install tensorflow==version
pip install tensorflow-gpu==version
安装多个版本,最好创建虚拟环境分开安装。多个版本CUDA可以共存。
下载地址
CUDA:https://developer.nvidia.com/cuda-downloads
cuDNN:https://developer.nvidia.com/zh-cn/cudnn