tensorflow模型部署？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。
| 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 |
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 |
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。
CUDA：https://developer.nvidia.com/cuda-downloads
cuDNN：https://developer.nvidia.com/zh-cn/cudnn
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