Tensorflow小技巧01：检测本地Tensorflow的版本

Franklin2024-04-24 14:45

前言：

以Pycharm为例，Windwos10系统，检测本地环境的Tensorflow的版本：

1 打开Pycharm窗口

2 在窗口中输入：

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python

Python 3.9.5 (tags/v3.9.5:0a7dcbd, May 3 2021, 17:27:52) $MSC v.1928 64 bit (AMD64)$ on win32

Type "help", "copyright", "credits" or "license" for more information.

3 引入tensorflow：

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>>> import tensorflow as tf

2024-04-18 09:53:56.814702: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.

2024-04-18 09:53:58.376064: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.

4 输入版本查询：

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>>> tf.__version__

笔者的版本：

'2.16.1'