Tensorflow小技巧01：检测本地Tensorflow的版本

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：

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：

>>> 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：

>>> tf.__version__   

笔者的版本： 

'2.16.1'

原文地址：https://blog.csdn.net/yellow_hill/article/details/137908459

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