【tensorflow2.6.0 一系列相关报错记录】

tensorflow2.6.0出现的一些列报错记录

（1）tensorflow出现的numpy报错

ImportError: this version of pandas is incompatible with numpy < 1.20.3
your numpy version is 1.19.5.
Please upgrade numpy to >= 1.20.3 to use this pandas version

pip install --upgrade numpy

更新后出现报错（2）

（2）更新numpy后又出现的报错

AttributeError: module ‘numpy’ has no attribute ‘object’.
np.object was a deprecated alias for the builtin object. To avoid this error in existing code, use object by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
出现这个问题重新安装numpy1.19.5，又出现下面报错（3）
尝试修改
File ~\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\framework\dtypes.py:585，将np.object替换为object

AttributeError: module ‘numpy’ has no attribute ‘bool’.
np.bool was a deprecated alias for the builtin bool. To avoid this error in existing code, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:




ImportError: cannot import name ‘dtensor’ from ‘tensorflow.compat.v2.experimental’

（3）安装修改完成后又出现的报错

ImportError: Matplotlib requires numpy>=1.20; you have 1.19.5

（4）改了半天还是出现奇怪的报错(终极解决办法)

首先删除C:\Users\songlin\AppData\Roaming\Python\Python38\site-packages\tensorflow这个文件夹，重新安装tensorflow

pip install --upgrade tensorflow

旧环境配置

conda info --envs | grep songlin_temp
pip list | grep -E "tensorflow|numpy|pandas|matplotlib"

记录之前配置过的环境