Tensorflow——更新到1.12.0报错处理(用安装指定版本命令装回以前的)

博主因需要安装skimage,使用了命令:

pip install -U --ignore-installed scikit-image

在安装的时候发现如下一行内容:

tensorflow 1.10.0 has requirement numpy<=1.14.5,>=1.13.3, but you'll have numpy 1.16.0 which is incompatible.

意思是我现在使用的tensorflow所需的numpy版本是不超过1.14.5的,而为了安装scikit-image必须再给我整一个1.16.0的numpy,于是我运行如下代码更新了tensorflow:

pip install --upgrade tensorflow

既然你有升级需求,我偶尔也满足一下你,应该不会出问题的……

才怪!

接下来,我的pycharm瞬间多了很多红波浪线,之前能运行的代码也报废了,经过排查,发现以下两个语句会报错:

>>> import tensorflow as tf
Traceback (most recent call last):
  File "", line 1, in 
  File "/Library/Python/2.7/site-packages/tensorflow/__init__.py", line 24, in 
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/Library/Python/2.7/site-packages/tensorflow/python/__init__.py", line 47, in 
    import numpy as np
  File "/Library/Python/2.7/site-packages/numpy/__init__.py", line 142, in 
    from . import core
  File "/Library/Python/2.7/site-packages/numpy/core/__init__.py", line 57, in 
    from . import numerictypes as nt
  File "/Library/Python/2.7/site-packages/numpy/core/numerictypes.py", line 111, in 
    from ._type_aliases import (
  File "/Library/Python/2.7/site-packages/numpy/core/_type_aliases.py", line 63, in 
    _concrete_types = {v.type for k, v in _concrete_typeinfo.items()}
  File "/Library/Python/2.7/site-packages/numpy/core/_type_aliases.py", line 63, in 
    _concrete_types = {v.type for k, v in _concrete_typeinfo.items()}
AttributeError: 'tuple' object has no attribute 'type'
>>> import tensorflow 
Traceback (most recent call last):
  File "", line 1, in 
  File "/Library/Python/2.7/site-packages/tensorflow/__init__.py", line 24, in 
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/Library/Python/2.7/site-packages/tensorflow/python/__init__.py", line 47, in 
    import numpy as np
  File "/Library/Python/2.7/site-packages/numpy/__init__.py", line 140, in 
    from . import _distributor_init
ImportError: cannot import name _distributor_init

网上查找各种解决方法……根本就没有解决方法,唯一搜到的也是他人的求助而无人回答………………

最终不得不尝试运行:

pip install tensorflow==1.10.0

成功将tensorflow更换成以前使用的版本,程序报错也消失了,送了一大口气。

这件事告诉我,

不轻易做没需求的更新!

尝试新事物前请记当前状态为“断点”,以便需要时回溯。

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