jupyter notebook中No module named 'tensorflow'

桃扇骨 2022-01-09 09:57 358阅读 0赞

当我们在jupyter notebook中运行时可能会遇见没有某个包的情况，如下：

---------------------------------------------------------------------------
    ModuleNotFoundError                       Traceback (most recent call last)
    <ipython-input-1-24005895b065> in <module> 2 import h5py 3 import matplotlib.pyplot as plt ----> 4 import tensorflow as tf 5 from tensorflow.python.framework import ops 6 import tf_utils ModuleNotFoundError: No module named 'tensorflow'

首先我的jupyter notebook是在本地设置的python3的环境deeplearning下运行的：

userdeMacBook-Pro:~ user$ conda activate deeplearning
    (deeplearning) userdeMacBook-Pro:~ user$ jupyter notebook

但是很奇怪的是我python3的环境下已经安装好了tensorflow，但是jupyter中还是显示没有

(deeplearning) userdeMBP:~ user$ python
    Python 3.7.2 (default, Dec 29 2018, 00:00:04) [Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow >>> tensorflow.__version__ '1.13.1' >>>

可见安装了1.13.1版本的tensorflow

解决方法有：

打开你的anaconda navigator，按下图选择，之后apply安装就行:

![1446032-20190327100832211-819473053.png][]

报了个错：

UnsatisfiableError: The following specifications were found to be in conflic
    pytorch
    tensorflow == 1.11.0
    use conda info <package> to check dependencies

使用conda info tensorflow查看依赖后，发现tensorflow <= 1.12.0版本不支持python3.7，而anaconda navigator中提供的tensorflow的最高版本是1.12.0，所以我就将其降到了3.6版本，即在指定的环境deeplearning下运行：

(deeplearning) userdeMBP:~ user$ conda install python=3.6

当然这样可能会导致一些之前安装的包的丢失,因为再import tensorflow时可见之前安装的tensorflow没了：

(deeplearning) userdeMBP:~ user$ python
    Python 3.6.8 |Anaconda, Inc.| (default, Dec 29 2018, 19:04:46) 
    [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import tensorflow
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    ModuleNotFoundError: No module named 'tensorflow'

然后再安装就可以看见安装成功：

![1446032-20190327105216221-740292593.png][]

然后再查看：

可见相应的环境deeplearning中成功安装了tensorflow == 1.12.0版本

⚠️

如果在过程中还是有UnsatisfiableError的错，除了依赖的问题，还可以试试：

userdeMBP:~ user$ conda update conda

更新conda

转载于:https://www.cnblogs.com/wanghui-garcia/p/10606126.html

[1446032-20190327100832211-819473053.png]: /images/20220109/0edcea62550d4e36bacca3bb07102c05.png
[1446032-20190327105216221-740292593.png]: /images/20220109/4b727940b7f24f7e90e1d8b42f374c93.png