如何在 Google Colab 上安装之前版本的 Tensorflow？答案

【问题标题】：How do I install a previous version of Tensorflow on Google Colab?如何在 Google Colab 上安装之前版本的 Tensorflow？
【发布时间】：2020-02-23 01:29:13
【问题描述】：

我使用!pip uninstall tensorflow -y 和!pip uninstall tensorflow-gpu -y 卸载了Google Colab 上预装的Tensorflow 版本。然后我安装了我想要的版本!pip install tensorflow-gpu==1.4.1，它似乎可以工作并输出Successfully installed tensorflow-gpu-1.4.1。但是，当我运行 !pip show tensorflow 时，我得到 WARNING: Package(s) not found: tensorflow.

我已经尝试在安装 Tensorflow 后重新启动运行时，但没有成功。我也在运行 GPU 运行时。

另外，当我跑步时：

import tensorflow as tf print(tf.__version__)

我收到以下错误：

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
     57 
---> 58   from tensorflow.python.pywrap_tensorflow_internal import *
     59   from tensorflow.python.pywrap_tensorflow_internal import __version__

10 frames
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
     70 for some common reasons and solutions.  Include the entire stack trace
     71 above this error message when asking for help.""" % traceback.format_exc()
---> 72   raise ImportError(msg)
     73 
     74 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------

如何解决这个问题以正确安装 Tensorflow 1.4.1？我已经尝试在安装 Tensorflow 后重新启动运行时，但这没有用。我也在运行 GPU 运行时。

【问题讨论】：

标签： python tensorflow machine-learning computer-vision google-colaboratory

【解决方案1】：

尝试使用以下命令重新安装 tensorflow

!pip uninstall tensorflow -y
!pip install  tensorflow==1.14

然后在 colab 中询问时重新启动运行时。您应该能够导入正确版本的 TensorFlow。

%tensorflow_version 1.x
import tensorflow as tf
print(tf.__version__)

1.14.0

【讨论】：