Question

通过本指南安装tensorflow之后-https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_01_1_overview.ipynb- 我收到一个我不明白的错误。我可以进入，然后激活tf并得到提示。

安装后，我运行以下代码来验证安装：

import sys

    import tensorflow.keras
    import pandas as pd
    import sklearn as sk
    import tensorflow as tf

    print(f"Tensor Flow Version: {tf.__version__}")
    print(f"Keras Version: {tensorflow.keras.__version__}")
    print()
    print(f"Python {sys.version}")
    print(f"Pandas {pd.__version__}")
    print(f"Scikit-Learn {sk.__version__}")
    print("GPU is", "available" if tf.test.is_gpu_available() else "NOT AVAILABLE")

这是我得到的错误：

 ImportError                               Traceback (most recent call last)
        ~\Anaconda3\lib\site-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__

        ~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in <module>
             27             return _mod
        ---> 28     _pywrap_tensorflow_internal = swig_import_helper()
             29     del swig_import_helper

        ~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in swig_import_helper()
             23             try:
        ---> 24                 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
             25             finally:

        ~\Anaconda3\lib\imp.py in load_module(name, file, filename, details)
            241         else:
        --> 242             return load_dynamic(name, filename, file)
            243     elif type_ == PKG_DIRECTORY:

        ~\Anaconda3\lib\imp.py in load_dynamic(name, path, file)
            341             name=name, loader=loader, origin=path)
        --> 342         return _load(spec)
            343 

        ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed.

        During handling of the above exception, another exception occurred:

        ImportError                               Traceback (most recent call last)
        <ipython-input-2-0b3eb45acbe5> in <module>
              1 import sys
              2 
        ----> 3 import tensorflow.keras
              4 import pandas as pd
              5 import sklearn as sk

        ~\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
             38 import sys as _sys
             39 
        ---> 40 from tensorflow.python.tools import module_util as _module_util
             41 
             42 from tensorflow._api.v2 import audio

        ~\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
             47 import numpy as np
             48 
        ---> 49 from tensorflow.python import pywrap_tensorflow
             50 
             51 # Protocol buffers

        ~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
             72 for some common reasons and solutions.  Include the entire stack trace
             73 above this error message when asking for help.""" % traceback.format_exc()
        ---> 74   raise ImportError(msg)
             75 
             76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

        ImportError: Traceback (most recent call last):
          File "C:\Users\madew\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
            from tensorflow.python.pywrap_tensorflow_internal import *
          File "C:\Users\madew\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
            _pywrap_tensorflow_internal = swig_import_helper()
          File "C:\Users\madew\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
            _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
          File "C:\Users\madew\Anaconda3\lib\imp.py", line 242, in load_module
            return load_dynamic(name, filename, file)
          File "C:\Users\madew\Anaconda3\lib\imp.py", line 342, in load_dynamic
            return _load(spec)
        ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed.


        Failed to load the native TensorFlow runtime.

    See https://www.tensorflow.org/install/errors

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

这些是我安装的软件包：

pip install --exists-action i --upgrade sklearn
pip install --exists-action i --upgrade pandas
pip install --exists-action i --upgrade pandas-datareader
pip install --exists-action i --upgrade matplotlib
pip install --exists-action i --upgrade pillow
pip install --exists-action i --upgrade tqdm
pip install --exists-action i --upgrade requests
pip install --exists-action i --upgrade h5py
pip install --exists-action i --upgrade pyyaml
pip install --exists-action i --upgrade tensorflow_hub
pip install --exists-action i --upgrade bayesian-optimization
pip install --exists-action i --upgrade spacy
pip install --exists-action i --upgrade gensim
pip install --exists-action i --upgrade flask
pip install --exists-action i --upgrade boto3
pip install --exists-action i --upgrade gym
pip install --exists-action i --upgrade tensorflow==2.0.0-beta1
pip install --exists-action i --upgrade keras-rl2 --user

作为菜鸟，我尝试过搜索该错误，但是遇到的每个安装错误都与我的不一样。

安装是通过Juypter在3.6内核上进行的。所有软件包均已正确安装，但由于某种原因，验证安装会产生错误。

编辑：对不起，我忘了包含代码！

Answer 1

在笔记本电脑上安装tf太让人头疼了。

解决方案： AWS EC2 Ubuntu 18.04（免费），安装了Tensorflow，并在本地使用VS Code进行远程开发。

我学到了很多在Linux上设置tf的方法。

Answer 2

我当前的安装一团糟。我安装了两个ide，然后安装了python。路径被弄乱了，进行故障排除是一种痛苦。

我从全新的OS安装开始，并以正确的方式进行操作。

Answer 3

安装tensorflow可能会很麻烦，尤其是在需要GPU支持的情况下。幸运的是，它最近变得越来越容易，并且比该指南看起来更容易。

这一行应该安装tensorflow-gpu，keras以及正确的cuda和cudnn工具包的正确版本：

conda install -c anaconda keras-gpu

如果您还没有的话，我会试一试，因为它只需要几分钟的时间。

验证tensorflow正确安装时出错

3 个答案: