错误：root：安装 Tensorflow 时检查模块中的内部 Python 错误答案

【问题标题】：ERROR:root:Internal Python error in the inspect module while installing Tensorflow错误：root：安装 Tensorflow 时检查模块中的内部 Python 错误
【发布时间】：2020-05-25 06:29:39
【问题描述】：

我已经安装了带有 CUDA 10.1、cuDNN SDK = 7.6 的 TensorFlow 2.0 以及所有不同的库，例如 pandas、sci-kit learn、Keras、NumPy、Gensim 等。这个错误可能是由于新的 TensorFlow 版本。当我尝试通过运行此确认代码来确认它时。我收到一个错误。请帮忙。

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")

我遇到的错误：

WARNING:tensorflow:From C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\ops\distributions\distribution.py:265: ReparameterizationType.__init__ (from tensorflow.python.ops.distributions.distribution) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
WARNING:tensorflow:From C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\ops\distributions\bernoulli.py:169: RegisterKL.__init__ (from tensorflow.python.ops.distributions.kullback_leibler) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
ERROR:root:Internal Python error in the inspect module.
Below is the traceback from this internal error.

Traceback (most recent call last):
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-1-0b3eb45acbe5>", line 3, in <module>
    import tensorflow.keras
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 98, in <module>
    from tensorflow_core import *
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\__init__.py", line 40, in <module>
    from tensorflow.python.tools import module_util as _module_util
ModuleNotFoundError: No module named 'tensorflow.python.tools'; 'tensorflow.python' is not a package

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2044, in showtraceback
    stb = value._render_traceback_()
AttributeError: 'ModuleNotFoundError' object has no attribute '_render_traceback_'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\IPython\core\ultratb.py", line 1151, in get_records
    return _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\IPython\core\ultratb.py", line 319, in wrapped
    return f(*args, **kwargs)
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\IPython\core\ultratb.py", line 353, in _fixed_getinnerframes
    records = fix_frame_records_filenames(inspect.getinnerframes(etb, context))
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\inspect.py", line 1502, in getinnerframes
    frameinfo = (tb.tb_frame,) + getframeinfo(tb, context)
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\inspect.py", line 1460, in getframeinfo
    filename = getsourcefile(frame) or getfile(frame)
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\inspect.py", line 696, in getsourcefile
    if getattr(getmodule(object, filename), '__loader__', None) is not None:
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\inspect.py", line 733, in getmodule
    if ismodule(module) and hasattr(module, '__file__'):
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__
    module = self._load()
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 953, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 728, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\__init__.py", line 45, in <module>
    from . _api.v2 import compat
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\__init__.py", line 23, in <module>
    from . import v1
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\__init__.py", line 40, in <module>
    from . import experimental
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\experimental\__init__.py", line 11, in <module>
    from tensorflow.python.ops.control_flow_v2_toggles import output_all_intermediates
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\ops\control_flow_v2_toggles.py", line 24, in <module>
    from tensorflow.python.ops import control_flow_util_v2
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\ops\control_flow_util_v2.py", line 28, in <module>
    from tensorflow.python.keras.engine import base_layer_utils
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\__init__.py", line 27, in <module>
    from tensorflow.python.keras import applications
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\applications\__init__.py", line 25, in <module>
    from tensorflow.python.keras import engine
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\engine\__init__.py", line 23, in <module>
    from tensorflow.python.keras.engine.base_layer import Layer
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py", line 56, in <module>
    from tensorflow.python.keras.saving.saved_model import layer_serialization
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\saving\__init__.py", line 20, in <module>
    from tensorflow.python.keras.saving.hdf5_format import load_attributes_from_hdf5_group
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\saving\hdf5_format.py", line 32, in <module>
    from tensorflow.python.keras.utils import conv_utils
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\utils\__init__.py", line 38, in <module>
    from tensorflow.python.keras.utils.multi_gpu_utils import multi_gpu_model
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\utils\multi_gpu_utils.py", line 22, in <module>
    from tensorflow.python.keras.engine.training import Model
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 42, in <module>
    from tensorflow.python.keras import metrics as metrics_module
  File "C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\metrics.py", line 34, in <module>
    from tensorflow.python.keras.engine.base_layer import Layer
ImportError: cannot import name 'Layer' from 'tensorflow.python.keras.engine.base_layer' (C:\Users\Abdul\.conda\envs\tensorflow\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py)
---------------------------------------------------------------------------

【问题讨论】：

你能说明你是如何安装这些库的吗？
使用 pip 安装库名称。我已经安装了 sklearn、pandas、pandas-datareader、matplotlib、spacy、gensim、spacy
你没有使用 Conda 吗？
不，我使用 pip 安装不同的库
我的意思是你不是在虚拟环境中使用 Conda 吗？

标签： python tensorflow installation anaconda

【解决方案1】：

我在 Windows 10 虚拟机上遇到了同样的错误。由于您使用的是 Anaconda，请尝试：

pip uninstall tensorflow

那就试试conda install tensorflow

然后尝试通过以下方式导入您的 Keras 包：from tensorflow.keras.xxx import xxx

如上面的 cmets 所述，可能值得尝试在 conda 中设置一个虚拟环境，并在那里安装所需的包。

【讨论】：

【解决方案2】：

在 Anaconda 中，您看不到 pip 卸载提示您“是否要继续 (Y/N)？因此您应该添加 --yes: pip uninstall tensorflow --yes

【讨论】：

【解决方案3】：

我通过下载和安装解决了这个问题 “适用于 Visual Studio 2015、2017 和 2019 的 Microsoft Visual C++ Redistributable”。它对我有用。

先决条件：Python + Jupyter notebook + tensorflow 安装已经完成

“导入 tensorflow”时出现此错误

按照以下步骤操作：

第 1 步：下载“Microsoft Visual C++ Redistributable for Visual Studio 2015、2017 和 2019 - 社区版”

第 2 步：在安装 Microsoft Visual C++ Redistributable for Visual Studio 2015、2017 和 2019 时选择“Python 工作负载”

第 3 步：重新启动计算机一次

第4步：就是这样，现在打开Jupyter notebook和“import tensorflow”就不会出现错误了

【讨论】：

【解决方案4】：

如果您在 Google colab 上收到此错误，请将运行时重置为出厂设置。点击运行时，然后恢复出厂设置运行时

【讨论】：

同样适用于任何 jupyter 内核。金 - 谢谢！

【解决方案5】：

如果发生在Google Colab:
在顶部菜单中点击Runtime > Restart Runtime

【讨论】：