首页
学习
活动
专区
圈层
工具
发布
首页
学习
活动
专区
圈层
工具
MCP广场
社区首页 >问答首页 >错误:root:安装Tensorflow时检查模块中的内部Python错误

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

Stack Overflow用户
提问于 2020-02-09 22:23:20
回答 5查看 23.9K关注 0票数 6

我已经安装了TensorFlow 2.0与CUDA10.1,cuDNN SDK = 7.6和所有不同的库,如熊猫,sci学习,Keras,NumPy,Gensim等。这个错误可能是由于新的TensorFlow版本。当我试图通过运行这个确认代码来确认它时。我搞错了。帮帮忙吧。

代码语言:javascript
运行
复制
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")

我得到的错误:

代码语言:javascript
运行
复制
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)
---------------------------------------------------------------------------

​
EN

回答 5

Stack Overflow用户

发布于 2021-01-12 19:54:05

如果在Google上得到此错误,那么工厂重置运行时。单击Runtime,然后工厂重置运行时

票数 9
EN

Stack Overflow用户

发布于 2022-01-04 13:07:52

如果发生在Google Colab

在顶部菜单中单击Runtime > Restart Runtime

票数 3
EN

Stack Overflow用户

发布于 2020-05-05 02:30:42

我通过下载和安装"Microsoft 2015、2017和2019的C++可再发行版“解决了这个问题。对我起作用了。

先决条件: Python +木星笔记本+ tensorflow安装已经完成

当您“导入tensorflow”时会得到此错误

遵循以下步骤:

步骤1:下载"Microsoft 2015、2017和2019 -社区版可再发行版“

步骤2:在安装Microsoft 2015、2017和2019的C++可再发行版时选择"Python“

步骤3:重新启动计算机一次

步骤4:现在打开木星笔记本和“进口tensorflow”,错误就不会发生了

票数 2
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/60141916

复制
相关文章

相似问题

领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档