无法在jupyter notebook中导入tensorflow_datasets模块

ki1q1bka  于 8个月前  发布在  其他
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x1c 0d1x我正在尝试Udacity的tensorflow课程,它使用google colab来编写/运行代码。但是我想在我的本地机器上运行代码,因此创建了一个新的环境来运行代码,但是我无法将tensorflow_dataset导入到tensorflow环境中。
我试着从anaconda navigator中搜索模块,将其安装到tensorflow环境中,但anaconda navigator不提供tensorflow datasets模块。
在cmd(命令提示符)中,我尝试执行以下命令1. activate tensorflow 2. pip install tensorflow_datasets
它说模块已安装,但当我试图从jupyter notebook导入它时,我得到错误,没有名为tensorflow_datasets的模块
1.激活tensorflow 2. pip install tensorflow_datasets

import tensorflow_datasets as tfds


---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-5-46a8a2031c9c> in <module>()
----> 1 import tensorflow_datasets as tfds

ImportError: No module named 'tensorflow_datasets'

如果我试图从tensorflow env 1.jupyter notebook 2.import tensorflow_datasets as tdfs导入,

ImportError                               Traceback (most recent call last)
~\Miniconda2\envs\tensorflow\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__

~\Miniconda2\envs\tensorflow\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

~\Miniconda2\envs\tensorflow\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:

~\Miniconda2\envs\tensorflow\lib\imp.py in load_module(name, file, filename, details)
    242         else:
--> 243             return load_dynamic(name, filename, file)
    244     elif type_ == PKG_DIRECTORY:

~\Miniconda2\envs\tensorflow\lib\imp.py in load_dynamic(name, path, file)
    342             name=name, loader=loader, origin=path)
--> 343         return _load(spec)
    344 

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-1-46a8a2031c9c> in <module>()
----> 1 import tensorflow_datasets as tfds

~\Miniconda2\envs\tensorflow\lib\site-packages\tensorflow_datasets\__init__.py in <module>()
     44 # needs to happen before anything else, since the imports below will try to
     45 # import tensorflow, too.
---> 46 from tensorflow_datasets.core import tf_compat
     47 tf_compat.ensure_tf_install()
     48 

~\Miniconda2\envs\tensorflow\lib\site-packages\tensorflow_datasets\core\__init__.py in <module>()
     16 """API to define datasets."""
     17 
---> 18 from tensorflow_datasets.core.dataset_builder import BeamBasedBuilder
     19 from tensorflow_datasets.core.dataset_builder import BuilderConfig
     20 from tensorflow_datasets.core.dataset_builder import DatasetBuilder

~\Miniconda2\envs\tensorflow\lib\site-packages\tensorflow_datasets\core\dataset_builder.py in <module>()
     27 from absl import logging
     28 import six
---> 29 import tensorflow as tf
     30 
     31 from tensorflow_datasets.core import api_utils

~\Miniconda2\envs\tensorflow\lib\site-packages\tensorflow\__init__.py in <module>()
     26 
     27 # pylint: disable=g-bad-import-order
---> 28 from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
     29 from tensorflow.python.tools import module_util as _module_util
     30 

~\Miniconda2\envs\tensorflow\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

~\Miniconda2\envs\tensorflow\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\HOME\Miniconda2\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\HOME\Miniconda2\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\HOME\Miniconda2\envs\tensorflow\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\HOME\Miniconda2\envs\tensorflow\lib\imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\HOME\Miniconda2\envs\tensorflow\lib\imp.py", line 343, 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.```
iugsix8n

iugsix8n1#

tensorflow_datasets是一个单独的模块。您可以使用pip安装:

pip install tensorflow_datasets

然后,您可以将其导入为:

import tensorflow_datasets as tfds
1mrurvl1

1mrurvl12#

要在anaconda中使用tensorflow-datasets,必须使用以下命令

conda install -c anaconda tensorflow-datasets

我尝试使用pip install和所有,但它不能正常工作。但上述命令工作起来像一个魅力。
使用pip install只会在系统python安装中安装tensorflow-datasets,不能在anaconda环境中使用

23c0lvtd

23c0lvtd3#

要使用tensorflow数据集,请打开终端/命令提示符并输入:

pip install tensorflow_datasets

如果你使用Anaconda,你需要打开你的环境,然后手动导入它,因为它没有安装。

gpnt7bae

gpnt7bae4#

如果你有anaconda提示符,那么答案已经建议安装tensorflow-datasets应该没有问题。您可以找到相关的Pypi软件包here。这个安装也应该在命令提示符下工作(安装了pip /python)。

pip install tensorflow-datasets

如果您直接通过conda安装,最好设置conda-forge,因为所有软件包都在单个通道中共享。重要的是,AMD,Linux和MacOS的相应版本也是最新的。安装步骤如下:

  • 确保conda版本>=4.9:
conda --version
conda update conda
  • 添加conda-forge作为最高优先级通道:
conda config --add channels conda-forge
  • 激活严格优先级(Conda>=5.0时可选):
conda config --set channel_priority strict
  • 从conda-forge安装tensorflow-datasets包:
conda install tensorflow-datasets==4.3.0

4.3.0是Pypi的最新版本。

oewdyzsn

oewdyzsn5#

如果您使用Anaconda,请转到Anaconda Navigator ->环境->选择您的环境。之后,只需找到您想要安装的软件包并单击它。接受后,它会自动上传。这真的很简单。(我花了半个小时才找到正确的答案,但在Anaconda中找到后,它比使用终端更容易)安装新软件包后,不要忘记重新启动Anaconda。

ie3xauqp

ie3xauqp6#

如果有人在输入“No modules named resources”之后仍出现错误,请在导入tensorflow_datasets之前使用以下代码:“pip install --upgrade tfds-nightly”

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