Question

我正在尝试使用Google colab编写/运行代码的Udacity的tensorflow课程。但是我想在本地计算机上运行代码，因此创建了一个新环境来运行代码，但是无法将tensorflow_dataset导入到tensorflow环境中。

我尝试从anaconda导航器中搜索模块以将其安装在tensorflow环境中，但是anaconda导航器不提供tensorflow数据集模块。

在cmd（命令提示符）中，我尝试执行以下命令 1.激活张量流 2. pip install tensorflow_datasets

它说模块已经安装，但是当我尝试从jupyter笔记本中导入它时，我得到一个错误，提示没有模块名为tensorflow_datasets

1。激活张量流 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导入 1.jupyter笔记本 2.将tensorflow_datasets导入为tdfs

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.```

Answer 1

要在anaconda中使用tensorflow数据集，必须使用以下命令

conda install -c anaconda tensorflow-datasets

我尝试使用pip install和其他所有工具，但都无法正常工作。但是上述命令非常有用。

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

Answer 2

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

pip install tensorflow_datasets

然后您可以将其导入为：

import tensorflow_datasets as tfds

Answer 3

如果您有 anaconda 提示，那么由于答案已经建议安装 tensorflow-datasets 应该可以正常工作。您可以找到相关的 Pypi 包 here。此安装也应在命令提示符下运行（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一个通道中共享。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

将 conda-forge 添加为最高优先级通道：

conda config --add channels conda-forge

激活严格优先级（Conda 可选>=5.0）：

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。

Answer 4

如果您正在使用Anaconda，请转到Anaconda Navigator-> Environments->选择您的环境。之后，只需找到您要安装的软件包并单击即可。接受后，它会自动上传。真的很简单。（花了半个小时为我找到了正确的答案，但是在Anaconda中找到它比使用Terminal容易得多。）不要忘记在安装新软件包后重新启动Anaconda。

Answer 5

要使用tensorflow数据集，请打开终端/命令提示符并输入：

pip install tensorflow_datasets

如果您正在使用Anaconda，则需要打开环境，然后在未安装环境时手动将其导入。

无法在Jupyter Notebook中导入tensorflow_datasets模块

5 个答案: