Not able to import tensorflow_datasets module in jupyter notebook

Question

I am trying tensorflow course from Udacity which uses google colab to write/run the code. But I want to run the code on my local machine and hence have created a new environment to run the code , but am unable to import tensorflow_dataset into the tensorflow environment .

I have tried searching for the module from the anaconda navigator to install it in tensorflow environment but anaconda navigator does not provide the tensorflow datasets module.

From cmd (command prompt) I tried to execute the below commands 1.activate tensorflow 2. pip install tensorflow_datasets

It says the module is installed but when I tried to import it from jupyter notebook I get error that there is no module with name tensorflow_datasets

1.activate 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'

And if I am trying to import from tensorflow env 1.jupyter notebook 2.import tensorflow_datasets as 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

tensorflow_datasets is a separate module. You can install it using pip :

pip install tensorflow_datasets

Then you can import it as:

import tensorflow_datasets as tfds

Answer 2

to use tensorflow-datasets in anaconda you have to use the below command

conda install -c anaconda tensorflow-datasets

i tried using pip install and all but it was not working fine.but the above command worked like a charm.

using pip install will only install tensorflow-datasets in system python installation, which cant be used inside anaconda environment

Answer 3

To use tensorflow datasets, open the terminal/command prompt and enter :

pip install tensorflow_datasets

And if you are using Anaconda, you need to open up your environment and then manually import it as it doesn't gets installed.

Answer 4

If you are having anaconda prompt, then as the answers already suggest installing tensorflow-datasets should work without issues. You can find the related Pypi package here. This installation should work in command prompt (with pip /python installed) as well.

pip install tensorflow-datasets

If you are directly installing via conda, it is best to set up conda-forge as all the packages are shared in a single channel.Importantly the corresponding builds for AMD,Linux and MacOS are also up-to-date. For installing , here are the steps:

• Making sure conda version is >=4.9:

conda --version
conda update conda

• Adding conda-forge as the highest priority channel:

conda config --add channels conda-forge

• Activate Strict priority (optional for Conda>=5.0):

conda config --set channel_priority strict

• Install the tensorflow-datasets package from conda-forge:

conda install tensorflow-datasets==4.3.0

4.3.0 is the latest version as per Pypi.