>>> import tensorflow_datasets as tfds
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\__init__.py", line 46, in <module>
from tensorflow_datasets.core import tf_compat
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\core\__init__.py", line 28, in <module>
from tensorflow_datasets.core.dataset_info import DatasetInfo
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\core\dataset_info.py", line 53, in <module>
from tensorflow_datasets.core.features import top_level_feature
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\core\features\__init__.py", line 27, in <module>
from tensorflow_datasets.core.features.features_dict import FeaturesDict
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\core\features\features_dict.py", line 28, in <module>
from tensorflow_datasets.core.features import top_level_feature
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\core\features\top_level_feature.py", line 27, in <module>
class TopLevelFeature(feature_lib.FeatureConnector):
File "C:\Users\Utilizador\Miniconda3\envs\venv\lib\site-packages\tensorflow_datasets\core\features\top_level_feature.py", line 45, in TopLevelFeature
@tf.autograph.experimental.do_not_convert()
AttributeError: module 'tensorflow._api.v2.autograph.experimental' has no attribute 'do_not_convert'
Short description
Its not possible to import tensorflow_datasets using Tensorflow 2.0.
This error appears every time:
AttributeError: module 'tensorflow._api.v2.autograph.experimental' has no attribute 'do_not_convert'Environment information
win10andUbunto 183.6.8tensorflow-datasets/tfds-nightlyversion:tensorflow-datasets-1.1.0tensorflow/tensorflow-gpu/tf-nightly/tf-nightly-gpuversion:Tensorflow 2.0.0-alpha0import tensorflow_datasets as tfds