I'm running the official TF docker repo using the Jupyter UI on localhost. It seems that TF is working in general, as I am able to import it, but when trying to import the distributions module I get an error:
print tf.__version__
import tf.distributions as dist
1.8.0
ImportErrorTraceback (most recent call last)
<ipython-input-3-4d440943cb46> in <module>()
1 print tf.__version__
----> 2 import tf.distributions as dist
ImportError: No module named tf.distributions
Try this
import tensorflow as tf
from tensorflow import distributions as dist
I don't think you can use import aliases for other import statements in python. I'm not too sure about this, but I think that's the problem.
FYI, I tested this on Python 3.5.2 and Tensorflow 1.8.0
Related
I can't access tensorflow or pytorch from Jupyter notebook or lab. My OS is macOS big sur . I installed python#3.8 using homebrew. If I try to run this:
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
print(tf.__version__)
simple code on Jupyter notebook , it is showing this output:
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-1-3c075791d0d7> in <module>
1 # TensorFlow and tf.keras
----> 2 import tensorflow as tf
3
4 # Helper libraries
5 import numpy as np
ModuleNotFoundError: No module named 'tensorflow'
I created separate virtual environment and install tensorflow on it. But I installed jupyter notebook & lab outside virtual environment. Is there anyway to access tensorflow & pytorch from jupyter notebook or lab without using Anaconda?
Below the code
import numpy as np
np.random.seed(0)
from sklearn import datasets
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format ='retina'
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD
below the Error message
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
2 try:
----> 3 from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
4 except ImportError:
ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental.preprocessing'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-5-943507dd87a6> in <module>
6 get_ipython().run_line_magic('config', "InlineBackend.figure_format ='retina'")
7
----> 8 from keras.models import Sequential
9 from keras.layers import Dense
10 from keras.optimizers import SGD
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow
Note:` I think, the main problem is Tensorflow version. I used somes command and that's are bellow,
conda create -n tf tensorflow
conda activate tf
and I also used the below command
conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu
But it don't works , Please help for solve the error.
you need to update the version of your TensorFlow. For me, 2.2.0 solved the problem. I also checked with the higher versions and worked ok.
pip install tensorflow==2.2.0
or
pip install tensorflow-gpu==2.2.0
You need update TensorFlow. You can try with
pip install tensorflow==2.0.0
or, if you use gpu version
pip install tensorflow-gpu==2.0.0
If doesn't solve your issue, you can also try with 2.2.0 version.
For more details, in this issue follow this answer
I'm working with tensorflow==2.2.0rc1 and tflearn==0.3.2 and I keep getting the same error when importing:
ModuleNotFoundError: No module named 'tensorflow.contrib'
Although I import the packages:
import tflearn
import tensorflow
From TFLearn's documentation and your error, it's probably only compatible with Tensorflow < 2, so reinstall tensorflow of version 1.x.
tensorflow.contrib was deprecated in Tensorflow 2.
Google Colab seems throwing the below error while trying to import Tensorflow, while it was working okey couple of weeks ago
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
/usr/local/lib/python3.6/dist-packages/keras/__init__.py in <module>()
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow`
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
NOTE : am running on TPU and alreadt tried !pip install tensorflow but reuirements are satisfaied
This should suffice i feel
%tensorflow_version 2.x
import tensorflow as tf
This has always worked for me in Google Colab. I think the issue is that you are giving %tensorflow_version as 1.x please try changing that to 2.x
I had to re-order my imports like below and used keras version 2.3.0
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
!pip install keras-bert
!pip install keras-rectified-adam
!pip install keras==2.3.0
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
I would like to add model analysis to my model but was unable to import the libraries:
I am using datalab environment.
import tensorflow as tf
!pip install tensorflow_model_analysis
import tensorflow_model_analysis as tfma
The error is:
ImportErrorTraceback (most recent call last)
<ipython-input-6-f85e4d8fbd99> in <module>()
----> 1 import tensorflow_model_analysis as tfma
/usr/local/envs/py2env/lib/python2.7/site-packages/tensorflow_model_analysis/__init__.py in <module>()
15
16
---> 17 from tensorflow_model_analysis import view
18 from tensorflow_model_analysis.api import tfma_unit as test
19 from tensorflow_model_analysis.api.model_eval_lib import * # pylint: disable=wildcard-import
ImportError: cannot import name view
Please advice what will be the right way to import the library.
Thanks,
eilalan
Working for me now with the following installation:
python 2.7 - to support apache beam
pip install pip==9.0.3 # I am not sure what is the reason, but essential for apache beam pipelines execution
pip install --upgrade tensorflow
pip install tensorflow-model-analysis
import tensorflow_model_analysis as tfma