I created a conda environment including Spyder and tensorflow in the dependencies and all installs went without errors.
When I activate the environment and launch python, I can import tensorflow and run code without any issues.
However when launching spyder from within the environment (Spyder shows on the bottom of the GUI that is part of that conda environment), and load tensorflow, it throws an error:
ModuleNotFoundError: No module named 'tensorflow_core.estimator'
and from then the Console gets stuck repeating the same error.
Why does spyder have issues importing a module that python in the same environment can import? How can I fix this?
I have tried re-installing spyder in the conda environment but the same issue prevails.
Try to uninstall tensorflow-estimator pip uninstall tensorflow-estimator and uninstall Tensorflow.
#After fresh installing tensorflow
pip install tensorflow
#Install tensorflow_estimator
pip install -U tensorflow_estimator
Try this workaround as well.
Related
I am working on a jupyter notebook script which I used last year to train a neural network.
When I try to import the keras tokenizer:
from keras.preprocessing.text import Tokenizer
I receive this error
I have seen other posts which suggest that I need to update tensorflow. My anaconda environment tells me I have 1.13.1 installed. But when I try to update tensorflow-base to 1.15 in the anaconda navigator, I receive this error:
I can update tensorflow from my command line using:
conda install tensorflow=1.15.0
But this doesn't update tensorflow in my anaconda environment and the error persists in my notebook.
Any help would be much appreciated! As you can probably tell, I am a novice python user.
The error says some packages needed to update Tensorflow/Andaconda requires Python 3.11 or newer. Since not all of the error log can be seen however, I would upgrade to python 3.7 to be safe. You can download this from the official page: https://www.python.org/downloads/
If the problem persists, try using pip to update the packages(In bash) :
pip install tensorflow
pip install conda
If you get an error while using pip, try:
pip3 install tensorflow
pip3 install conda
This same method can be used to update keras:
pip install keras
or if that does not work:
pip3 install keras
If pip is not recognized at a command, Python 3.7 is not added to path. I do not have experience with macOS, but this article should go into enough depth.
https://realpython.com/add-python-to-path/#how-to-add-python-to-path-on-linux-and-macos
I installed tensorflow using conda in wsl, and now I'm using it through Jupyter notebook and it's working fine. I also write codes in vscode and then run it through wsl using python3 filename.py and it works fine too.
the problem is when I try to run the code using the 'running' option of vscode and then I get the error ModuleNotFoundError: No module named 'tensorflow' in terminal.
I checked my environments and I only have 'base' environment so the packages should be installed there and I also tried 'conda ...' in vscode terminal and it didn't recognize conda either.
what can be the problem with my vscode?
also I have to say that numpy and matplotlib packages are running fine using vscode itself but tensorflow and some other modules are not identified
You need to create a new virtual environment in anaconda to install Tensorflow and can access the Visual Studio code from the same virtual environment.
Open anaconda prompt and type below code to create virtual environment
conda create -n tf tensorflow
conda activate tf
install TensorFlow in that "tf" virtual environment
pip install tensorflow
launch VS code by selecting the same "tf" virtual environment in anaconda navigator.
Now, type the below code to check if TensorFlow installed successfully in VS code.
import tensorflow as tf
print(tf.__version__)
Likewise, you can install other required packages in the same virtual environment.
pip install <package-name>
The tensorflow is installed by using "conda install tensorflow". by importing tensorflow with "import tensorflow" in spyder in same environment which tensorflow was installed, it give an error "ModuleNotFoundError: No module named 'tensorflow'".
For every one who is faced with this problem i suggest to check if they have already installed spyder in desired environment with "conda install spyder". I installed it and the problem fixed
I am trying to install "Tensorflow" on windows using conda environment.
Please note that -
I am installing tensorflow along with pytorch in the same environment.
I am getting "Remove Error": 'setuptools' is a dependency of conda and cannot be removed from
conda's operating environment.
I getting this error with both of these commands
pip install tensorflow
conda install tensorflow
A snap of the error can be seen below.
I sorted this issue by fixing the installation of the "httptools".
I recently found that many of the conda supports of have been migrated to conda forge.
HENCE, BEFORE INSTALLING THE TENSORFLOW. I INSTALLED THE "httptool" using the following command in the anaconda prompt.
conda install -c conda-forge httptools
Now everything works really fine.
I have just installed Anaconda 3.7 in Windows 10. Then I have created a new env for
tensorflow and installed it there. It got installed without any problem. Then I
used the command
conda install -c conda-forge keras
to install Keras. While Keras installation was running, Anaconda Prompt crashed suddenly. I restarted it and I tried to activate my tensorflow env; but as soon as I try to activate it, Anaconda Prompt crashes!! Please take a look at my screenshot. How can I fix this? Thank you very much for your support.
Ferari
Anaconda Prompt Crashes
The problem could be due to the version of tensorflow - tensorboard mismatch. When you give the command conda install -c conda-forge keras for installing keras, the tensorflow and tensorboard versions gets changed.
I tried the following steps and it worked fine for me.
conda create -n tf python=3.6
activate tf
conda install keras
Installing keras will automatically install tensorflow.
I just had an issue with the same symptom. Instead of printing the error message, the activation of the conda environment exited the console application.
The scripts that run on activation can be found in ./etc/conda/activate.d inside the environment. The path to the environments can be found using conda env list. Check these scripts for any 'exit' commands, commenting them out if necessary. This should let you at least see the error message.
In my case the issue was caused by packages requiring MSVC compiler, and Visual Studio studio was not installed.
I was also facing the same error and i have resolved it by re creating the conda environment. It is happening due to version mismatch between couple of packages. Just delete the conda environment and re-create the environment but this time do not add tensorflow GPU package instead just add keras-gpu, it will take care everything.
I did the following things:
deleted the same env
created the same environment using
conda create -n myEnv python==3.6
install keras gpu
conda install -c conda-forge keras-gpu
now it will install necessary packages and then you can activate the environment and use it
I encountered the same problem. Solved by creating a new env and using
conda install -c hesi_m keras
This will install the latest versions of Keras and Tensorflow.
Turns out you will most likely get an outdated version of keras if you installed it with conda install -c conda-forge keras.
Same problem here..
I just have installed tensorflow-gpu in tf-gpu environment using
conda install tensorflow-gpu
It has successfully installed and works perfectly. But after installation whenever I am going to use environment by this command
activate tf-gpu
it shows the followingenter image description here output and close the command prompt soon. I am using anaconda for python 3.6.
when you open Anaconda command prompt just press ctrl+c and press Y to avoid the crash for now and then start again with the task of setting the environment for tensorflow...
this worked for me..