I am new to tensorflow and tried to install into Anaconda. I followed the instruction to the dot from tensorflow.org. I encountered no problem encountered but in python shell when i perform import tensorflow as tf, I got this error message, "ModuleNotFoundError: No module named 'tensorflow'".
Please advise what to do to install tensorflow.
I already followed the previous post on conda create -n tensorflow python=3.6 but to no avail.
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'm following the instructions from https://www.tensorflow.org/install/pip#python-version-support to install tensorflow. I've used tensorflow before but for some reason, it has just stopped working. I'm using VS Code.
First, I check that pip and python are compatible:
python3 --version
python3 -m pip --version
I have Python 3.10.8, with pip 22.3.1 so it should be compatible. Then, I create a conda environment and activate it:
conda create --name tf python=3.9
conda activate tf
However, now when I try
pip install tensorflow
I get the error
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
How can I fix this? I also tried things in the past like installing tensorflow through Conda, but I get errors when importing tensorflow there.
Could you please try again by opening anaconda cmd propmt and run below code:
conda create --name tf_new python=3.10
conda activate tf_new
then install tensorflow using:
pip install tensorflow
Now open the VS code by selecting the same created VirEnv tf_new from Anaconda navigator.
In VScode, Open a new jupyter notebook file and run the below code by selecting the tf_new (Conda VirEnv) in kernel(from top right) .
import tensorflow as tf
tf.__version__
Output:
'2.11.0'
screenshot of the error I'm getting:
Create a New Virtual Environment in Anaconda and Try installing the Latest Version of Tensorflow.
Steps are mentioned below:
conda create -n TF_Latest python=3.8 anaconda
conda activate TF_Latest
pip install tensorflow
Also, please find Anaconda Documentation for Installing Tensorflow, for more information.
while importing tenserflow module in anaconda notebook I'm facing this error numpy.core.multiarray failed to import
Welcome to StackOverflow.
Please consider reviewing "How do i ask a good question" guidelines to provide more context.
With your question, it is likely you have an older version of numpy installed in Anaconda through pip. Try using anaconda environments and install tensorflow directly via this guide.
The commands you should run are to install the current release of CPU-only TensorFlow, recommended for beginners are:
conda create -n tf tensorflow
conda activate tf
Jupyter Notebook kernel dies when importing tensorflow 1.5.0
I have read a lot of posts relating to this but they have all had higher version numbers of tensorflow and have solved it by downgrading to 1.5.0. I also had higher version number and followed the advice to downgrade but I still have the problem.
Does anyone know what to try next?
pip install h5py==2.8.0
worked for me
When trying using the command prompt I got an error message not related to the tensorflow issue (I think);
"Warning! HDF5 library version mismatched error"
The key information from that message body was "Headers are 1.10.1, library is 1.10.2" so I downgraded hdf5 library by "conda install -c anaconda hdf5=1.10.1" and now the error message is gone and the kernel does not die when importing tensorflow.
I got similar problems, any tensorflow or tensorflow related packages (e.g. keras) made my kernel to die when loading, from any interface (jupyter, spyder, console....)
For those having this kind of problems, try running python from the console with verbose mode (python -v) then import tensorflow and look for errors.
I spot errors related to h5py, similar to the reply of #DBSE. I just upgraded the h5py package then everything was solved !
If you are using a conda environment, then the easiest method for fixing this issue is to just create a new environment and install tensorflow with just a single command. I had the same issue, I have tried a lot on most of the version of python and tensorflow. But at the last I have successfully configured it with just a single steps.
Run this command for installing GPU version
conda create --name tf_gpu tensorflow-gpu
The above line of code will automatically install that version of python and tf which is comaptible with your GPU or CPU.
For CPU, Run this command
conda create --name tf_env tensorflow
Both of these command work 100 % with my system for GPU and CPU access and will download the latest version which are compatible with system. It will resolved/fixed "Illegal Instruction (code dumps)" error.
pip install h5py==3.1.0
This is the most updated version which worked for me.
Try using import numpy before Keras and Tensorflow.