I tried to install stellargraph in a Python 3.6.13 venv. It threw the following error:
Then I ran pip install --upgrade pip and re-ran the installation. It worked. I want to understand why upgrading pip was the game changer. The error related to TensorFlow had nothing to do with it.
It is pretty self-explanatory from your console output. stellargraph needs tensorflow>=2.1.0 which isn't not supported by your pip version 18.1.
So when you updated pip to 21.0.1, it could find a successful distribution of tensorflow (>2.1.0) and could therefore install stellargraph in the correct manner.
I installed the latest version of Python (3.6.4 64-bit) and the latest version of PyCharm (2017.3.3 64-bit). Then I installed some modules in PyCharm (Numpy, Pandas, etc), but when I tried installing Tensorflow it didn't install, and I got the error message:
Could not find a version that satisfies the requirement TensorFlow (from versions: )
No matching distribution found for TensorFlow.
Then I tried installing TensorFlow from the command prompt and I got the same error message.
I did however successfully install tflearn.
I also installed Python 2.7, but I got the same error message again. I googled the error and tried some of the things which were suggested to other people, but nothing worked (this included installing Flask).
How can I install Tensorflow? Thanks.
The latest requirements for running TensorFlow are documented in the installation documentation.
TensorFlow only supports 64-bit Python
TensorFlow only supports certain versions of Python (for example, Python 3.6 is not supported)
So, if you're using an out-of-range version of Python (older or newer) or a 32-bit version, then you'll need to use a different version.
I installed it successfully by pip install https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl
There are a few important rules to install Tensorflow:
You have to install Python x64. It doesn't work with x86/32b and it gives the same error as yours.
Python versions later than 3.8 and Python 3.8 requires TensorFlow 2.2 or later. Check for supported Python versions.
For example, for TensorFlow 2.9, you can install Python3.8.6-64bit and it works like a charm. Check the latest information on the website.
if you are using anaconda, python 3.7 is installed by default, so you have to downgrade it to 3.6:
conda install python=3.6
then:
pip install tensorflow
it worked for me in Ubuntu.
I am giving it for Windows
If you are using python-3
Upgrade pip to the latest version using py -m pip install --upgrade pip
Install package using py -m pip install <package-name>
If you are using python-2
Upgrade pip to the latest version using py -2 -m pip install --upgrade pip
Install package using py -2 -m pip install <package-name>
It worked for me
Tensorflow 2.2.0 supports Python3.8
First, make sure to install Python 3.8 64bit. For some reason, the official site defaults to 32bit. Verify this using python -VV (two capital V, not W). Then continue as usual:
python -m pip install --upgrade pip
python -m pip install wheel # not necessary
python -m pip install tensorflow
As usual, make sure you have CUDA 10.1 and CuDNN installed.
Tensorflow isn't available for python 3.8 (as of Dec 4th 2019) according to their documentation page. You will have to downgrade to python 3.7.
I am using python 3.6.8, on ubunu 18.04, for me the solution was to just upgrade pip
pip install --upgrade pip
pip install tensorflow==2.1.0
Uninstalling Python and then reinstalling solved my issue and I was able to successfully install TensorFlow.
Python version is not supported
Uninstall python
https://www.python.org/downloads/release/python-362/
You should check and use the exact version in install page.
https://www.tensorflow.org/install/install_windows
python 3.6.2 or python 3.5.2 solved this issue for me
(as of Jan 1st, 2021)
Any over version 3.9.x there is no support for TensorFlow 2. If you are installing packages via pip with 3.9, you simply get a "package doesn't exist" message. After reverting to the latest 3.8.x. Thought I would drop this here, I will update when 3.9.x is working with Tensorflow 2.x
So here's the message that I got on a M1 Pro while I was executing
python -m pip install tensorflow-macos
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
I then re-installed python from the official source:
https://www.python.org/downloads/macos/
(Yes, as stupid as it seems.)
I then followed the Apple tutorial for Monterey:
https://developer.apple.com/metal/tensorflow-plugin/
Everything was solved by then.
Apple Silicon (M1+ Chip)
If you are using a Mac with an M1 chip or higher, you need to install Tensorflow metal plugin for compatability with your architecture.
Simple installation instructions for Tensor Flow are found on Apple's website: https://developer.apple.com/metal/tensorflow-plugin
Looks like the problem is with Python 3.8. Use Python 3.7 instead. Steps I took to solve this.
Created a python 3.7 environment with conda
List item Installed rasa using pip install rasa within the environment.
Worked for me.
Running this before the tensorflow installation solved it for me:
pip install "pip>=19"
As the tensorflow's system requirements states:
pip 19.0 or later
For version TensorFlow 2.2:
Make sure you have python 3.8
try:
python --version
or
python3 --version
or
py --version
Upgrade the pip of the python which has version 3.8
try:
python3 -m pip install --upgrade pip
or
python -m pip install --upgrade pip
or
py -m pip install --upgrade pip
Install TensorFlow:
try:
python3 -m pip install TensorFlow
or python -m pip install TensorFlow
or py -m pip install TensorFlow
Make sure to run the file with the correct python:
try:
python3 file.py
or python file.py
or py file.py
1.Go to https://www.tensorflow.org/install/pip website and look if the version you are using support the Tensorflow. some latest version does not support Tesnsorflow. until Tensorflow releases its latest version for that Python version.
you must have 64 bit python installed
have latest version of pip installed
pip install --upgrade pip
using pip install tensorflow --user did it for me
I had this problem on my macOS (with M1 Pro) even with the latest 64-bit Python and the latest pip installed. This is how I've solved it. Try to run:
pip install tensorflow-macos
If you will get the error ending like this (like I did)...
...
raise ReadTimeoutError(self._pool, None, "Read timed out.")
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.
...then simply run:
pip install --default-timeout=100 tensorflow-macos
Tensorflow seems to need special versions of tools and libs.
Pip only takes care of python version.
To handle this in a professional way (means it save tremendos time for me and others)
you have to set a special environment for each software like this.
An advanced tool for this is conda.
I installed Tensorflow with this commands:
sudo apt install python3
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 1
sudo apt install python3-pip
sudo apt-get install curl
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh > Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
yes
source ~/.bashrc
installs its own phyton etc
nano .bashrc
maybe insert here your proxies etc.
conda create --name your_name python=3
conda activate your_name
conda install -c conda-forge tensorflow
check everything went well
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
PS: some commands that may be helpful
conda search tensorflow
https://www.tensorflow.org/install/pip
uses virtualenv. Conda is more capable. Miniconda ist sufficient; the full conda
is not necessary
use python version 3.6 or 3.7 but the important thing is you should install the python version of 64-bit.
In case you are using Docker, make sure you have
FROM python:x.y.z
instead of
FROM python:x.y.z-alpine.
This issue also happens with other libraries such as matplotlib(which doesn't support Python > 3.9 for some functions) let's just use COLAB.
Slightly different issue for me but I will still post an answer here. tensorflow package is working, but not tflite-runtime.
pip install --extra-index-url https://google-coral.github.io/py-repo/ tflite-runtime==2.5.0
I solved the same problem with python 3.7 by installing one by one all the packages required
Here are the steps:
Install the package
See the error message:
couldn't find a version that satisfies the requirement -- the name of the module required
Install the module required.
Very often, installation of the required module requires the installation of another module, and another module - a couple of the others and so on.
This way I installed more than 30 packages and it helped. Now I have tensorflow of the latest version in Python 3.7 and didn't have to downgrade the kernel.
I get this error when I try to import Keras into my project.
How to solve ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via pip install tensorflow
I verified the versions I have installed (with pip) for everything and I have:
Python 3.7.7
Tensorflow 2.2.0
keras 2.4.3
I have linked a picture of the full error. There is some stuff about Dll but I'm not sure if this is what creates the error.
Tensorflow requires Python 3.5–3.8 , pip and venv >= 19.0
in order to fix it:
sudo apt install python3-pip
pip3 install --upgrade pip
python3 -m pip install tensorflow
if you already had tensorflow installed substitute the last command this this:
pip3 install --upgrade tensorflow
hope it helped.
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via pip install tensorflow
Fix:
python -m pip install –upgrade pip
pip install keras==2.1.5
This worked for me.
If above step are not solving the error then check your libraries with specific version.
Python==3.6.4
Numpy==1.18.5
Pandas==1.1.4
scikit-learn==0.21.2
Tensorflow==1.13.1
keras==2.1.5
Hope this worked for you.
Please update keras version.
python -m pip install –upgrade pip
I installed latest tensorflow version as:
sudo pip2 install tensorflow
But while import layers as
from tensorflow.contrib import layers
I get an error:
cannot import name bayesflow
What am I missing?
I am using Ubuntu 14.
Was in the similar position as you: tf.contrib.data.TFRecordDataset(filenames) was generating the same error. After a lot of searching and trying I found that I should update dask. So
pip install --upgrade dask
solved the problem for me.
For those who still experience this problem, the best is to upgrade tensorflow with sudo pip install --upgrade tensorflow or even uninstall it sudo pip uninstall tensorflow and reinstall it sudo pip install tensorflow.
When it's done you have to close the ipython or any shell you are using (this is important)
I got this error in python script:
from hmmlearn.hmm import
GaussianHMM I know I need some libraries thats why I ran following
git clone git://github.com/hmmlearn/hmmlearn.git
pip install -U --user hmmlearn
I getting stuck because of this problem. I didn't get any solution, I tried google and many commands but problem still happen.
I solved this by cloning the repository and running:
sudo python setup.py install
It seems like according to the git-hub page of the repo it requires specific versions of some packages. Make sure you do a pip upgrade for all those packages
Python >=2.6
numpy >= 1.9.3
scipy >= 0.16.0
scikit-learn >= 0.16
then try it will work
to upgrade a package do simple
pip install --upgrade <package-name>