I've been trying to install the gym library via pip install gym
I get the following error
WARNING: Discarding https://files.pythonhosted.org/packages/87/86/3f5467531428b6ce6f3c12d3121b4304d2ea1536a50775a4df036add37b8/gym-0.23.1.tar.gz#sha256=d0f9b9da34edbdace421c9442fc9205d03b8d15d0fb451053c766cde706d40e0 (from https://pypi.org/simple/gym/) (requires-python:>=3.7). Requested gym==0.23.1 from https://files.pythonhosted.org/packages/87/86/3f5467531428b6ce6f3c12d3121b4304d2ea1536a50775a4df036add37b8/gym-0.23.1.tar.gz#sha256=d0f9b9da34edbdace421c9442fc9205d03b8d15d0fb451053c766cde706d40e0 has inconsistent version: filename has '0.23.1', but metadata has '0.23.1'
ERROR: Could not find a version that satisfies the requirement gym==0.23.1
ERROR: No matching distribution found for gym==0.23.1
pip then defaults to trying to install previous versions 0.23.0, 0.22.0 and so on.
I get the following warning for all versions and none installs.
request gym from <link> has inconsistent version: filename has '0.9.0', but metadata has '0.9.0'
After some Googling for similar errors, I tried updating pip python3 -m pip install --upgrade pip setuptools wheel
but I get the same problem with version mismatch, and it tries to install old versions of pip and fails.
I'm on Python 3.10.4 and pip 21.0 under Arch Linux.
edit: The same problem happens to any package I try to install with pip.
I found a solution here.
The problem seems to be caused by the python-pip package under Arch Linux.
One possible way to fix it:
sudo pacman -Rncs python-pip
python -m ensurepip
If you cannot figure out pip use git
git clone https://github.com/openai/gym
cd gym
pip install -e .
Try to install with an upgrade option to install the latest without cache since looks that the latest version is stable:
pip install gym -U --no-cache-dir
-U, --upgrade Upgrade all packages to the newest available version
--no-cache-dir Disable the cache
If this won't help you can try to install using legacy version resolver (as per https://github.com/pypa/pip/issues/9203):
pip install gym -U --no-cache-dir --use-deprecated=legacy-resolver
When trying to install PyTorch, by entering the command:
pip3 install torch==1.10.2+cu113 torchvision==0.11.3+cu113 torchaudio===0.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
I get the following Error
Error - "The Package index page used does not have a proper HTML doctype declaration."
it also says to contact the owner of the package index, to get this fixed. https://github.com/pypa/pip/issues/10825
Any solutions for this? I want to install PyTorch
EDIT: I downloaded the latest version of pip, pip 22.0.3
Seems like it's an ongoing issue with pip==22.0.{0,1,2,3} (confirm your pip version using pip3 --version or pip --version). They started a migration process to remove an HTML parser 1, but it seems like PyTorch didn't notice and now they're trying to solve it (this is the GitHub issue where they're tracking the progress on this matter).
At the moment, it seems like you have these options:
Try to use the pip install command by adding this flag: --use-deprecated=html5lib. For example:
pip3 install --use-deprecated=html5lib torch==1.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
Downgrade pip to a "non-22.0.*" version. It seems like the recommended way is to use a version that comes with your Python version 2:
python -m pip uninstall pip && python -m ensurepip
Then, use the pip install ... command normally.
Install PyTorch using a different technique.
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.
This is my first time trying to install a repo not in PyPI. I'm not sure if I'm having a general issue or a specific issue with the package.
Repo:
https://github.com/jeslago/epftoolbox
Instructions are:
git clone https://github.com/jeslago/epftoolbox.git
cd epftoolbox
Then, simply install the library using pip:
pip install .
I've tried several approaches.
I tried adding the repo in Pycharm, as "https://github.com/jeslago/epftoolbox.git/" in the settings.
I tried using pip install from a local version of the repo
python -m pip install C:\Users\user\epftoolbox\
I tried installing in anaconda
git clone https://github.com/jeslago/epftoolbox.git
cd epftoolbox
pip install .
I get this error
Successfully built epftoolbox termcolor
ERROR: tensorflow 2.3.0 has requirement scipy==1.4.1, but you'll have scipy 1.5.2 which is incompatible.
But it finishes with "Successfully installed epftoolbox-1.0"
The issue is that I can do "import epftoolbox"
Fine. But if I try and run a script with "from epftoolbox.data import read_data"
I get the error
ModuleNotFoundError: No module named 'epftoolbox.data'
So I take it that the package didn't actually install?
I'm not sure what to try next?
I've python 3.8.5 installed 64 bit.
I've get the same issue in pycharm and idle.
Probably you need to install specific version of scipy to work with this library, try to uninstall current version and then install the correct version with this commands:
python -m uninstall scipy
python -m install -Iv scipy==1.4.1
I am trying to install the "sparse_dot_topn" package in Alibaba Cloud ECS instance. Firstly I tried to install it through the Anaconda installer.
conda install sparse_dot_topn
It throws like there is no package available
So I tried to install via pip
Pip install spare_dot_topn
But it throws me the following error
What am I missing? Please leave your suggestions
sparse_dot_topn requires Cython, try installing it this way:
pip install cython
pip install git+https://github.com/ing-bank/sparse_dot_topn.git
I have tried it first with pip install and failed. Then I tried within Anaconda terminal with the following comment and it was succesfull.
conda install -c conda-forge sparse_dot_topn