Uninstalling Python and then reinstalling solved my issue and I was able to successfully install TensorFlow.

I am giving it for Windows

If you are using python-3

1. Upgrade pip to the latest version using py -m pip install --upgrade pip
2. Install package using py -m pip install <package-name>

If you are using python-2

1. Upgrade pip to the latest version using py -2 -m pip install --upgrade pip
2. Install package using py -2 -m pip install <package-name>

It worked for me

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

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.

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

I installed it successfully by pip install https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl

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.

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

use python version 3.6 or 3.7 but the important thing is you should install the python version of 64-bit.

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

I solved the same problem with python 3.7 by installing one by one all the packages required

Here are the steps:

1. Install the package

2. See the error message:

   couldn’t find a version that satisfies the requirement — the name of the module required

3. 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.

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.

For version TensorFlow 2.2:

1. Make sure you have python 3.8

try:
python --version

or
python3 --version

or
py --version

2. 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

3. Install TensorFlow:

try:
python3 -m pip install TensorFlow

or python -m pip install TensorFlow

or py -m pip install TensorFlow

4. Make sure to run the file with the correct python:

try:
python3 file.py

or python file.py

or py file.py

In case you are using Docker, make sure you have

FROM python:x.y.z

instead of

FROM python:x.y.z-alpine.

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.

2. you must have 64 bit python installed

3. have latest version of pip installed
   pip install –upgrade pip

(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

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

using pip install tensorflow --user did it for me

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

And since links tend to break in the future, here is an archive.

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