[installation] Tensorflow installation error: not a supported wheel on this platform

when I try to install tensorflow by cloning from git, I run into the error "no module named copyreg," so I tried installing using a virtualenv. However, I then run into this error:

pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl

tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.

I don't see this under the common problems section, so any help would be appreciated! Thank you.

I was trying to install CPU TF on Ubuntu 18.04, and the best way (for me...) I found for it was using it on top of Conda, for that:

1. To create Conda ‘tensorflow’ env. Follow https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/

2. After all installed see https://conda.io/projects/conda/en/latest/user-guide/getting-started.html And use it according to https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#managing-environments

3. conda create --name tensorflow

4. source activate tensorflow

5. pip install --upgrade pip

6. pip uninstall tensorflow

7. For CPU: pip install tensorflow-cpu, for GPU: pip install tensorflow

8. pip install --ignore-installed --upgrade tensorflow

9. Test TF E.g. on 'Where' with:

python

import tensorflow as tf

tf.where([[True, False], [False, True]])

expected result:

<tf.Tensor: shape=(2, 2), dtype=int64, numpy=
array([[0, 0],
       [1, 1]])>

• After Conda upgrade I got: DeprecationWarning: 'source deactivate' is deprecated. Use 'conda deactivate'.

So you should use:

‘conda activate tensorflow’ / ‘conda deactivate’

This may mean that you are installing the wrong pre-build binary

since my CPU on Ubuntu 18.04 my download url was: https://github.com/lakshayg/tensorflow-build/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl

as it can be found on this github page: https://github.com/lakshayg/tensorflow-build

pip install --ignore-installed --upgrade <LOCAL PATH / BINARY-URL>

resolved the issue for me.

It means that the version of your default python (python -V) and the version of your default pip (pip -V) do not match. You have built tensorflow with your default python and trying to use a different pip version to install it. In mac, delete /usr/local/bin/pip and rename(copy) pipx.y (whatever x.y version that matches your python version) to pip in that folder.

Seems that tensorflow only work on python 3.5 at the moment, try to run this command before running the pip install

conda create --name tensorflow python=3.5

After this running the following lines :

For cpu :

pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl

For gpu :

pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl

Should work like a charm,

Cheers

actually, you can use Python 3.5., I successfully solved this problem with Python 3.5.3. Modify python version to 3.5. in conda, see https://conda.io/docs/py2or3.html. then go to https://www.tensorflow.org/install/install_windows, and repeat from "Create a conda environment named tensorflow by invoking the following command" BLA BLA.....

On Windows 10, with Python 3.6.X version I was facing same then after checking deliberately , I noticed I had Python-32 bit installation on my 64 bit machine. Remember TensorFlow is only compatible with 64bit installation of python. Not 32 bit of Python

If we download Python from python.org , the default installation would be 32 bit. So we have to download 64 bit installer manually to install Python 64 bit. And then add

1. C:\Users\\AppData\Local\Programs\Python\Python36
2. C:\Users\\AppData\Local\Programs\Python\Python36\Scripts

Then run gpupdate /Force on command prompt. If python command doesnt work for 64 bit restart your machine.

Then run python on command prompt. It should show 64 bit

C:\Users\YOURNAME>python
Python 3.6.3 (v3.6.3:2c5fed8, Oct  3 2017, 18:11:49) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.

Then run below command to install tensorflow CPU version(recommended)

pip3 install --upgrade tensorflow

For Windows 10 64bit:

I have tried all the suggestions here, but finally got it running as follows:

1. Uninstall all current versions of Python
2. Remove all Python references in the PATH system and user Environment variables
3. Download the latest 64bit version of Python 3.8: Python 3.8.7 currently, NOT the latest 3.9.x version which is the one I was using, and NOT 32bit.
4. Install with all options selected, including pip, and including PATH Environment variable
5. pip install tensorflow (in Admin CMD prompt)
6. Upgrade pip if prompted (optional)

After activating the virtualenv, be sure to upgrade pip to the latest version.

(your_virtual_env)$  pip install --upgrade pip

And now you'll be able to install tensor-flow correctly (for linux):

(your_virtual_env)$  pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.0-py2-none-linux_x86_64.whl

I faced the same issue and tried all the solutions that folks suggested here and other links (like https://askubuntu.com/questions/695981/platform-not-supported-for-tensorflow-on-ubuntu-14-04-2).

It was so frustrating because using print(wheel.pep425tags.get_supported()) I could see that my ubuntu supported ('cp37', 'cp37m', 'linux_x86_64') and that was exactly what I was trying to install (from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl).

What at the end fixed it was to simply download the package first and then

pip install tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl

Make sure that the wheel is, well, supported by your platform. Pip uses the wheel's filename to determine compatibility. The format is:

tensorflow-{version}-{python version}-none-{your platform}.whl

I didn't realize that x86_64 refers to x64, I thought it meant either x86 or x64, so I banged my head against this futilely for some time. Tensorflow is not available for 32 bit systems, unless you want to compile it yourself.

The pip wheel contains the python version in its name (cp34-cp34m). If you download the whl file and rename it to say py3-none or instead, it should work. Can you try that?

The installation won't work for anaconda users that choose python 3 support because the installation procedure is asking to create a python 3.5 environment and the file is currently called cp34-cp34m. So renaming it would do the job for now.

sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.7.0-cp34-cp34m-linux_x86_64.whl

This will produced the exact error message you got above. However, when you will downloaded the file yourself and rename it to "tensorflow-0.7.0-py3-none-linux_x86_64.whl", then execute the command again with changed filename, it should work fine.

I was trying to do the windows-based install and kept getting this error.

Turns out you have to have python 3.5.2. Not 2.7, not 3.6.x-- nothing other than 3.5.2.

After installing python 3.5.2 the pip install worked.

I was trying to install from source, and got that error. (Why would a wheel built on this machine not be compatible with it-?)

For me, the tag --ignore-installed made all the difference.

pip install --ignore-installed /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl

worked, while

pip install /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl 

threw the abovementioned error.

Context: Conda environment; might have been a problem specific to this