Tensorflow-1.0.1-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.

Question

Problem :

Currently I have installed Python version 3.5 and 3.6 and anaconda on my box.

The following error comes up while trying to install tensorflow below are the steps https://www.tensorflow.org/install/install_windows using the anaconda

(tensorflow) C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl

tensorflow-1.0.1-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.

As I am very much new to Python, I am unable to resolve this problem. I am using the Windows 10 with 64bit.

Answer 1

I also had the same problem in my windows 10 and python 3.6 box so I tried to navigate to anaconda navigator I just searched the anaconda navigator in start search,

in your Environment tab you can create/delete your environments. So please create the environment and name it as tensorflow and choose your python 3.5 as python version.

After that you can activate the tensorflow in your command line as follows :

activate tensorflow

and install the tensorflow with below command :

pip install tensorflow #or tensowrlow-gpu

 

OR

The most convenient way to install the tensorflow is by creating the virtual environment in Conda with your python 3.5.2 and using the Conda-forge. This can be done by running below commands :

1.      conda create -n tensorflow python=3.5.2

2.      activate tensorflow

3.      conda config --add channels conda-forge

4.      conda install tensorflow

Answer 2

I ran into the same difficulties with the same error. It seems to be that Python 3.6 isn't immediately supported and found a sort of workaround here (note that this involves installing Python 3.5 which I did not already have installed, I don't know if this should be done a different way if its already installed):

If you are using anaconda distribution, you can do the following to use python 3.5 on the new environment "tensorflow":

conda create --name tensorflow python=3.5
activate tensorflow
conda install jupyter
conda install scipy
pip install tensorflow
\# or
\# pip install tensorflow-gpu

It is important to add python=3.5 at the end of the first line, because it will install Python 3.5.

If you've already created the tensorflow environment (the conda create step), you'll have to delete it and start over. Otherwise, you'll run into an error "CondaValueError: Value error: prefix already exists: C:\[your environment location]" (If you run into the unsupported wheel error, then you probably created the environment already.)

To delete your previous environment, according to the Conda Cheat Sheet, you first deactivate from (tensor flow) if needed by calling deactivate, then call conda remove --prefix ~/bioenvcopy --all. For ~/bioenvcopy I believe you use the tensorflow environment path. The location can be found by calling conda info --envs (citing the cheat sheet once again). Mine, for example, was conda remove --prefix ~/Anaconda3/envs/tensorflow

Creating the tensorflow env without the correct python version did not work for me. So I had to do the following, which worked…

>deactivate tensorflow # start by deactivating the existing tensorflow env
>conda env remove -n tensorflow # remove the env

>conda create -n tensorflow python=3.5
>activate tensorflow

In Anaconda prompt, follow the instruction on Installing with Anaconda,

1. conda create -n tensorflow
2. activate tensorflow

Then the third step is a little different, try:

pip install tensorflow