Using TensorFlow through Jupyter (Python 3)

Question

Apologies in advance, I think the issue is quite perplexing!

I would like to use TensorFlow through Jupyter, with a Python3 kernel.

Answer 1

I had the same problem and solved it using the tutorial Using a virtualenv in an IPython notebook. I'll walk you through the steps I took.

I am using Anaconda, and I installed a new environment tensorflow using these instructions at tensorflow.org. After that, here is how I got tensorflow to work in a Jupyter notebook:

1. Open Terminal
2. Run source activate tensorflow. You should now see (tensorflow) at the beginning of the prompt.

3. Now that we are in the tensorflow environment, we want to install ipython and jupyter in this environment: Run

   conda install ipython 
   

   and

   conda install jupyter
   

4. Now follow the instructions in the tutorial linked above. I'll repeat them here with a bit more information added. First run

   ipython kernelspec install-self --user 
   

   The result for me was Installed kernelspec python3 in /Users/charliebrummitt/Library/Jupyter/kernels/python3

5. Run the following:

   mkdir -p ~/.ipython/kernels
   

   Then run the following with replaced by a name of your choice (I chose tfkernel) and replace the first path (i.e., ~/.local/share/jupyter/kernels/pythonX) by the path generated in step 4:

   mv ~/.local/share/jupyter/kernels/pythonX ~/.ipython/kernels/
   

6. Now you'll see a new kernel if you open a Jupyter notebook and select Kernel -> Change kernel from the menu. But the new kernel will have the same name as your previous kernel (for me it was called Python 3). To give your new kernel a unique name, run in Terminal

   cd ~/.ipython/kernels/tfkernel/
   

   and then run vim kernel.json to edit the file kernel.json so that you replace the value of "display_name" from the default (Python 3) to a new name (I chose to call it "tfkernel"). Save and exit vim by typing :wq while in command mode.

7. Open a new Jupyter notebook and type import tensorflow as tf. If you didn't get ImportError then you are ready to go!