Command line python and jupyter notebooks use two different versions of torch
On my conda environment importing torch from command line Python and from a jupyter notebook yields two different results.

Command line Python:

$ source activate GNN
(GNN) $ python
&gt;&gt;&gt; import torch
&gt;&gt;&gt; print(torch.__file__)
/home/riccardo/.local/lib/python3.7/site-packages/torch/__init__.py
&gt;&gt;&gt; print(torch.__version__)
0.4.1


Jupyter:

(GNN) $ jupyter notebook --no-browser --port=8890

import torch

print(torch.__file__)
/home/riccardo/.local/lib/python3.6/site-packages/torch/__init__.py

print(torch.__version__)
1.2.0+cu92


I tried the steps suggested in Conda environments not showing up in Jupyter Notebook 

$ conda install ipykernel
$ source activate GNN
(GNN) $ python -m ipykernel install --user --name GNN --display-name "Python (GNN)"
Installed kernelspec GNN in /home/riccardo/.local/share/jupyter/kernels/gnn


but that did not solve the problem.

You need to sort of make the Anaconda environment recognized in Jupyter using 

conda activate myenv
conda install -n myenv ipykernel
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"


Replace myenv with the name of your environment. Later on, in your Jupyter Notebook, in the Select Kernel option, you will see this Python (myenv) option.
