jupyter kernel dies when running /examples/workflow.ipynb about dist-keras

[reedv]

Running (keras-dist_test) ➜ examples git:(master) ✗ jupyter nbconvert --to python workflow.ipynb to get a .py file for running the workflow example outsided of jupyter notebook. The running the resulting script shows the error:

(keras-dist_test) ➜  examples git:(master) ✗ python workflow.py
Using TensorFlow backend.
[1]    333 illegal hardware instruction (core dumped)  python workflow.py

when importing keras.

[reedv]

Following the solutions desccribed here (https://stackoverflow.com/a/49388337/8236733) and here (tensorflow/tensorflow#17411 (comment)) worked for me.

pip install tensorflow=1.5

Still wondering if anything else can be done that avoids downgrading.
Will tensorflow 1.5 still be enough to use all of the functionality of dist-keras?