Greedy TF causes segfaults

[mmalenta]

Currently TensorFlow tries to use all of the GPU memory. That causes problems if there are other processes running that use GPU memory (pipeline, plotting, anything else...). This causes the FRBID process to segfault and also crashes other processes.

The solution is to limit the amount of GPU memory TF can use at once, something along the line of 10-15%.