segmentation fault for Sr with iterative method

Created by: wuyukai

I'm able to run the examples in the Tutorial using Stochastic Reconfiguration with 'UseIterative' set as False. But if I set it to True, I get the message "Segmentation fault (core dumped)". For example, below is what I get from the J1-J2 model with an empty .log file.

# Graph created # Number of nodes = 20 # RBM Initizialized with nvisible = 20 and nhidden = 20 # Using visible bias = 1 # Using hidden bias = 1 # Machine initialized with random parameters # Hamiltonian Metropolis sampler with parallel tempering is ready # 16 replicas are being used # Learning running on 1 processes # Using the Stochastic reconfiguration method # With iterative solver Segmentation fault (core dumped)

I'm using Ubuntu 18.04 with gcc 7.3.0, python 3.6.5 and mpich 3.3a2. The other libraries come with the netket.