Use num.threads in auxiliary forest training

[erikcs]

In places where grf estimates additional components like here, we should ideally also respect a num.threads argument. This would be relevant when users are running code on shared resources and don't want to use all cores (#1266). It is also relevant for reproducibility (#1368), and ensures ATE estimates for IV forest and causal forest with a continuous is the same across platforms.