Pass arguments to dask.compute() #1523
Description
I work with a very large dask-based algorithm in xarray, and I do my optimization by hand before hitting compute(). In other cases, I need using multiple dask schedulers at once (e.g. a multithreaded one for numpy-based work and a multiprocessing one for pure python work).
This change proposal (which I'm happy to do) is about accepting *args, **kwds parameters in all .compute(), .load(), and .persist() xarray methods and pass them verbatim to the underlying dask compute() and persist() functions.