run_multiprocessing#
- gammapy.utils.parallel.run_multiprocessing(func, inputs, backend=None, pool_kwargs=None, method=None, method_kwargs=None, task_name='')[source]#
Run function in a loop or in Parallel.
- Parameters:
- funcfunction
Function to run.
- inputslist
List of arguments to pass to the function.
- backend{‘multiprocessing’, ‘ray’}, optional
Backend to use. Default is None.
- pool_kwargsdict, optional
Keyword arguments passed to the pool. The number of processes is limited to the number of physical CPUs. Default is None.
- method{‘starmap’, ‘apply_async’}
Pool method to use. Default is “starmap”.
- method_kwargsdict, optional
Keyword arguments passed to the method. Default is None.
- task_namestr, optional
Name of the task to display in the progress bar. Default is “”.
Notes
The progress bar can be displayed for this function.