qml.concurrency.executors.external.mpi.MPICommExec

class MPICommExec(max_workers=None, persist=False, **kwargs)

Bases: ExtExec

MPICommExecutor abstraction class functor. To be used if dynamic process spawning required by MPIPoolExec is unsupported by the MPI implementation.

This executor wraps the mpi4py.futures.MPICommExecutor class, and provides support for execution using multiple processes launched using MPI. For an example script my_script.py, and an installed mpi4py library with the active MPI environment, the executor can be used as follows:

$ mpirun -n 4 -m mpi4py.futures my_script.py

See mpi4py.futures - Command line for additional details on launching jobs.

Note

All calls to the executor are synchronous, and do not currently support the use of futures as a return object.

Attributes

persist	Indicates whether the executor will maintain its configured state between calls.
size	The size of the worker pool for the given executor.

persist

Indicates whether the executor will maintain its configured state between calls.

size

Methods

map(fn, *args, **kwargs)	Single iterable map for batching execution of fn over data entries.
shutdown()	Shutdown the executor backend, if valid.
starmap(fn, args, **kwargs)	Single iterable map for batching execution of fn over data entries, with each entry being a tuple of arguments to fn.
submit(fn, *args, **kwargs)	Single function submission for remote execution with provided args.

map(fn, *args, **kwargs)

Single iterable map for batching execution of fn over data entries. Length of every entry in *args must be consistent. kwargs are assumed as broadcastable to each function call.

shutdown()

Shutdown the executor backend, if valid.

starmap(fn, args, **kwargs)

Single iterable map for batching execution of fn over data entries, with each entry being a tuple of arguments to fn.

submit(fn, *args, **kwargs)

Single function submission for remote execution with provided args.

code/api/pennylane.concurrency.executors.external.mpi.MPICommExec

 

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