Mpi Class

  • Reference

Manages Message Passing Interface (MPI) settings for distributed training jobs.

DEPRECATED. Use the MpiConfiguration class.

MPI can be specified for a job with the distributed_training parameter of preconfigured estimators Chainer, PyTorch, and TensorFlow, or with a generic Estimator.

A class for managing MPI settings for jobs.

Inheritance
azureml.train._distributed_training._DistributedTraining
Mpi

Constructor

Mpi(process_count_per_node=1)

Parameters

process_count_per_node
int
default value: 1

The number of processes (or "workers") to run on each node.

process_count_per_node
int
Required

When using MPI, number of processes per node.