Mpi Class
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._DistributedTrainingMpi
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.
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