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doc: fix documentation to provide working example. #1387

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Apr 3, 2020
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doc: fix documentation to provide working example. #1387

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8 changes: 4 additions & 4 deletions doc/using_tf.rst
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Expand Up @@ -267,19 +267,19 @@ Training with ``MPI`` is configured by specifying following fields in ``distribu
command executed by SageMaker to launch distributed horovod training.


In the below example we create an estimator to launch Horovod distributed training with 2 processes on one host:
In the below example we create an estimator to launch Horovod distributed training with 4 processes on one host:

.. code:: python

from sagemaker.tensorflow import TensorFlow

tf_estimator = TensorFlow(entry_point='tf-train.py', role='SageMakerRole',
train_instance_count=1, train_instance_type='ml.p2.xlarge',
framework_version='1.12', py_version='py3',
train_instance_count=1, train_instance_type='ml.p3.8xlarge',
framework_version='2.1.0', py_version='py3',
distributions={
'mpi': {
'enabled': True,
'processes_per_host': 2,
'processes_per_host': 4,
'custom_mpi_options': '--NCCL_DEBUG INFO'
}
})
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