|TensorFlow 1 version||View source on GitHub|
Connects to the given cluster.
Compat aliases for migration
See Migration guide for more details.
tf.config.experimental_connect_to_cluster( cluster_spec_or_resolver, job_name='localhost', task_index=0, protocol=None, make_master_device_default=True )
Used in the notebooks
|Used in the guide|
Will make devices on the cluster available to use. Note that calling this more
than once will work, but will invalidate any tensor handles on the old remote
If the given local job name is not present in the cluster specification, it
will be automatically added, using an unused port on the localhost.
job_name: The name of the local job.
task_index: The local task index.
protocol: The communication protocol, such as
"grpc". If unspecified, will
use the default from
make_master_device_default: If True and a cluster resolver is passed, will
automatically enter the master task device scope, which indicates the
master becomes the default device to run ops. It won't do anything if
a cluster spec is passed. Will throw an error if the caller is currently
already in some device scope.