org.platanios.tensorflow.api.core.distributed
Releases the native resources associated with this object.
Releases the native resources associated with this object.
Function used to delete the native server object (i.e., free relevant memory).
Blocks until the server has shut down.
Blocks until the server has shut down. This method currently blocks forever.
ServerDef containing all the configuration options for this server.
Starts this server.
Boolean indicator, specifying whether to start the server immediately after creating it.
Stops this server.
Returns the target for a Session to connect to this server.
Constructs and returns a ServerDef object that represents this session.
Constructs and returns a ServerDef object that represents this session.
Constructed ServerDef.
Constructs and returns a ServerDef object that represents this session.
Constructs and returns a ServerDef object that represents this session.
Constructed ServerDef.
In-process TensorFlow server, for use in distributed training.
A Server instance encapsulates a set of devices along with a Session target, that can participate in distributed training. A server belongs to a cluster (specified by a ClusterConfig when creating the server), and corresponds to a particular task in a named job. The server can communicate with any other server in the same cluster.