tf.Session.reset(target, containers=None, config=None)

tf.Session.reset(target, containers=None, config=None)

Resets resource containers on target, and close all connected sessions.

A resource container is distributed across all workers in the same cluster as target. When a resource container on target is reset, resources associated with that container will be cleared. In particular, all Variables in the container will become undefined: they lose their values and shapes.

NOTE: (i) reset() is currently only implemented for distributed sessions. (ii) Any sessions on the master named by target will be closed.

If no resource containers are provided, all containers are reset.

Args:

• target: The execution engine to connect to.
• containers: A list of resource container name strings, or None if all of all the containers are to be reset.
• config: (Optional.) Protocol buffer with configuration options.

Raises:

tf.errors.OpError: Or one of its subclasses if an error occurs while resetting containers.

Defined in tensorflow/python/client/session.py.