Copying Graph Elements (contrib)

[TOC]

Functions for copying elements from one graph to another.

tf.contrib.copy_graph.copy_op_to_graph(org_instance, to_graph, variables, scope='')

Given an Operation 'org_instancefrom oneGraph, initializes and returns a copy of it from anotherGraph, under the specified scope (default""`).

The copying is done recursively, so any Operation whose output is required to evaluate the org_instance, is also copied (unless already done).

Since Variable instances are copied separately, those required to evaluate org_instance must be provided as input.

Args: org_instance: An Operation from some Graph. Could be a Placeholder as well. to_graph: The Graph to copy org_instance to. variables: An iterable of Variable instances to copy org_instance to. scope: A scope for the new Variable (default "").

Returns:

The copied `Operation` from `to_graph`.

Raises:

• TypeError: If org_instance is not an Operation or Tensor.

tf.contrib.copy_graph.copy_variable_to_graph(org_instance, to_graph, scope='')

Given a Variable instance from one Graph, initializes and returns a copy of it from another Graph, under the specified scope (default "").

Args: org_instance: A Variable from some Graph. to_graph: The Graph to copy the Variable to. scope: A scope for the new Variable (default "").

Returns:

The copied `Variable` from `to_graph`.

Raises:

• TypeError: If org_instance is not a Variable.

tf.contrib.copy_graph.get_copied_op(org_instance, graph, scope='')

Given an Operation instance from some Graph, returns its namesake from graph, under the specified scope (default "").

If a copy of org_instance is present in graph under the given scope, it will be returned.

Args: org_instance: An Operation from some Graph. graph: The Graph to be searched for a copr of org_instance. scope: The scope org_instance is present in.

Returns:

The `Operation` copy from `graph`.