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: Iforg_instanceis not anOperationorTensor.
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