W3cubDocs

/TensorFlow Python

tf.contrib.copy_graph.copy_op_to_graph

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

Defined in tensorflow/contrib/copy_graph/python/util/copy_elements.py.

Returns a copy of an operation from another Graph under a specified scope.

Given an Operation org_instance from one Graph, initializes and returns a copy of it from another Graph, 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.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/copy_graph/copy_op_to_graph