tf.contrib.checkpoint.capture_dependencies
Capture variables created within this scope as Template
dependencies.
@tf_contextlib.contextmanager tf.contrib.checkpoint.capture_dependencies( template )
Requires that template.variable_scope
is active.
This scope is intended as a compatibility measure, allowing a trackable object to add dependencies on variables created in a block of code which is not aware of object-based saving (and instead uses variable names heavily). This is how Template
objects add dependencies on variables and sub-Template
s. Where possible, use tf.compat.v1.make_template
directly.
Args | |
---|---|
template | The Template object to register dependencies with. |
Yields:
None (when used as a context manager).
© 2020 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/versions/r1.15/api_docs/python/tf/contrib/checkpoint/capture_dependencies