tf.contrib.checkpoint.capture_dependencies(template)
Defined in tensorflow/python/training/checkpointable/util.py.
Capture variables created within this scope as Template dependencies.
Requires that template.variable_scope is active.
This scope is intended as a compatibility measure, allowing a checkpointable
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-Templates. Where possible, use tf.make_template directly.
Args:
template: TheTemplateobject to register dependencies with.
Yields:
None (when used as a context manager).