Defined in tensorflow/python/training/checkpointable/

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.


  • template: The Template object to register dependencies with.


None (when used as a context manager).