Variable summaries and the learning rate are added elsewhere in the
code.  A quick search also shows that this function is never called.

Add adversarial text model

Implementation for Cognitive Mapping and Planning paper.

'xrange' was used in multiple places. In this setting it provided no measurable gain in terms of performance or memory, but broke python3 compatibility. It was replaced with 'range'

The flag description for the momentum flag states that it is `The
momentum for the MomentumOptimizer and RMSPropOptimizer`, however its
not actually used in the RMSPropOptimizer.  Instead, a separate
`rmsprop_momentum` flag was used.  This deletes that flag for
simplicity.  It was not referenced anywhere else in the repo.

Code organization for the compression models

subdirectory.

Further updates to ISSUE_TEMPLATE.md

* Fixed model_deploy to correctly assign weights to variables_device

* Adding test for network_fn's arg_scope

* Style fix (double blank line)

* Add WORKSPACE file to models/slim so that imports work properly

Fix issue template

Issue template for models.