GitLab

Summary:
Pull Request resolved: https://github.com/facebookresearch/d2go/pull/431

Add a generic domain adaptation algorithm. This algorithm:
* gets domain0 data out of the dataloader
* runs domain0 data into the model and saves target layer output
* gets domain1 data of the dataloader
* runs domain1 data into the model and saves target layer output
* runs domain adaptation loss on domain0, domain1 outputs
* combines losses using model training iteration

This diffs adds `get_preprocess_domain0_input` and `get_preprocess_domain1_input` to the distillation helper. These are functions that the user can use to convert the dataloader output to something that will be used by the model (e.g., pull the domain0 or domain1 key out of a dataloader that returns a dict).

Differential Revision: D40970724

fbshipit-source-id: fff050fbe864654fa6cb0df927f6843855ec1c14