* trainer auto wait pserver port ready

* add file

* fix docstring

* add option to not wait

* update api spec

* clean

* fix test hang

* add ignore index

* update api.spec

* enhance softmax_with_cross_entropy

* support test using executor without reader

* run imgnet

* update fluid benchmark

* wip

* update

* update all models

* support pyreader

* update

* clean up

* make profile batches contollable

* update API.spec

* update scripts

* clean dockerfile

* update

* clean comments

* add scope argument docstring

* use num_trainers to determine nccl init comms

* add save_inference_model for Trainer

* add comment

* update comment

* fix mac compile

* add unit test

* update API.spec

* revert cpplint-cpp-source

* rmsprop optimizer support v1 mode

* typo

* optimize code

* refine code

* optimize unit test

* update test_rmsprop_op.py

* update formula of rmsprop

* optimize document

* update API.spec for RMSPropOptimizer

* add default value to check_output_with_place equal_nan

* reimplement auc in pyton

* reimplement auc in fluid

* add auc unittest


* replace new auc in layers


* add batch Auc in Fluid

* name formated

* Add pad2d op.

* Add unitest and python api.

* Fix cuda op kernel.

* Fix python api.

* Fix python api.

* Update API.spec.

* Fix python api

* Add unit test for rpn_target_assign API.

* Add generate_proposal_labels for Faster-RCNN.

* fix dist transpile with memopt

* update api.spec

* polish dist transpile api

* update apispec

* update apispec

* Add proposals generation operator for Faster-RCNN.

* enhance pad_constant_like_op

* add API

* add API

* Support int8 type.

* add is_test for while_op

* Change API

* Fix scatter_op python API and remove inconsistency between implementation and doc

* API spec change

* Change as review comment

* Add three modes for prelu_op.

* dist transpile can pass startup program by argument

* update API.spec

Add flatten op interface and enhance APIs about detection to support variable-length image. (#12422)

* add flatten api&enhance detection api

* unify shape_op data type

* update API.spec

add export_for_deployment flag to save_inference_model

* hide misc APIs

* update

* fix transformer test

* update API.spec

* api clean

* update API.spec

* Hidden APIs for While, StaticRNN, ParallelDo.