* add distributed auc

* add attr "is distributed" and config it

* add distributed auc

* add batch auc and code format

* code format

* auc optimize

* metric_op optimize

* code clean

* bug fix and code clean

* bug fix and code clean

* code optimize

* code optimize

* api spec update

* Comments optimized

* add mutex

* Revert: add mutex

* remove distribute metric

* remove distribute metric

* spec modifyed

* add annotation, test=develop

* keep API compatibility
test=develop

refine peephole

add ut of trt common models

* hide operator API

* update

* update api.spec

* fix merge

* fix test

Add mutable proc for mac run test

* flags

* "fix ci"

test=develop

Fix reader of rnn_search in python3

* some trivial opt

* remove the fix of lod_tensor and shrink_rnn_memory_op

* refine ShrinkRNNMemoryOp

test=develop

Add a test to load a full model and allow to to post-train from C++

test=develop

* add multi_label UT

* rename, fix typo, add fuse_statis check

Enable MKL-DNN in Analysis Predictor

little update to conv relu fuse pass (fix)

disable nccl2 test on CPU-only mode

Revert "Revert "Add Python Callstacks when Op::Run error (#12759)""

Also fix MKL-DNN pooling integration for ceil mode

* mac ci make install fix

* fix build

* update

* update

[Urgent] Add out params to some apis

clean a few more kwargs

Hide parameter

only mode