* move average_accumulates op to phi kernel

Add yaml and unittest for bmm op

* sync misc changes

* add authors
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* up x

* Revert "up x"

This reverts commit f3fde458c6cc48613269a643cfe2acf689caccd3.

* add guarg for ipu
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* fix new dygraph record event for op

* update unit test

* back fl

* delete ssl cert

* .

* make warning

* .

* unittest paral degree

* solve unittest

* heter & multi cloud commm ready

* .

* .

* fl-ps v1.0

* .

* support N + N mode

* .

* .

* .

* .

* delete print

* .

* .

* .

* .

* fix bug

* .

* .

* fl-ps with coordinator ready

* merge dev

* update message parse only

* update fl client scheduler

* fix bug

* update multithreads sync

* fix ci errors

* update role_maker.py

* update role_maker.py

* fix ci error: windows py import error

* fix ci error: windows py import error

* fix windows ci pylib import error

* add dump fields & params

* try to fix windows import fleet error

* fix ps FLAGS error

* fix behavior of device_id=None in Tensor.cuda

* fix CI

* Set more attrs in ReplaceScaleLossGradOp

* Fix typos

* Fix CI errors

* Add UT

* add reverse yaml

* transfer the svd infer into phi infermeta

* remove the svd.h

* modify svd api

* fix svd error by insert optional

* Move slogdeterminant op to phi

* Add yaml and unit test for slogdeterminant

* update comp cost

* add dist default op cost

* add dist fill constant batch size like op cost

* add elewise op cost

* add fill_constant_batch_size_like op cost unittest

* add unittest and remove fill_constant_batch_size_like grad op cost

* add to cmakelist

* fix unittest bug

* 2022-04-28

* 2022-04-28_V2

* 2022-04-30

* 2022-04-30_V2

* 2022-05-01

* 2022-05-02

* 2022-05-02_V2

* 2022-05-05_V1

* 2022-05-06_V1

* 2022-05-07_V1

* Update loss.py

* 2022-05-07_V2

* 2022-05-13_V1

* Update test_soft_margin_loss.py

* Update loss.py

* Update loss.py

* 2022-05-16_V1

* 2022-05-19_V1

* 2022-05-20_V1

* Update test_soft_margin_loss.py

* 2022-06-01_V1

* 2022-06-05

* 2022-06-07

* 2022-06-07

* 2022-06-08

* 2022-06-08_V2

* 2022-06-17-code_style

* Modify python

* 2022-06-20

* for

* for CI;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* [dy2st]Add ProgramHelper to polish build program logic in autoparallel.Engine

* refine code

* add_ymal_utest for phi grid_sampler op

* Fix jit.save error when save params combined

* Change dict_value to list

* move inverse from fluid to phi with unitest bug

* fix bug, add eager op yaml

*test=kunlun

* [CustomDevice] register Copy for custom device

* [CustomDevice] register Copy for custom device

* [CustomDevice] register Copy for custom device

* merge and add uts

* merge and add uts

* fix for blocking and unittests coverage

* fix the outputs of net is x,x

* add unittest for duplicate output

* fix

* fix _infer_program use the original program not the amp program.

* get _***program_id back and avoid duplicate cache
ing

* fix

* add property.proto, can compiled

* property get and deserilize

* support get float

* format code

* format code

* add unittest

* add more set method

* fix grammar error

* Update paddle/fluid/jit/property.h
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update paddle/fluid/jit/property.cc
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update paddle/fluid/jit/property.cc
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update paddle/fluid/jit/property.cc
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* fix comment

* fix error throw

* fix property save unit test

* fix error info

* fix copyright and header import

* reorder jit property tensor datatype
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* fix_fill_constant

* fix_fill_constant

* fix_ernie

* bilinear_tensor_product yaml

* Replace with dygraph op calling method.

* [Dy2Sta]Fix Segment Fault while training multi-card if params have no grad

* fix unittest

* add slot attr for push sparse op

* add pybind

* remove fleet

* add unittest

* fix

* add xpu pnorm op and fix pool op, *test=kunlun

* add adaptive pool, and softmax with cross entropy supports different axis, *test=kunlun