* refactor general_grad and fix some bugs

* add TODO: support prune logic deeper

* [XPU] add top_k op. test=kunlun

* [XPU] add top_k op. test=kunlun

* use PADDLE_ENFORCE_XDNN_NOT_NULL to check pointer. test=kunlun

* add more loss ops

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

* move crop_tensor from fluid to phi

* delete fluid header files

* fix crop_tensor_op dygraph_mode bug

* modify header files, add out tensor check

* jit.save support peropty serilization

* extract set property function

* fix property test file name

* fix typing error

* fix typing error

* fix test coverage

* [CustomDevice] add process_group_xccl ut

* update

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>

* 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