* support multi layer and bidirection of lstm_grad, *test=kunlun

* support multi layer and bidirection of lstm_grad, *test=kunlun

* support some c++ api in paddle namespace

* change c++ api namespace in custom op

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode

* Enabled more test cases

* Fixed performance issues

* Fixed minor issue

* temporariliy run once

* update

* update

* update

* update

* fix ci problem

* chnage dispatch to visit

* resolve conflict

* add mkldnn int8 pass [step3]

* Add test for compute_propagate_scales_mkldnn_pass

* update pass

* update api comment and python api
Co-authored-by: Nwozna <joanna.wozna@intel.com>

* added shuffle_channel bf16/fp32 fwd kernel

* added missing files

* CI fix

* changed from pten to phi

* tmp save

* added reviewers suggestions

* fix for test

* native commit for triple grad of sigmod

* Updated unittests files

* init functional jacobian api

* Updated trible_test func

* Updated gradient_checker & test_script

* finish test with dtype float32

* add float64 test case

* polish code

* use atol=1e-5 with dtype float64

* fix for ci

* set timeout for test_jacobian

* fix dygraph grad to support high differential

* polish API docstring

* Updated gradient checker and some related files

* fix double grad strip error for high differential

* fix double grad strip error for high differential

* Add Sigmoid triple grad tests

* fix dygraph double grad dtype error when calling for high differential senario

* Updated triple grad teses func

* Use np.random to initialize ddx

* Updated triple_grad_check func

* add todo for gradient checker and refine some comments

* remove additional code

* add test for warnging in backward.py

* format python code

* support multi input in triple gradient checker

* Add matmul triple grad kernel

* Updated comments of TODO

* Supported some special tests

* Change code-format to follow CI std

* Updated gradient_checker.py

* Fix conflicts

* Removed unnecessary printing log

* Change code style to follow CI std

* merge upstream

* add_p

* rm useless files

* add sub_p mul_p div_p

* add sqrt_p and tanh_p

* add reshape_p

* add broadcast_p

* add broadcast_p fill_constant_p matmul_p reduce_p reshape_p transpose_p

* add split_p and concat_p

* add gather_p and scatter_add_p

* add slice_select_p and slice_assign_p

* add multi input check for add_p, sub_p, mul_p, div_p

* update concat_p

* refine gather_p and scatter_add_p

* refine slice_assign_p and slice_select_p

* add 9 test for prim ops

* add more test and fix some bug

* add more test

* register proto

* add shape valid check for broadcast_p op, and add keepdim attr into reduce_p op proto

* support multi input and multi output for split_p and concat_p

* fix slice bug for slice_select_p and slice_assign_p

* dtype for axis attr should be long int

* update dtype for axis attr int64_t

* update for iscan CI

* add more shape and dtype check

* change IndexTensor into int32 dtype

* the one ps proto

* the one ps proto

* fix

* fix

* fix

* fix windows ci

* fix windows ci

* add dependency

* add dependency

[XPUPS]add support for kunlun2
Co-authored-by: NWorgenZhang <frank08081993@gmail.com>

* fix new dygraph record event

* refine name

* fix

* fix

* fix according to review

* init roll convert

* add ut for roll convert

* roll convert don't support trt6.0

* fix: change ut for trt 7.0.0.1

* add sgd yaml

* change python api

* open eager mode in sgd

* fix bug

This reverts commit fe214af2.

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* Fixed minor issues

* add expand, poisson

* add poison grad

* add expand equal_all poisson triangular solve yaml

* support construct scalar using non-cpu tensor

* fix bugs when run unittest

* fix compile bugs

* fix bugs when run ci

* fix compile bugs

* fix bugs when move copy

* perfect unit test

* perfect unittest

* update according to comment

* add target dependency

* remove stack_grad infershape

* fix bug of output with null

* fix bug

* optimize hbm

* format

* format

* Add yaml for deformable_conv and deformable_conv_v1 OPs

* Add UT

* Add to skipped_phi_api list for infrt

* fix split error when sections has 0 size and add test case

* fix test case

* add adam yaml

* add adam final_state api

* add adam_impl

* update sign op on xpu. test=kunlun

* fix typo. test=kunlun

* remove old custom op placetype

* replace dist  placetype using

* add with gpu macro

* fix mutable_data error

* fix set value error

* add comment

* strided_slice

* fix: compiler error because of size()

* fix: warning

* fix : warning

* init input_shape

* fix:forget punctuation