* 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 priops.py

* 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 python primitive wrappers.

* Jvp rules updated.

* JVP rules done for all the 17 primops.

* quick check and fixes.

* add jvp(op, *args)

* 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 transpose rules.

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

* update concat_p

* Linearize and transpose in progress..

* refine gather_p and scatter_add_p

* updated.

* update transpose.

* refine slice_assign_p and slice_select_p

* init commit for lower

* Merged with primitive ops.

* small update

* add rules for orig2prim and prim2orig

* add 9 test for prim ops

* add more test and fix some bug

* add more test

* register proto

* Adding primops test.

* 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

* Test updated.

* update

* fix slice bug for slice_select_p and slice_assign_p

* updated.

* Ops updated.

* Refactor and bug fixes.

* updated.

* finish orig2prim and prim2orig rules

* dtype for axis attr should be long int

* update dtype for axis attr int64_t

* update for iscan CI

* Update primx.

* Refactor vars in primx.

* update for lower transform

* update primx.py

* update

* Fix linearize and transpose.

* Update is_dot

* Update is_dot

* Update is_dot

* add gradient aggregation, fix add_transpose.

* pass first linearize+transpose test.

* update test

* add_prim_op_pywrapper

* Add primops UT

* Fix set_value and update

* Fix code format and PR-CI-Coverage
Co-authored-by: Nveyron95 <veyron_wu@163.com>
Co-authored-by: NJiabin Yang <360788950@qq.com>
Co-authored-by: NTongxin Bai <waffle.bai@gmail.com>
Co-authored-by: N0x45f <wangzhen45@baidu.com>

* moe ref

* ref commit; test=document_fix

* update; test=document_fix

* update test=document_fix

* add adamw yaml

* fix test case error

* make the name of weight and bias in linear1 and linear2 to be constant

* [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

* [DoubleGrad] Enabled test_imperative_star_gan_with_gradient_penalty.py under eager mode

* Adjusted test_imperative_star_gan_with_gradient_penalty.py

* refactor mp in eager mode

* update

* update

* add uts

* add gpupsutil and afsclient; test=develop

* Add core.eager.StringTensor __init__ which pyarray args can be passed

* Add the numpy method of core.eager.StringTensor

* revert tensor.to_string modification

* Add ToPyObject for core.eager.StringTensor

* Add debug string for core.eager.StringTensor

* Remove place args of core.eager.StringTensor temporarily

* Fix check string_tensor error

* remove dtype of core.eager.StringTensor

* add core.eager.StringTensor unittest

* remove pstring from VarDesc

* Add InitStringTensorWithStringTensor

* Remove to_string modification

* Remove zero_copy arg from StringTensor creator

* add mixed-precission support for ipu

* restore cast_model_to_fp16 api

* update UTs

* support no_need_buffer in eager_fluid state

* change no_need_buffer info from fwd_info to bwd_info

* fix CI fail, gru_unit donnot use no_need_buffer

* fix conflict between no_need_buffer and dispensable

* use tensor.define in dispensable

* solve conflict

* solve conflict

* change cudnn helper for auto-tune

* Add FLAGS_use_autotune to set the global status of autotune and change the order of choosing algorithm.

* Fix the bug in calculating and printing current step cache hit rate.

* Improve the autotune cache and fix unittest.

* Change the key from AlgorithmType to int64_t.

* Fix unittest for cpu-only env.

* change ChooseAlgoByWorkspace for heuristic mode
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* [MLU] add mlu new profiler

* fix format

* update cluster

* executor perf statistics

* fix ut

* fix ut

* fix ut

* add ut

* add ut

* Add UT

- Added missed data_layout

- Added missing conversions

- NDHWC added

- NDHWC support in data_transform

- another fix

- condddate change

- fix

u- fix

- fix

- fix

- fix

- fix

- fix to hack

- compilation fix

- fix to automatic merge

* - reduced UT

* - fix

* - lint

* - fix to lint

* Change tensor name to match activation

* declare fc_eltwise_add pass

* merge conv_eltwise refactor PR

* first compilable draft

* unittest feedback tools

* Fuse pass tester

* Move IsReachable() to shared file

* 100% coverage of fuse_pass_tester.cc

* register pass

* Add bias node

* Improve unit tests / remove bias node from pattern

* improve fc_eltwiseadd_unittest

* cancel eltwise_add fuse if act is already fused

* Add elementwise_input scale

* Residual MVP

* Add new FC attrs

* Add more test cases

* Add missing op attrs

* Adapt code to new Elementwise pattern

* reuse existing fcpattern

* improve code style

* remove unused arguments

* fix typo

* remove whitespace

* remove int8 related code

* Remove attributes from base ops

* style

* style check

* Remove input from base op

* Set attribute during fuse

* ut timeout

* download and test model

* DRY

* apply feedback from review

* Style check

* fix typo

* cosmetic changes

* explicitly set residual as output

* VIT-OCR accuracy check

* trigger CI

* remove whitespaces

* fix missing data file

* 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

* fix bfgs_doc; test=document_fix

* add parameter name; test=document_fix

* modify according to chenlong's comments;test=document_fix

* 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

* the one ps proto

* the one ps proto

* fix

* fix

* fix

* fix windows ci

* fix windows ci

* add dependency

* add dependency

* adjust the slice end in getitem

* fix bug

* fix bug

* fix bug

* recover start change

* 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

* [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