* add conv2d_transpose_double_grad yaml

* add test_conv_transpose double_grad test case

* add abs double grad yaml and test case

* add pool2d double grad yaml

* add pool2d dygraph double grad test case

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review

* add double yaml

* add inline func

* Add gpudnn yaml config for some OPs

* Add grad gpudnn config

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix conflicts

* Support double grad check of op in Eager mode

* fix bugs of backward yaml

* adjust code format

* [Eager]Fix NeedTransformPlace behavior if set skip_transform in yaml

* add unittest for full_like

* fix unittest

* split phi and fluid infermeta context

* resolve conflict

* fix type error

* optimize scheduling perf

* spec small vector size

* replace all grad var name

* fix test failed

* move init defalut signature

* polish details

* polish details

* fix no init bug

* init sig for tests

* add init sig for infer

* fix infrt error

* fix infrt failed

* fix kunlun error

* fix infrt failed

* 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

* 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 new dygraph record event

* refine name

* fix

* fix

* fix according to review

* 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

* Add yaml for deformable_conv and deformable_conv_v1 OPs

* Add UT

* Add to skipped_phi_api list for infrt

* add adam yaml

* add adam final_state api

* add adam_impl

* add guassian random yaml

* add gaussian_random yaml and test case

* fix error modify of full yaml

* import in_dygraph_mode

* import _in_legacy_dygraph

* add place arg in api

* import __current_expected_place

* fix test_egr_python_api failed case

* add test case

* add cast for NormalInitializer

* fix test error

* fix test error

* rm unsed check code

* fix test error in test_initializer_nn

* modify by review

* add layer norm infermeta

* add layer norm yaml

* polish layer norm infer meta

* add layer norm to black list

* exchange assign and assign_raw kernel name

* fix register error

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

* Fixed elementwise issue

* Addressed CI failures

* add context pool unittests

* fix timeout

* polish details

* change option pos

* add dll decl for wndows

* fix pre-commit error

* move dll_decl and export DeviceContext

* replace lost dll_decl.h

* support setting vector out size in yaml

* support setting size of vector<tensor> for out in yaml

* add no need buffer

* add no need buffer

* remove determinant no need buffer

* add multi_dot,maxout,multiplex yaml

* add code converage

* add assign yaml

* add assign api

* add assign backward api

* add assign

* add assign yaml

* add assign

* assign yaml

* add assign raw kernel and use assign_raw in yaml

* merge develop branch

* add missing python_api

* gather op

* add mod

* [Yaml] final state for uniform and uniform_random

* [Eager]Fix segment_pool/allclose/isclose/scale API bug

* fix kernel register problem

* ad conj flip yaml

* add flip conj pixel shuffle

* add swish yaml and final state api

* skip mkldnn test

* fix grad mkldnn test