* Support double grad check of op in Eager mode

* fix bugs of backward yaml

* adjust code format

* [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

* [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

* [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 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

* 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

* [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

* add dist erfinv gumbel softmax

* fix test gumbel softmax op bug

* try to fix gumbel softmax error

* add label smooth backlist

* add yaml

* perfect converage

* add unbind yaml

* fix unittest

* add graph_send_recv yaml

* deal with confict

* fix compile bugs

* add exp yaml

* add exp api in test case

* add determinant yaml

* fix exp op unittest

* change test class name

* modify api name

* compacted with raw api

* fix det api

* add python_api

* add test eager for determinant op

* add real and imag yaml

* add roi_align and roi_pool yaml

* add qr yaml

* add psroi_pool yaml

* fix bug

* fix param bug of psroi_pool

* fix infrt problem

* fix merge bug

* update

* add conv yaml

* add backward

* remove useless code

* fix bug

* fix bug

* revert fluid dygraph conv2d

* remove useless infermeta function

* fix meta fn deluplicat error

* conv using custom impl

* remove amp include

* fix bug

* use cudnn = true

* fix test mkldnn caching bug

* fix less than

* fix some tests

* fix additional 3 unittest case

* move yaml

* add momentum yaml

* delete code

* delete some code

* add meshgrid backward

* delete code

* fix compile bugs

* [Refactor] refactored eager_gen.py PR #2

* [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes

* Fixed minor issue

* Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition

* Fixed issues

* Supported higher-order grad node generation

* [DoubleGrad PR #4] Supported higher-order GradNode generation

* [DoubleGrad #4] Bug Fixes to Double Grad Node Generation

* Fixed yaml typo

* Fixed yaml typo

* fixed minor issues

* [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()

* Fixed minor issue

* Fixed CI-Inference issue

* Fixed CI-inference issues

* [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run

* Fixed minor issues

* Fixed issue with backward graph construction logic

* Fixed implementation issues with backward graph reconstruction

* Fixed unittest issue

* Fixed issues

* [DoubleGrad PR #8] Enabled triple grads for sigmoid and matmul

* Fixed issues with phi kernel

* Added triple grad test case

* Fixed minor issue

* add roi_align yaml

* fix bug

* add stack yaml

* add stack yaml

* add stack yaml

* add no_need_buffer

* refine no_need_buffer declare

* remove original grad infershape

* revert stack op

* update

* fix bug

* add clip yaml

* import _test_eager_guad

* add default value to scalar

* add clip_grad default value

* fix test failed

* update epxand and sigmoid with cross entropy

* skip expand as infrt check

* fix sigmoid cross entropy bug

* remove no grad set white list

* remove no grad set

* fix bug

* fix sigmoid error

* fix bug

* add infershape and forward yaml

* add final_state call

* add base unittests

* add backward yaml and test

* fix without softmax test error

* add cross_entropy test

* Add yaml for reduce_sum OP

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix CI errors