* polish truncated normal kernel

* add yaml

* add truncated normal kernel and add yaml

* polish unittests and yaml

* import dygraph mehtod

* 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

* add dropout slice yaml

* remove useless code

* fix infer shape error

* skip infrt compile for dropout

* add concat_grad kernel

* fix error

* remove comment code

* fix outs nullptr error

* change to phi header

* add concat_grad declare for standalone_executor_test

* add concat_grad yaml

* add concat api

* fix test concat op error

* fix test concat op error

* fix eager gen opti bug

* polish code

* fix some bug

* fix some bugs;

* add add_n infermeta

* forward run success

* add add_n grad yaml

* support scale final state

* fix inplace error

* pass arg directly

* pass arg directly for inplace api

* fix type

* Add yaml for flatten_contiguous_range OP

* update

* Fix typos
Co-authored-by: NShixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* gather op

* add mod

* add randperm and range yaml

* add eager test for randperm

* Add yaml config

* Add yaml for flatten_contiguous_range_op

* Remove h_sigmoid yaml

* Fix CI errors

* Fix code format

* Fix flatten OP errors

* Fix conflicts

* Fix CI errors

* Remove flatten_contiguous_range OP

* Remove redundant code

* Fix typos

* [Eager]Fix eager no take effect problem

* add element_wise and fix greater_than

* add yaml for ele_max ele_min

* add yaml for: mish / logexpsum / expm1 / elemenwise_pow / elementwise_floordiv

* 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic

* add python api or close the check_eager=True

* fix the compatibility