* code

* code

* [Eager]Fix eager no take effect problem

* add element_wise and fix greater_than

* fix no pinned trans

* fix cond error

* Add graph_reindex API

* add graph_sample_neighbors api

* Add buffer

* delete VLOG

* delete thrust::copy for output

* add ShareDataWith

* delete graph_reindex hashtable output

* add graph_reindex dispensable

* add reindex unittest, move memset to cuda kernel, change api

* fix conflict

* add reindex buffer for gpu version note

* fix conflicts for op_func_generator

* Add fisher_yates sampling, add dispensable, change infermeta

* add dtype for edge_id

* fix rocm ci and static check ci

* add unittest

* fix unittest

* fix unittest

* fix bug

* add yaml for ele_max ele_min

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

* fix bug, test=develop

* refine, test=develop

* paddle inference support new quant_model

* move clip op to phi

* fix as review

* update hierarchical_sigmoid_kernel.cc

* update selected_rows

* update clip_kernel.cu

* fix as review

* enable new-executor on windows to test it

* add message

* fix ut

* delete function

* fix bug

* update name

* fix bug in strategy

* support test_create_paramter

* support fused_transformer_encoder_layer

* skip program_desc tracer related tests in eager mode

* fix ci tests on eager

* Add UT for full_like after migration YAML

* rename test class

* [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

* filter unsupported inputs for elementwise op in op teller

* add unittest for corner case

* [KP] fix bug in phi static graph mode

* modify the useless code

* update name

* update name

* fix test

* fix fleet bind

* update name

* update name

* fix test

* fix gpups wrapper

* remove Push/Pull/Load/Save with context in client and wrapper base class

* fix

* fix
Co-authored-by: Nesythan <esythan@126.com>

Co-authored-by: Nroot <root@yq01-sys-hic-k8s-v100-box-a225-0186.yq01.baidu.com>

* 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

Enhance vjp/jvp/Jacobian/Hessian API for supporting dynamic, static graph and batched, unbatched mode (#40692)

* modify vjp/jvp for both dynamic and static graph

* enforce jacobian class for supporting first/last batch

* add unittest for jvp, jacobian withlast batch, jacobian with first batch

* fix the incorrect shape when multi-index Jacobian

* enforce Hessian class for supporting dynamic graph

* add Hessian class unittest

* bugfix, jvp double_backward_trick zeros_like return stop_gradient=True in static graph

* add API beta warnnings

* add white_list for cuda11.x ci windows.

* optimize some code snippets and documments

* set unittest timeout to 100 seconds

* move vjp,jvp,Jacobian,Hessian to incubate

* fix vjp,vjp import path of sample code

* fix code style error of augtograd/__init__ file

new cuda arch compile method;test=document_fix;test=windows_op;test=windows_ci_inference;test=windows_ci (#41259)

* add nll_loss yaml

* fix nll loss

* fix nll loss bug

* fix bug

* fix bug

* fix infrt problem
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>