* enable new executor by default

* enable stream safe allocator

* test=document_fix;test=coverage

* do not use scope in op kernel

* fit empty program for new executor

* fix communication depend

* fix test_sync_batch_norm

* skip unsupported place

* refine datatransfer

* fit for dirtributed program

* fix dependencpy

* fix some ut

* support inplace no_need_buffer

* fix

* use padle.add

* eager test var base

* refine, test=develop

* update

* fix bug

* 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

* remove some interface

* fix

* remove

* code style

* recover

* fix

* remove code unused

* fix

* recover

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

* [Eager]Fix tile API final_state bug

* fix backward bug

* [Dygraph] Support sparse tensor in refactored reducer

* add uts

* refactor

* update

* fix 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

* [Eager]Polish enable/disable_legacy_dygraph logic

* Support _offset in eager mode

* Update framework.py

* Update framework.py
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* DRY

* change nodes names

* add const prefix

* change asX to as_x in all files

* add dropout slice yaml

* remove useless code

* fix infer shape error

* skip infrt compile for dropout

* fix eager gen opti bug

* polish code

* fix some bug

* fix some bugs;

* [Eager] support tensor uva, test=windows_ci

* Add headers to fix CI, test=windows_ci

* Expose _uva python interface, Fix windows ci issue

* support scale final state

* fix inplace error

* pass arg directly

* pass arg directly for inplace api

* fix type

* 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

* do not mutabledata when init, test=develop

* refine, test=develop

* fix copy_, test=develop

* refine, test=develop

* add some infer meta

* fix bug

* fix bugs;

* fix bug and add set data type

* revert infer shape of lookup table

* recover test

* limit grid dim for index select

* mv LimitGridDim into gpu_launch_config.h

* fix conflicts

* fix conflicts

* fix code style

* set block to 256

* fix grid setting

* set dtype of block_dim to unsigned int

* [Eager]Enhance eager_trace_op logic to support Optimizer Op

* fix AsDispensable

* [Eager]Fix 17 unittest and open check_eager=True

* remove print

* fix unittests

* fix op_testa

* fix coverage CI failed

* fix ci

* add randperm and range yaml

* add eager test for randperm

* Update ResNet test cases

* [Eager] Support uva, adamax, fill_diagonal_, to_list and so on.

* Fix CI

* Updated CUDA defined statement

* Fix CI

* Update headers, Fix CI

* Remove useless setting

* Updated func name to Fix windows-CI

* Remove tensor uva related codes

* Remove uva related code

* recover original test

* [Eager]Fix eager no take effect problem

* add element_wise and fix greater_than

* 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

* 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

* delete function

* fix bug

* update name

* fix bug in strategy

* [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>