* dlpack eager, test=develop

* eager test_base_layer, test=develop

* fix error report, test=develop

* eager _getitem_from_offset, test=develop

* refine, test=develop

* refine offset, test=develop

* add test_inner test_outer, test=develop

* refine, test=develop

* refine, test=develop

* Optimize the perf of top_k when k is too large

* fix rcom compile

* fix

* only compile in cuda

* fix log info

* swish and pow op for xpu. test=kunlun

* fix code style. test=kunlun.

* use pow_grad xdnn api. test=kunlun.

* suppor inplace in tensor_method_setitem

* delete bump_inplace_version

* optimize inplace unittest

* fix

* fix setitem bug

* update eager_generator

* optimize inplace unittest

* little change

* refactor code auto-gene for no_need_buffer

* fix some bug

* delete test code

* fix pad3d infermeta bug

* add check for construct ScalarArray

* change to new api in ssync mode

* fix

* fix

* fix

* fix

* support view strategy in eager_final state

* perfect reshape kernel

* fix bugs of sig

* add unittest for reshape_sig

* fix bugs when run converage

* fix inplace bug in final_state eager_gen

* fix python_c_gen

* support view strategy for final state

* fix order of out and xshape in reshape

* fix Coverage_CI unittest timeout error

* support reshape view

* fix reshape_sig

* fix yml and api_base
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* Supported Complex2Real Conversion for Eager Dygraph

* Supported Complex2Real Conversion for Eager Dygraph

* Enabled complex type promotion test for matmul_v2

* pylayer, test=develop

* Fix CI issues

* Support initializing specific grad tensors to zero for selected operators

* finish forward, test=develop

* create grad node finish, test=develop

* Merged adj_edges_ with GradSlotMeta

* Fixed monir issue

* backward finish, start dbg, test=develop

* Adjusted num runs

* Recovered Eager performance tests configurations

* Recovered Eager performance tests configurations

* finish, test=develop

* polish, test=develop

* polish, test=develop

* refine, test=develop

* eager, test=develop

* Adjusted performance tests configurations

* Fixed Minor Issues with performance tests

* [Phi] Fix macro name typo

* support set_materialize_grads, test=develop

* suppotr mark_non_differentiable, test=develop

* support once_differentiable, test=develop

* refine, test=develop

* refine, test=develop

* Moved out Edge from GradSlotMeta

* Fixed issues from merge

* Fixed typo

* Addressed review comments

* Fixed merge issues

* Fixed minor issues

* Fixed minor issue

* refine, test=develop

* refine, test=develop

* refine, test=develop

* Fixed major issues and enabled auto_prune test cases

* Fixed issues from merge

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* add random routing op

add _random_routing api in utils

add random routing ut

* # This is a combination of 10 commits.
# The first commit's message is:
add expert count op

add ut for expert_count

# This is the 2nd commit message:

update UT only for cuda

# This is the 3rd commit message:

fix for rocm

# This is the 4th commit message:

update ut

# This is the 5th commit message:

add moe module

# This is the 6th commit message:

add expert count op

add ut for expert_count

# This is the 7th commit message:

update UT only for cuda

# This is the 8th commit message:

update ut

# This is the 9th commit message:

add moe module

# This is the 10th commit message:

make expert count private

* add assign pos op

* fix upper num name

* add api _assign pos

* add ut for assign pos op

* update date

* add op about moe gate

update utils

add limit by capacity op

add ut for limit_by_capacity

add ut for prune_gate_by_capacity

add ut for limit_by_capacity

add ut for prune_gate_by_capacity

* fix for win

* fix bugs in test_limit_by_capacity_op

* update ut

* update for test (timeout)

* fix ut

* update

* update(fix) ut for win

* moe apis in incubate

* # This is a combination of 10 commits.
# The first commit's message is:
add expert count op

add ut for expert_count

# This is the 2nd commit message:

update UT only for cuda

# This is the 3rd commit message:

fix for rocm

# This is the 4th commit message:

update ut

# This is the 5th commit message:

add moe module

# This is the 6th commit message:

add expert count op

add ut for expert_count

# This is the 7th commit message:

update UT only for cuda

# This is the 8th commit message:

update ut

# This is the 9th commit message:

add moe module

# This is the 10th commit message:

make expert count private

* add assign pos op

* fix upper num name

* add api _assign pos

* add ut for assign pos op

* update date

* fix for win

* update for test (timeout)

* fix ut

* update

* fix ut for number count

* add apis and utils

* add gate apis

* add moe and grad clip apis

* update moe apis

* add ops for moe gate

* fix

* update for base moe layer api

* add random routing op

add _random_routing api in utils

add random routing ut

* fix for dygraph

* update with ranodm routing

* update

* fix ut for limit by capacity

* update
Co-authored-by: Nhlygit66666 <2570058140@qq.com>

* add elementwise sub and elementwise div in tensorrt op teller

* add unittest of elementwise mul, sub and div

This reverts commit 9c0eaada.

This reverts commit b532315d.

* Fix test_reinforcement_learning.py for eager run_program OP

* Add comment

This reverts commit e77a947e.

* [Phi] trans logsumexp op

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* add sig

* fix sig bugs

* fix sig bugs

* fix xpu bugs

* fix review bugs

* test=develop

* mv floordiv to phi

* mv elementwise_pow to phi

* fix as review

* Use _C_ops.yolov3_loss in eager mode for test_yolov3.py

* fix code for test_yolov3_loss_op

* remove useless import

* Fix dygraph_mode flag

[DoubleGrad PR #2] Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition (#41016)

* [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

* Fixed minor issue

* move momentum, rmsprop to phi; test=develop

* update

* update

* update

* update

* udpate; test=develop

* fix xpu npu bugs; test=develop

* fix npu bug; test=develop

* fix windows compile error; test=develop

* fix windows compile error; test=develop

* polish code; test=develop

* fix conflict; test=develop

* add meshgrid;

* update

* polish code

* polish code;

* fix bug

* format; remove useless code

* fix npu bug

* fix bug

* update

* add forward case

* update

* update; test=develop

* add some grad kernel; test=develop

* move gpu kernel; test=develop

* update

* update;

* update test;

* fix selected rows bug;

* add mix vector include ;

* add mixed vector depen; test=develop

* add logit grad signature;

* polish code

* fix bug;

* add namespace for abs

* revert code

* not move softsign

* revmove duplate register;

* fix softsign bug

* polish code

* format

* format

* fix bug

* remove cmake dep

* add square sqrt selected rows support

* update

* remove clip norm

* add standalone executor sqrt dep

* standalone exec denp sqrt

* remove sqrt op in cmkaelist

* open some case

* fix dependency

* reduce warnings

* trainer and worker

* delete commonsparsetable from gpups

* delete vlog

* codestyle

* delete communicator from gpups

*  add FP16 Pass 

* Support the auto completion of while_op

*  acc aligned

* no

* fix bugs

* fix doc according to review

* fix api doc format

* fix api doc according to review

* fix bug and add unit test

* fix record event bug

[DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes (#40937)

* [Refactor] refactored eager_gen.py PR #2

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

* Fixed minor issue

* remove in_dtype, out_dtype in redcue grad

* set the dtype and layout in noneedbufferInputs func