Co-authored-by: NWojciech Uss <wojciech.uss@intel.com>

* Register op version for grid_sampler, test=op_version (#29916)

* add op version for fake_quant and fake_dequant ops, test=op_version (#29923)

* Register op version for print, test=op_version (#29945)

* add gru op_register_version; test=op_version; (#29931)

* Register op version for coalesce_tensor. (#29940)

* register op version for conv2d_transpose, conv3d_transpose and depthwise_conv2d_transpose, test=op_version (#29937)

* add op_register_version for allclose op; test=op_version (#29968)

* register ModifyAttr for instance_norm, test=op_version (#29938)

* add op_version for flip op [test=op_version] (#30019)

* add the op version check for the elementwise ops, test=op_version (#30010)

* add the support the op version check for matmul, test=op_version (#30011)

* Revert "register ModifyAttr for instance_norm, test=op_version (#29938)"

* add REGISTER_OP_VERSION for generate_proposals, roi_align, roi_pool test=op_version (#30034)

* Fix rank_attention op_version, test=op_version (#30006)

* fix rank_attention, test=op_version

* Register op version for linspace,test=op_version (#30025)

* fix op_register_version for compare ops, test=op_version (#30007)
Co-authored-by: Nzhoushunjie <zhoushunjie@baidu.com>

* register ModifyAttr for instance_norm, test=op_version (#30065)

* register instance norm, test=op_version

* add trace op_register_version and fix version bug; test=op_version (#30000)

* fix a bug in op_version_registry, test=develop, test=op_version (#29994)

* Add version checking, test=op_version (#30129)

* fix a bug in gaussian_random_op version, test=release/2.0
Co-authored-by: NLielinJiang <50691816+LielinJiang@users.noreply.github.com>
Co-authored-by: Ncc <52520497+juncaipeng@users.noreply.github.com>
Co-authored-by: NQi Li <qili93@qq.com>
Co-authored-by: NJack Zhou <zhoushunjie@baidu.com>
Co-authored-by: NGuo Sheng <whucsgs@163.com>
Co-authored-by: Nwangxinxin08 <69842442+wangxinxin08@users.noreply.github.com>
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>
Co-authored-by: NFlyingQianMM <245467267@qq.com>
Co-authored-by: Nceci3 <ceci3@users.noreply.github.com>
Co-authored-by: Nhutuxian <hutuxian2011@sina.cn>
Co-authored-by: Nchalsliu <45041955+chalsliu@users.noreply.github.com>
Co-authored-by: Nwangguanzhong <jerrywgz@126.com>
Co-authored-by: NShenLiang <shenliang03@baidu.com>
Co-authored-by: Nyinhaofeng <66763551+yinhaofeng@users.noreply.github.com>
Co-authored-by: Nchannings <chenlingchi@baidu.com>
Co-authored-by: Nchentianyu03 <chentianyu03@baidu.com>
Co-authored-by: Nruri <shipeng1108@163.com>

* reduce the  occupied size  of memory for the fused pattern of elementwise_add Op and activation Op(relu Op for example) (#29885)

* register OPMaker and Infer Shape Check for fused_elementwise_add (#30259)

* complex gradient matmul  (#29966)

* dot op support complex types

* matmul support complex types

* add test case

* matmul broadcast gradient support complex

* move conjFunctor to complex_functor.h

* change the kron gradient when complex types (#29995)

* type promotion for grad (#30177)

* type promotion for grad

* add type promotion for div op

* elementwise_add_grad Op optimization  (#29575)

* optimize for long width for elementwise (#29602)

* refine (#29622)

* delete the code for fp16 optimization because it is not faster than common template code (#29715)

* fix the shape choose of vectorize for cuda

* optimization for fp16 elementwise add (#29744)

* Fix the compiler error for half type (#29799)

* refine the compiler error for half2 operation (#29816)

* fix the compiler error when gcc4 cuda9.0 (#29997)

* add aarch64 and sunway kunlun lib

* minor

* optimize elementwise_add for kunlun

* update kunlun dependence

* minor

* minor

* Improve performance of elementwise_add grad op (#29187)

* pass stop_gradient for cast op

* improve performance of elementwise_add grad

* use tensor copy async

* dygraph branch

* fix dygraph branch

* add ut

* make gelu fp16 computing more robust (#29484)

* Add fast path for dropout when p == 0  (#29553)

* add fast path for p == 0 in dropout

* add ut

* [Complex] Add support for complex grad accumulated (#29889)

* add support for complex grad accumulated

* add unittest for coverage

* update test dtype

* remove useless blank line

* [Complex] Handle complex to real after type promotion (#29855)

* try to add fwd op input dtypes

* refactor base impl

* return tmp_ins after dygraph prepare data

* fix typo found in debug

* polish comment & add complex net test

* revert detail change

* fix unittest failed

* add complex kernel condition control

* fix xpu test failed & polish comment

* polish details by review comments

* Complex op test (#29753)

* delete no need to calculate inputs in dygraph op_test

* delete no need to calculate inputs in dygraph op_test

* change grad elementwise_mul for complex types (#29757)

* add conj op for complex types

* add conj for complex types

* add more test case

* add conj_op test

* modify conj api and impl

* add complex type for fill_constant_op xpu

* add setConstant for complex type

* remove complex conj test file

* user define grad for test_conj_op

* add test case for static mode of conj api

* modify conj doc

* change input args name to x

* remove useless codes

* conj support real types

* add conj test case for real number

* delete no need to calculate inputs in dygraph op_test

* delete no need to calculate inputs in dygraph op_test

* modify grad of mul for complex types

* fix the grads of inputs args order not match bug

* change the grad of div when complex types (#29804)

* change the grad of div when complex types

* fix the grads of inputs args order not match bug
Co-authored-by: Nchentianyu03 <chentianyu03@baidu.com>

* add deformable_conv op on xpu (#29234)

* rebase develop

* update deformable_conv op on xpu

* update deformable_conv op on xpu

* update kunlun conv2d/softmax/elementwise implemetation (#29229)

* update conv2d & softmax to new xpu api
* test=kunlun

* remove useless comments
* test=kunlun

* remote softmax xpu op
* test=kunlun

* update kunlun softmax
* test=kunlun

* update xpu unitest
* test=kunlun

* fix elementwise_grad bug for kunlun
*test=kunlun

* support global pooling for kunlun (#29293)

* test=kunlun

* update reduce_sum op on xpu (#29367)

* update reduce_sum op on xpu

* update reduce_sum op on xpu

* support running on xpu

* fix expand/uniform_random && concat/transpose to new api on xpu (#29280)

* fix expand && concat/transpose to new api

* update uniform_random_op

* update xpu_header

* 1. fix elementwise ops'bug 2. fix softmax_with_cross_entropy_op 3. add biliner_interp_op (#29448)
Co-authored-by: Nroot <root@bjhw-sys-rpm0223.bjhw.baidu.com>
Co-authored-by: N卖鱼的哲学 <tangzhiyi11@users.noreply.github.com>
Co-authored-by: NQingshuChen <qingshu.chen714@gmail.com>
Co-authored-by: Ntaixiurong <taixiurong@126.com>
Co-authored-by: Nroot <root@bjhw-sys-rpm0223.bjhw.baidu.com>

* basic impl of type promote

* add comment & another testcase

* fix complex bugs & support python op promote type

* fix failed unittests & polish code

* add unittest for coverage

* change to only promote complex type

* polish code details

* polish several comments

* add complex64 and complex128 type; add +-*/@ and slice opreator for complex types

* add test cases for complex elementwise, matmul and getitem unittest

* add test cases for complex types

* add test cases for complex matmul unittest

Fix ops doc for some ops 

Simple code clean up

* Add bf16 matmul, fc, elementwise add and mul

* Correct unit test

* fix error message,test=kunlun

* fix, test=kunlun

* test=kunlun;

Add elementwise XPU OP kernel for KUNLUN core, including (but still cannot process common broadcast):

    * elementwise_div op
    * elementwise_max op
    * elementwise_mul op (with grad op)
    * elementwise_sub op (with grad op)

* 0.05->0.01

* add xpu error message description;test=kunlun

Add elementwise XPU OP kernel for KUNLUN core, including (but still cannot process common broadcast

* support elementwise add, activation, matmul on Baidu Kunlun
* test=kunlun

* minor
* test=kunlun

* reconstuct the xpu directory
* test=kunlun

* minor
* test=kunlun

* minor
* test=kunlun

* minor
* test=kunlun

* minor
* test=kunlun

* minor
* test=kunlun

* use iwyu clean include, test=develop, test=win

* compilation error, test=develop

* fix compilation error2, test=develop

* fix compilation error3, test=develop

* fix compilation error4, test=develop

* fix compilation error5, test=develop

* fix compilation error6, test=develop

* fix compilation error7, test=develop

* fix compilation error8, test=develop

* fix compilation error8, test=develop

* fix compilation error10, test=develop

* fix compilation error11, test=develop

* support use add instead of sum to do gradient accumulation

* add inplace addto pass

* add grad_add op and inplace addto pass

* remove debug code

* code refine

* fix bug when sereral sum ops inserts at same op_idx

* fix Flags type

* add addto attribute for conv3d

* fix ut

* code clean

* fix type

* fix floordiv

update the error message check for the some ops

* - introducing oneDNN 1.6

test=develop

* - Removed redundant code

test=develop

* fix remainder, floordiv

As the title

* add div, floor_div, remainder

* add unchaged infershape function

* add broadcast infershape function

* fix bug

* rename infershape functions

* add UnaryOpUnchangedInferShapeCheckAxis

* add error message

* add test for common infer shape functions

* dont update existed ops

* dont update op_desc.h

* add more test

* add error check, refine error message

* Add the max, min, maximum, minimum api for the API 2.0, test=develop

* Change use_quantizer attribute name and data type

* Fix problem with setting attribute

* Add changes due to review

* Small change in function

* Restore use_quantizer attr for compatibility

test=develop

* Start implementing int8 eltwise add

test=develop

* - Fix to Michal PR

* - Fix

test=develop

* - Lint fixes

test=develop

* - Added checking if elementwise_mul can be used

test=develop

* - Added attribs to skip_attrs_set

test=develop

* - Improved broadcasting

test=develop

- fixes to compilation

- fix

- fix

- Lint fixes

test=develop

* - removed redundant condition

test=develop
Co-authored-by: NMichal Gallus <michal.gallus@intel.com>

test=develop