[Cherry-pick] Fix dtype unmatched in custom op API

cherry-pick of #31305

* modify custom op dependent from paddle_framework to paddle_custom_op (#31195)

* [Custom Op] Remove unsupport dtypes (#31232)

* remove remove_unsupport_dtype

* remove remove_unsupport_dtype

* remove test dtype

* add more include

* change dtype.h's enum as enum class to avoid conflict with inference lib

* make enum as enum class

* remove additional test

* merge develop

* polish code

* [Custom OP] Support stream set on Custom Op (#31257)

* [Custom OP] change the user header file format, test=develop (#31274)

* [Custom OP]add PD_THROW and PD_CHECK for User Error message (#31253)

* [Custom OP]add PD_THROW and PD_CHECK for User error message

* PD_THROW and PD_CHECK, fix comment

* fix Windows error message

* fix Windows error message

* fix CI

* [Custom OP]add MSVC compile check on Windows (#31265)

* fix test_check_abi
Co-authored-by: NZhou Wei <52485244+zhouwei25@users.noreply.github.com>
Co-authored-by: NJiabin Yang <marsyang199376@gmail.com>
Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
Co-authored-by: Nzhouwei25 <zhouwei25@baidu.com>

* [CustomOp] Add Modeling with Custom op unittest (#31218)

* add unittest for static/dygraph/dy2stat

* add PE unittet

* remove usless code

* add unittest in CMakeList.txt

* [CustomOp] Split build op marco & polish details (#31229)

* split build op marco & polish details

* revert register api del

* fix other unittest

* [CustomOP]Support Incremental compilation and Add Version management (#31228)

* Support Incremental compilation and Add Version management

* replace hash with hashlib

* fix test_op_num unittest

* Revert "fix test_op_num unittest"

This reverts commit 2f78de976e1d7ca60915b2310717b38a32ae204a.
Co-authored-by: NChen Weihang <chenweihang@baidu.com>

[Cherry-pick] The Second part of new custom op extension in 2.0.1

* added support for fake_quantize_dequantize_abs_max op in quantization inference pass

* remove const_cast to pass ci

* remove compare operator to pass ci-coverage

* added detailed error message for unregistered tensorrt_subgrah_pass

[CustomOp] New custom operator extension mechanism in 2.0.1

Cherry-pick New custom operator basic implementation related PRs

* [Kunlun] Add condition_variable and notify() in BindThreadedSSAGraphExecutor (#30586)

* [Kunlun] fix dead lock for exec_op_count_ (#30718)

* Fix the problem that the number of ops executed by xpu is wrong (#30961)
Co-authored-by: Nliuyuhui <liuyuhui@baidu.com>

* fixed compilation error on gcc 4.8.x due to the usage of isfinite (#30733)

* modified conv+bn fuse pass to fix wrong mask in mask rcnn (#30704)

cherry-pick #30536

Cherry-pick PR 30103. Add Inplace strategy (Output reuse Input Varbase) in dygraph (#30103) (#30496)

* add view strategy on squeeze,unsqueeze,reshape,flatten

* add squeeze unittest

* add unittests

* use View strategy as name rather than Reuse Allacation

* fix view api doc

* fix format

* use core.ops when input of reshape2 is Tensor

* fix test_cross_entropy_loss error because of reshape2

* fix test_cross_entropy_loss error because of reshape2

* add inplace strategy

* add elementwise_add sub

* let backward op not use inplace

* grad op do not use inplace

* fix memory increase error and add leaf error message

* delete selected_rows

* change op_function

* little change

* solve HandleViewBetweenInputAndOutput

* add unittest and leaf error message

* merge view error

* optimize op_function_generator format and support sum inplace op

* fix format of basic_engine

* fix format for framework

* little change of variable wrapper

* add reshape, squeeze, unsqueeze, scatter api

* add relu elu tanh softmax inplace api

* fix test_squeeze_op unittest

* fix test_relu_op unittest

* fix comment problems

* delete sample code of inplace api

* add reference of grad_pending_nodes in basic_engine

* fix unittest name

* add inplace apis into wlist

* fix error message

* add PADDLE_ENFORCE for set grad op twice

* fix head file error

Change-Id: I3c788e7576688e63181e7f01562529b85a09cc59

* 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>

* change to tensor copy sync

* change to tensor copy sync

* make copy_to safe when use TensorCopy

* refine code

* add ut

* add cudapinned garbagecollector

* add testcase: cpu place -> cuda pinned place

* Fix server.h include device_context (#30243)

* fix cmake
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>

* 【Paddle.Fleet】Support local save sparse param (#30175)

* add save tensor support
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>

* add sparse embedding & load vars for 2.0 & gloo bug fix (#30306)

* add sparse embedding & load vars for 2.0

Change-Id: I36b59ed5f015189dc9d9d2e34a9357722d369f1b

* fix hdfs gloo

Change-Id: Ia84d579053720ad804183e54c9a04b4f031c79c6

* fix gloo hdfs

Change-Id: I5ab982fd483cddc10adcdef0b8aa83aca976cb9e

* move loadvar/sparse embedding from incubute to static

Change-Id: I57081d3545ad2efab78c72420d2162c0eacaf3a0
Co-authored-by: Ntangwei12 <tangwei12@baidu.com>

* fix datanorm error msg (#30294)

* Optimize the error message of framework. (#30134)

* modify error message based on comments (#30189)

* modify error message based on comments

* edit code according to review.

* Correct spelling according to review.

* fix enforce msg of sum xpu op (#30113)

* enhance error info for py_func (#30138)

* enhance error info for py_func

* update

* fix elugradgrad test fail & error message opt (#30171)

* fix elugradgrad test fail and error message opt

* fix unitest,test=develop

* Update prroi_pool_op.h

fix error message

* opt message,test=develop

* fix ci fail,test=develop

* Refine PADDLE_ENFORCE Error Messages. test=develop (#30149)

Improve some error messages in parallel_executor.cc, conditional_block_op.cc, recurrent_op.cc

* enhance error message, test=develop (#30220)

* fix error message for distribute_fpn_proposals_op (#30116)

* enhance error msgs of fusion_seqpool_cvm_concat_op.cc, test=develop (#30240)

* just add the op error message for the matmul xpu (#30246)

 add the op error message for the matmul xpu

* enhance error message of nll_loss op test=develop (#30125)

* enhance error message of nll_loss op test=develop
Co-authored-by: Nyaoxuefeng <yaoxuefeng@baidu.com>
Co-authored-by: Nxiemoyuan <71377852+xiemoyuan@users.noreply.github.com>
Co-authored-by: NWeiXin <weixin10@baidu.com>
Co-authored-by: NJack Zhou <zhoushunjie@baidu.com>
Co-authored-by: NWilber <jiweibo@baidu.com>
Co-authored-by: NDouble_V <liuvv0203@163.com>
Co-authored-by: NHuihuang Zheng <zhhsplendid@gmail.com>
Co-authored-by: Nzhang wenhui <frankwhzhang@126.com>
Co-authored-by: Nwangguanzhong <jerrywgz@126.com>
Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>
Co-authored-by: Nlijianshe02 <48898730+lijianshe02@users.noreply.github.com>

[cherry-pick] use cuda generator in bernoulli cuda kernel (#30199)

* 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)

[Cherry-Pick] Support vector<double> as type of op attribute and op set_value suppport vector<double> as value (#30126) (#30305)

Cherry-Pick #30126
1. Support vector<float64> as type of op attribute.
2. op set_value suppports float64 numpy.array

[cherry-pick] Async drop scope in executor (#29714)

* Support pure fp16 training for AMP API. (#29544)

* add cast ops before and after unsupported fp16 ops.

* Keep partial net in FP32 pattern.

* Support check_finite_and_unscale and update_loss_scaling for FP16 calculation mode.

* Add fp16 support for adam op.

* add multi precision attr for adam.

* Fix the bug of test_multi_precision_fp16_train UT.

* Code format for CI.

* Fix the redefine error about MPTypeTrait on windows.

* fix bugs of the _create_accumulators func in Momentum.

* fix bug when inserting post cast op.

* Add the update_loss_scaling op in allow_set of UnusedVarCheck.

* Update for ci coverage.

* Add some doc for OptimizerWithMixedPrecision.

* Fix the code style.

* Imporve the doc of `amp_init`.

* Change for fp16 testing if users have the infer program defined in separate way.

* Remove tensor copy in the update_loss_scaling op. (#29426)

* remove tensor copy in the update_loss_scaling op

* not use thrust.

* fix some cuda memory access error.

* Optimization grad merge performance (#29784)

* [fleet] combine amp and gradient merge, test=develop (#30086)

* fix assign_op_xpu concat_op_xpu warining (#30120)
Co-authored-by: Nliuyuhui <liuyuhui@baidu.com>

* simplify prepared op impl to improve performance

* fix kunlun compile error

* continue fix kunlun compile error

* only transform diff place when dtype diff

* fix failed unittests

* remove useless file

* polish impl by review comment

[Cherry-Pick 2.0][Dynamic Inplace] Support ShareInplaceVersionCounterWith for C++ Tensor (#29842) (#30105)

Before this PR, SharePlaceHolderWith share Tensor between different C++ Variable, which meas sharing the data, shape, and inplace_version_counter_ of Tensor.
But in some cases, Sharing data and inplace_version_counter_ but not sharing shape is needed. For example, inplace op reshape, can't share shape.

This PR, discard SharePlaceHolderWith, and expose ShareInplaceVersionCounterWith for C++ Tensor.
This reverts commit b10ecd9d.

* Support ShareInplaceVersionCounterWith to share the same inplace version counter for VarBase

* add topo aware

* resource.h

* topo aware

* format

* update, test=develop (#29559)

* Disable gloo by default (#29805)

* update, test=develop

* update, test=develop

* [Kunlun] PR1:Support one Kunlun card training in parallel executor (#29337)

* [Kunlun] PR2: Support MultiDevicePass and BKCL in parallel executor (#29574)

* [Kunlun] bug fix of PR2: Support MultiDevicePass and BKCL in parallel executor  (#29926)

* add bkcl.so in whl for kunlun (#29947)

* [Kunlun] bug fix of PR2: Support MultiDevicePass and BKCL in parallel executor  (#29961)
Co-authored-by: NQingshuChen <qingshu.chen714@gmail.com>

* [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>