* fix eval_if_exist_else_none bug

* fix typo

* fix typo

* fix test_op_num unittest

* [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>

* fix error message & label check in softmax_with_cross_entropy

* fix error message & label check in softmax_with_cross_entropy

* fix print comment

* fix ignore_index check in softmax_with_cross_entropy

ATT，cherry pick PR #29260

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

* fix code style in nn/functional/loss.py, test=develop

* fix code style in nn/functional/loss.py, test=develop

Change-Id: I6210ce9c60bed48f3323c47b16500302b66cedf2

* Use correct master weights in AdamW.

* Just modify the master weight.

* Update for CI Coverage.

cherry-pick #31068

* fix a bug of Sequential::__getitem__, test=develop

* add get_cublas_handle() api

* update format

* add unittests

* alter function name

test=document_fix

Cherry-pick double grad for clip

* fix entry

* fix distributed lookup table fuse case

* fix entry bug at first time

* move entry from paddle.fluid -> paddle.distributed

* fix ut with paddle.enable_static()
Co-authored-by: Nmalin10 <malin10@baidu.com>
Co-authored-by: Nmalin10 <malin10@baidu.com>

* 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

ATT, cherry-pick #31136

[CustomOp] New custom operator extension mechanism in 2.0.1

Cherry-pick New custom operator basic implementation related PRs

paddle.save/static.save指定pickle版本参数protocol(2<= pickle_protocol <=4)，默认pickle_protocol=2。
原始PR：#31044

[BUG FIX] Fix softmax cross entropy overflow problem.

Cherry-pick of #31051 and #31082

* [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>

ATT, cherry pick of #31132

* A fix for oneDNN matmul kernel. Fixes issue #30309 (#30723)

* A fix for #30309 with oneDNN 1.6

* test=develop, save/load, shrink
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>
Co-authored-by: N123malin <malin10@baidu.com>

test=document_fix

* change reviewer, test=document

Change-Id: I7592ee5c93bd580300ce39df885b603597b09026

* Update check_file_diff_approvals.sh

test=document_fix

* add  parameter in roi_align op

* fix compatibility of ops

* fix op test & cpu kernel

* fix JaccardOverlap in nms

* bug fix of xpu lite engine, test=develop

* xpu zero copy tensor, test=develop

* revert paddle/fluid/inference/tests/api/CMakeLists.txt

* fix dataloader collate return list mix tensor and numpy array. test=develop

* remove numpy array check in single-process dataloader. test=develop

* Add Support for Tuple in for Loop (#30998)

Dy2stat didn't support tuple as iteration variable in the past. This PR added there main cases:

       1). Non-enumerate case: for var1, var2 in var|var.numpy() will be re-written as:
          for FOR_ITER_TUPLE_PREFIX_x in var | var.numpy():
            var1 = FOR_ITER_TUPLE_PREFIX_x[0]
            var2 = FOR_ITER_TUPLE_PREFIX_x[1]
        2). Enumerate out tuple case: for t in enumerate(var|var.numpy) will be rewritten as:
          for FOR_ITER_TUPLE_INDEX_PREFIX_x, FOR_ITER_TUPLE_PREFIX_x in enumerate(var|var.numpy):
            t = (FOR_ITER_TUPLE_INDEX_PREFIX_x, FOR_ITER_TUPLE_PREFIX_x)
        3). Enumerate inner tuple case: for i, (var1, (var2, va3)) in enumerate(var|var.numpy()) will
        be re-written as:
          for i, FOR_ITER_TUPLE_PREFIX_x in var | var.numpy():
            var1 = FOR_ITER_TUPLE_PREFIX_x[0]
            var2 = FOR_ITER_TUPLE_PREFIX_x[1][0]
            var3 = FOR_ITER_TUPLE_PREFIX_x[1][1]

* Refine fake_interface Error Message (#30981)

Refine fake_interface Error Message