* Fix copy elision warning

* Remove redundand code

move variable UPLOAD_TP_FILE to the beginning or it cant be initialized when running build-whl task (#35895)

* split minimize() to step() + update()

* add unscale and step for grad_scaler

* add unittest

* refine code in minimize

* delete step in loss_scaler

* fix example bug

* refine comment

* refine unittest

* add unittest

* add randperm_op_npu

* fix test_set_value_op_npu

* Pass compat of conv_transpose_bias_mkldnn_fuse_pass

* Fix a bug of strided_slice op, about the axes parameter access memory out of bounds

* Fix a bug of transpose op, about accessing memory out of bounds of the perm param

* op:transpose_op supports bool type

Add new API : paddle.linalg.det & paddle.linalg.slogdet

API Alias：paddle.det& paddle.slogdet

* support ernie-int8 test and prune op attribute test

* remove using and use namespace

* remove macro and use shell instead

* Revert "remove macro and use shell instead"

This reverts commit 615964b149d7de7825b341936b42be22a4bc0091.

* fix grammar error

* fix shell error

* support nnadapter and ascend310

* modify code

* add anchor_generator convert test

* add gelu convert test

* add conv2d convert test

* modify anchor_operator convert test

* modify conv2d test

* modify con2d convert test

* modify conv2d convert test

* modify conv2d convert test

* modify conv2d test

* fix WITH_PYTHON compile error

* modify test file

* modify test file

* modify test file

* modify test file

* modify test file

* modify test file

* modify test file

* modify test file
Co-authored-by: Nxiaoxiaohehe001 <hiteezsf@163.com>
Co-authored-by: Njiweibo <jiweibo@baidu.com>

* fix feed, test=develop

* delete one test case, test=develop

* refine gc for new_executor, test=develop

* refine, test=develop

* refine, test=develop

* merge, test=develop

* Modify H2D and D2H as kQueue::Sync

* fix interface error

* support extern third_party lapack on Linux/Windows/Mac

* fix ci

* Create stateful OneDNNAXPYHandler object.

This makes it possible to call it multiple times without recreating the
oneDNN primitives every time.

* Prepare SGDOpKernel to reuse its implementation from OneDNN kernel.

* OneDNN SGD kernel.

* Update call to use new OneDNNAXPYHandler object api.

* Setup seed in proper place.

* Enable OneDNN kernel only for single case.

* For dense param and sparse grad.

* Small refactor.

* Enable oneDNN by op attr or by cmd line flag.

* Use int64_t type for number of elements.

* Support dense param and grad from OneDNN kernel.

* Enable SGD OneDNN kernel when use MP BF16 optimizer.

* Force non-copyable/movable OneDNNAXPYHandler.

* Reuse OneDNNAXPYHandler for spare tensors in SUM op.

* Fix SFINAE rules.

* Remove recording event inside AXPY.

* Get rid of internal primitive caching.

* Stop use PP cache mechanims to store mem and primitive obj.
* Handler obj store and reuse needed desc & prim

* Do not derive from MKLDNNHandlerT

* Optimization of pool2d grad, first commit.

* remove useless print codes

* refine codes

* refine codes

* seal more operation into template specialization

* fix template struct error in MaxPool2dGrad.

* Fix header including error

* refine code with comment

* Seal the param-preparation codes into function for common use.

* Seal the param-preparation codes into function for common use.

* Seal the param-preparation into funciton and make it common for other kernels

* polish code and erase useless template speicalization

* Rerun triger

* rerun trigger

Add basic Cost Model, it uses executor to run program and profile it to get op time.

This is an early basic version, we will add more functions in the future.

* fix bug

Change __init__.py to adapt the new FLAGS coding style and update CI to monitor FLAGS changing (#35849)

* change __init__.py to adapt new FLAGS

* test ci check, ready for revert

* split __init__.py and FLAGS approval

* Revert "test ci check, ready for revert"

This reverts commit bbbd2442fe3e948fef790ec634085a2431474326.