* add multihead_matmul trt converter test case

* move attribute check to op_teller

* add the shape check for the matmul

* remove the test case for the linear

* add align for WorkQueue

* WorkQueue update

* Revert "WorkQueue update"

This reverts commit 14ce793dbb204f8ddec63c34b3b72a73c7cdb93a.

* optimize WorkQueue

* add argmax and iou_similarity for kunlun

* add argmax and iou_similarity for kunlun

* add argmax and iou_similarity for kunlun

add pass_desc_py_proto depends

* 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