* add trt error information.

* rerun ci

As the title, see details at the PR description.

* change exit code and summary style

* disable test_ernie_text_cls on windows

* [NPU] Add log_loss op

* [NPU] Add log_loss op

* [NPU] Add log_loss op

* [Op Def] Add extra def of linear_interp & linear_interp_v2

* [Op Def] Add extra def of linear_interp & linear_interp_v2 & addmm

* update ernie int8

* tmp

* Tile - Assign - Crop

* Finish the set value npu kernel and test case in npu

* improve the error message

* Modify according to zhangliujie

* code review

* notest;test=cpu_gpu

* notest;test=cpu_gpu

* notest;test=cpu_gpu

* notest;test=cpu_gpu

* notest;test=cpu_gpu

* notest;test=cpu_gpu

* notest;test=cpu_gpu

* fix

* fix

* Abstract GenerateDeviceEventFlag to shield platforms

* Remove get_cuda_flags

* add maxunppol2d op, test=develop

* fix typo, test=develop

* fix unpool unitest, test=develop

* fix unpool code-example, test=develop

* fix for unpool_op_unittest,test=develop

* fix example code, test=develop

* add noqa:F401, test=develop

* fix converage, test=develop

* fix unitest for unpool, test=develop

* rename unpool2d to unpool, test=develop

* rename unpool2d to unpool, test=develop

* sparse_momentum_op is used to save w@GRAD memory for gather_op when gather from a large parameter

* Add calculation for gru op

* Correct the types

* Remove mkldnn only

* Correct mkldnn ifdef

* Remove mkldnn ifdef

* Separate mkldnn quantizer test

* Correct Windows test

* Check different cmake fix

* Revert cmake change

* Cmake change 2

* Cmake change 3

* add CPUDeiveEvent

* Polish DeviceEvent code

* Add DEVICE_EVENT_LIBS

* add elementwise max grad op for npu

* add elementwise max grad op for npu

* add elementwise max grad op for npu

* add elementwise max grad op for npu

* add elementwise max grad op for npu

* polish the error message of paddle.slice.

* polish code.

This reverts commit ac33c0ca.

[oneDNN] disable caching oneDNN primitives in  matmul v2, Reduce grad and elementwise_add grad, expand_v2 (#35132)

* - grad caching disabled of matmul_v1

- compilation fix

- compilation fix

* - reduction removed

* - Matmul v2 disabled caching

* Draft of further changes

* - workaround for reducegrad

* - fixes to UT

* - fix to compilation

* - another fix

* - fix

* add dlpack api and fix a from_dlpack 

* fix assign bug support fp16 uint8

* fix dygragh assign bool bug

* modify code style

* revoke bool modification

* gc for newexecutor, test=develop

* refine, test=develop

* add interpretercore_gc_helper.h,test=develop

* backup

* gc whit thread and device_event, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* fix bug, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* add CheckGC, test=develop

* Support dropout backward in eval mode

* add downscale case

* minor fix

* minor fix

* polish code

* polish code.

* polish code.

* polish code.

* polish code.

* Modify into QueueSync QueueAsync

* fix complie on MacOS

* fix pointer

* fix conflict

* polish unittest

* fix windows fetch error

* polish code according reviewer

* fix device_guard on CPU place

Describe

Add feed_forward for fused attention op.
(1) Encapsulate matmul impl (forward and backward) used in attention op.
(2) Implement bias_add (forward and backward) used in attention op.

* add api

* temp save

* revert

* copytocpu async ok

* fix style

* copy sync ok

* fix compile error

* fix compile error

* api done

* update python async api

* fix compile

* remove async python api; add c++ async unittest

* remove python async api

* update unittest

* update unittest

* add C++ unittest for copytensor

* add unittest

* update namespace utils to class TensorUtils

* add unittest

* update unittest

* update unittest

* update code style

* update code style

* update unittest

* add_roi_align_npu

* update

* update

* update