* 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

* fix count_api_without_core_ops, test=develop

* fix count_api_without_core_ops, test=develop

* refine, test=develop

* remove test code, test=develop

* remove test, test=develop

* modify check_api_approvals.sh, test=develop

* notest;test=model_benchmark_ci

* notest;test=model_benchmark_ci

* fix

* 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