* Optimize the kernel implementation of layernorm with openmp (#20895)

* Add ernie c++ inference test (#21015)

* Add ernie unit test
test=develop

* Add ernie unit test
test=develop

* Add ernie unit test
test=develop

* remove ngraph

* optimize gpu test
test=develop

* optimize codes
test=develop

* fix cmake fails on inference_download_and_uncompress (#21185)

* solve cmake fails on inference_download_and_uncompress
test=develop

* solve cmake fails on inference_download_and_uncompress
test=develop

* Add fc padding to improve mkl GEMM's performance when N and K are multiple of 128. (#20972)

* Add fc padding to solve mkl performance
test=develop

* fix gpu pass and error information
test=develop

* fix fc_fuse_pass_test
test=develop

* fix error information
test=develop

* fix error information
test=develop

* fix name and add fc op padding test
test=develop

* fix attributes
test=develop

* optimize fc padding
test=develop

* fix test
test=develop

* Polish the codes of fc when needs padding (#21378)

test=develop

* Add ernie large c++ inference test (#21365)

* add ernie-large test
test=develop

* add ernie large c++ inference test
test=develop

* Modify padding strategy: remove weight copy in fc padding (#21650)

test=develop

* optimize fc jit (#21878)

test=develop
Co-authored-by: NYihua Xu <yihuaxu@hotmail.com>

* Refine the codes related to fc op.

* Add GPU implementation for fc functor.

* Apply fc_fuse_pass in GPU inference.
test=develop

* Change the cmake for fc op.

* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.

* Add an attribute to set the activation type in fc_op.

* Enhance the unittest of fc_op.
test=develop

* Remove the declaration of FCOpGrad back to the header file.
test=develop

* Set default value for newly added arguments in test_fc_op.
test=develop

test=develop

There are mainly following fixes:

- take `DeviceContext` as the template parameter of math functors and OpKernel instead of `Place`
- remove `eigen_device` interface in base class  `DeviceContext`
- remove `GetEigenDevice` interface in `ExecutionContext` and base class `DeviceContext`
- remove unused `platform::EigenDeviceConverter`
- rename `REGISTER_OP_GPU_KERNEL` to `REGISTER_OP_CUDA_KERNEL`
- rename `USE_GPU_ONLY_OP` to `USE_CUDA_ONLY_OP`