* Optimize CRF decoding with AVX/AVX2 instruction

* Enable the AVX2 flags for compiling

* Clean the code and decrease the count of multiply calculation

* Add the support of AVX512 instruction to optimize CRF Decoding

* Clean the code

* Enable the AVX512f flags for compiling

* Clean the code for the invaluable switch

* Fixed the issue to check AVX512F status

* Clean the code

* Add some explanation of the key points

* add rename guard

* add device_data_transform

* add device_data_transform_test

* modify GetExpectedKernelType

* update operator.run

* support test test_label_semantic_roles

* optimize code

* optimize code

* rename GetActualKernelType to GetExpectedKernelType

* fix chunk_eval_op and device_data_transform_test

* add is_same_place to place

* optimize code, refine rename_guard

* refine rename guard, add GetKernelTypeForVar

* optimize code

* add some log

* rename guard

* use sub scope to create var

* fix compile

* add IsInitialized for Tensor

* add VarIsTensor

* fix op_registry_test

* test

* tmp disable priority

* restore switch_kernel.md

* code clean

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`

* add crf_decoding layer

* fix some typo

* fix test_crf_decoding_op

* proj init.

* add unittest and implementation.