This PR adds fused transformer related files defining c interface including class, function etc..

* Fix safety-bug of functional.linear

* Fix safety-bug of functional.linear

* Fix safety-bug of functional.linear

* Fix safety-bug of functional.linear

* [NPU] Support npu op expand_v2 and expand_v2_grad

* [NPU] Support npu op expand_v2 and expand_v2_grad

* [NPU] Support npu op expand_v2 and expand_v2_grad

* update test_expand_v2_op_npu.py

* update test_expand_v2_op_npu.py

* modify expand_v2_op_npu.cc

* modify expand_v2_op_npu.cc

* - Added softmax without caching

* - Binary is no longer manually cached

* - Activation onednn caching removed

* - Removed manual caching of activation

* - modified UT

* - fix

* - fix

* - fixes to building

* - fix

* - fix

* - fix to UT

* - Faulty UT workaround

* - approval workaround

* - Fixes after review

* - compilation fixes

* - more lint fixes

* - more fixes after review

* - fixes after another round of review

* add set_value_grad op

* add unittest.

* polish unittest.

* polish code.

* support cuda kernel

* polish code according to CI

* polish code.

* polish code

* remove *.pyc

* polish code.

* add unittest to improve coverage.

* polish code.

* add while read_from_array write_to_array npu op

* optimize unittest

* add momentum_op_npu and test

* update

* fix hang

* add reduce_mean_op_npu and test

* remove skip.If

* update

* add batch_norm_op_npu and tests

* remove skip.If

* fix bug

* add exp and exp_grad npu op

* modify support register type

* remove empty line and remove exp_grad support data type int/int64

* move exp and epx_grad kernel to activation_op_npu.cc, delete attrs

* move code to activation_op_npu.cc

* Add NPU kernel for TopKV2 op

* deleted unnecessary cache file static_mode_white_list.cpython-37.pyc

* A draft for error checking

* A commit with accuracy error for float32 data

* Modify codes according to the review comments

* Modify codes according to the review comments

* fix npu compile error, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* [NPU] Support npu kernel for flatten_contiguous_range op, test=develop

* Update flatten_op_npu.cc

* Update flatten_op_npu.cc
Co-authored-by: Nqili93 <qili93@qq.com>

添加Kernel primitives api： ReadData, WriteData ComputeFunctor

* [NPU] add squared_l2_norm squared_l2_norm and tests

* [NPU] replace Square&ReduceSumD with SquareSumV1

* Support npu kernel for fill_any_like op

* modify the description of exception

* remove useless template element

* remove useless decorator

* fix the code format error

* fix npu compile error, test=develop

* add fill constant batch size lilke op npu,test=develop
Co-authored-by: Nqili93 <qili93@qq.com>

* fix for div zero

* fix err;test=develop

* fix lod

* Support npu kernel for tile op

* modify according to the comments

* fix compute function

* Support npu kernel for expand_as_v2 op

* mofify the registry data type name

* fix test unit

* fix npu compile error, test=develop

* fix compute function
Co-authored-by: Nqili93 <qili93@qq.com>

* Fix error of HSigmoidLoss

* update unittest

* update unittest

* add one_hot_op and tests

* update

* make code clear

* add broadcast supporting for elementwise_add

* add broadcast supporting for elementwise_add

* add more tests

* remove the redundant code

* update

* fix place error in unittest

* remove skip.If

* fix npu compile error, test=develop

* [NPU] Support npu kernel for atan and atan_grad op, test=develop

* [NPU] Support npu kernel for atan and atan_grad op, test=develop
Co-authored-by: Nqili93 <qili93@qq.com>

* [NPU] add reduce_prod

* [NPU] delete check_dygraph=False

* [NPU] delete skipIf

* add attrs support or check

* [NPU] delete extra codes for test_reduce_max_op_npu

* [NPU] add attr out_dtype

* add eye npu op

* remove useless headers

* code style

* Update eye_op_npu.cc

* Update eye_op_npu.cc

* remove useless code in test file

* code style check

* change Copyright to 2021

* add test case and do some fix

* fix

* update code

* fix for CI

* return

* fix

* [NPU] Support npu op: (1) cos (2) cos_grad

* Update test_cos_op_npu.py

* Update activation_op_npu.cc

* rm redundant {1}