* Add FasterTokenizer Operator (#34491)

Add Tokenizer related functionalities for Transformer model in order that the process of training and predicting is consistent.

* support the text string as an input Tensor
* support the "VOCAB"unordered_map<wstring, int> as an input Tensor to lookup tokens
* Tokenizer used for BERT. This tokenizer applies an end-to-end, text string to wordpiece tokenization.
* It first applies basic tokenization, followed by wordpiece tokenization.

* optimize fast tokenizer

* remove const_cast
Co-authored-by: Nzhoushunjie <zhoushunjie@baidu.com>
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* 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

* delete include framework.pb.h

* fix error

* use iwyu clean include second time, test=develop

* use iwyu clean include, test=develop, test=win

* compilation error, test=develop

* fix compilation error2, test=develop

* fix compilation error3, test=develop

* fix compilation error4, test=develop

* fix compilation error5, test=develop

* fix compilation error6, test=develop

* fix compilation error7, test=develop

* fix compilation error8, test=develop

* fix compilation error8, test=develop

* fix compilation error10, test=develop

* fix compilation error11, test=develop

* polish framework error meg part2

* polish details

test=develop

test=develop

refine gc code
test=develop