* fix embedding model weight type mismatch error

* Update fp16_utils.py

---------
Co-authored-by: NZhang Ting <zhangting_2017@163.com>

* update

* fix bug

* fix output type def

[inference Zero-Dim][trt] Add Zero-Dim tensor support for clip, cast, flatten_contiguous_range (#53769)

* [inference Zero-Dim][trt]clip,cast,flatten_contiguous_range trt op converter support zero dim

* add rules

* modify no kernel yaml parse

* success op generate

* success test_silu_double

* modify bug

* modify static error

* modify silu_grad input

* modify kernel signature

* modify kernel signature

* code style

* code style

* review

* delete opinfo modify

* Reduce inference library size and compile time

* resolve conflicts

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* add check ops for prim

* fix pow and concat composite registration

* modify log

* add note and remove useless code

* remove useless code

* modify program to check

* remove useless note

* delete log

* filter some kernel signature

however it can't deal with group of parameter_list of dict.

* relocate regularizer.py

* fix bug

* fix bug

* fix bug

* relocate the import

* replace _regularization_coeff with coeff

* remove the L1DecayRegularizer and L2DecayRegularizer

* update

* Update backward.h

* Update composite_backward_api.h

* Update tensor_utils.cc

* Update backward.cc

* update

* stype

* update

* add ctest

* code stype

* move OneHotRawKernel to legacy

* fix

* fix build error

* fix build error

* fix

* modify concat_grad add sum comp rule

* delete default mul_double_grad

* delete high grad test

* recover yaml

* modify yaml

* recover add_double_grad prim

* added base code for i0 and i0e

* added grad base code for i0 and i0e

* added i0 and i0e python code

* added ops and backward yaml config

* added i0 and i0e cpu kernel, but not test.

* added i0 and i0e code and unitest files

* added test files

* added i0/i0e gpu implementation code

* updated code style

* updated code style

* fixed unitests code

* updated i0 with eigen3

* fixed bug and added more test cases

* refactor: fixed static graph bug

* refactor: removed i0 and i0e from op_compat

* refactor: updated code style

* refactor: updated op_compat.yaml

* refactor: updated op_compat.yaml

* refactor: fixed op name mapping and optimize unittest case

* refactor: manually implement i0 / i0e

* refactor: added grad kernel for i0 / i0e,didn't finish

* Update math.py

* refactor: added equation to doc in English and added comments for computing i0 / i0e gradient

* refactor: removed eigen implementation

* refactor: finished i0 / i0e cpu and gpu op

* refactor: updated code style

* fix: find  a bug but not fix

* fix: incorrect unittest cases

* update: updated code style and remove my file

* update: updated unittest case

* fix: fixed sign error

* fix: fixed mistakes when merging

* refactor: updated code style

* refactor: remove unused code

* refactor: updated code style

* test(prim-cinn): split test_resnet and test_bert into three tests

* test(prim-cinn): fix cmake file to run prim test in CINN-CI

* add rules

* modify silu_grad input

* modify kernel signature

* modify kernel signature

* code style

* review

* [CustomDevice] add inference MP support, PART0

* update

* softmax support

* support stack

* sequence_mask functionalization

* fix sequence_mask test