* update

* fix bug

* test

* test

* update

* update mutable_data

* fix bug

* update

* fix bug

* update output type reg

* update

* update

* rm npu

* rm use_npu

* rm npuid

* rm use_npu

* rm npuid

* delete npupinned

* roll back sth.

* roll back sth.

* delete npupinned

* roll back sth.

* roll back sth.

* rm npu

* rollback something

* rollback npu identity

* rollback npu identity

* trans fused batch norm Compute function

* trans batch norm register info to phi

* trans fused batch norm grad Compute

* trans batch norm grad register info

* add sig file

* update sig file

* Update fused_bn_activation_kernel.cu

* Update fused_bn_activation_grad_kernel.cu

* fix

* Rename fused_bn_activation_kernel_grad.cu to fused_bn_activation_kernel.cu

* fix

* fix

* fix CudnnDataType error

* fix

* fix include

* update

* add #if

* add fused bn act to cmakelist.txt

* update  cmakelist

* fix #ifdef error

* add timeout set

* add env set

* fix

* fix

* Update fused_bn_activation_sig.cc

* static graph autogen code support for softmax op

* bug fixed

* fix PR-CI-Windows error

* fix CI error

* bug fixed

* fix conflicts

* mv InstanceNorm

* modify op_version.yaml

* modify add Operator:: in get_expected_kernel_func.cc

* rm gradexpectedkernel

* add extra

* add float epsilon=1e-5

* Add Japanese README

* Update README_ja.md

* remove _in_eager_mode_

* remove _in_eager_mode_

* remove prelu land ookuip_table plugin, adjust .h include location

* clean code and adjust some .h

* update

* Allow to switch whether to use promote strategy to choose kernel for O2 training.

* Fix comparing error and add unittest.

* remove unused code

* [phi]mv StftKernel to phi

* [phi] fix KernelSignature

* [phi]fix arr error

* [phi] Disable check_dygraph

* [phi]fix include

* [phi] rewrite mutable_data, add output register

* [phi] fix  Alloc

* [phi] fix Alloc again

* [phi] fix mutable_data

* [phi] fix onesided_out Resize

* correct 1th to 1st

* correct 1th to 1st

* fix typo

* fix typos

* 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.