* layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* Using trt layer to make layers_norm op in lower than trt8.6
layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* adapt_startup_program

* refactor program translator

* polish

* add custom op printer hook

* fix merge conflicts

* fix top level op printer

* adapt full int array op

* modify by reviews

* fix

* fix for log xxx

* add int32/int64 for cpu/gpu; add float16/bfloat16 for cpu forward

* fix docstring

* fix bug

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bug

* using cast

* fix test

* fix api

* fix other bugs

* fix ci bug for not using dygraph guard

* add bfloat16 test

* fix ut

* bf16

* add phi option in cmake

* modify default option

* fix windows bugs

* perfect log

* change default mode

* change phi so on for py3

* support bias's rank equal to input's rank

This reverts commit 8b1839be.

* “update”

* update

* update

* update

* update

* test

* update

* fix ir storage bug

* refine code

* refine code

* fix bug

* refine code

* refine code

* support add(x_float32, bfloa16_) or add(x_float32, y_float16)

* polish

* fix test

* auto generate code for elementwise_max

* auto generate code for elementwise_max

* fix composite ops

* fix bug of fmax

* modify multiply_grad_node create

* add place choose

* segment fault modify

* adapt_startup_program

* refactor program translator

* polish

* refine code

* refine code

* refine code

* refine code

* refine code

* refine code

* refine code

* fix bug

* refine code

* refine code

* refine code

* refine code

* refine code

* delete unused code

* delete unused code

* refine code

* bump ruff to 0.0.271 and update config

* exclude third_party

* bump ruff to 0.0.272

* refine config

* remove redunant

* [CINN] add paddle.device.is_run_with_cinn() api for running check

* for pass ci converge

* add check whl should compiled with cinn

* fix ci coverage bug

* remove exposed API

* import is_run_with_cinn explicitly

* add kernel dialect

* change DenseTensorTypeStorage to DenseTensorType

* add test case`

* Add outputs to check_numerics_kernel.

* Add check_numerics to yaml.

* Add API and unittest.

* Add check_nan_inf_level as argument of check_numerics_kernel.

* Add more unittests.

* Fix static API implementation and unittest.

* Move the implementation of check_numerics to paddle.amp.

* Fix import error.

* add vector type support for program translator

* polish

* support basic attribute type

* resolve conflicts

* add verify for combine/slice and unittests

* polish

* support more type in attribute translator

* modify by reviews

* fix merge mistakes

* refine code

* refine code

* add interface

* fix: op name normalization

* fix typo

* refactor input translator

* fix merge conflicts

* fix op normalizer bug

* refactor attribute translator

* fix bug

* refactor output translator

* fix typo

* fix

* fix approval error

* fix coverage

* fix op_compat parser

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* refactor scalar attribute

* draft

* fix

* fix op build

* fix op build

* temporarily save

* adpat mutable attribute

* refine op_comat_gen process

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* complete dialect attribute printer and refine ir_throw

* polish code

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Co-authored-by: Nzhangbo9674 <zhangbo54@baidu.com>

* [CustomDevice] add sarding support

* update