* remove zeros

* remove zeros

* apply gcc12 to py3

* apply gcc12 to py3

* fluid api clear

* fluid api clean

* fluid api clean

* migrate fill_constant to paddle.tensor

* move fill_constant to paddle.tensor and repalce the reference

* add missing fill_constant replacement

* fix typro

* remove unused import fill_constant

* fix zeros import error

* fix circle import

* fix layers.zeros

* fix unitest

* fix unitests

* fix unitest

* use paddle.full replace fill_constant in samplecode

* fix sample code

* recovery xpu test

* recovery xpu test

* fix circle import

* fix utils import error

* fix utils error

* fix circle import

* redo

* fix circle import

* fix prim fill constant import

* fix type error

* fix increase error

* fix test error

* fix fill_constant

* move fluid.utils to paddle.utils.layers_utils

* fix error

* delete original fluid layers utils

* remove import and old utils

* remove more old utils import

* change import path of fill_constant in the layers_utils.py

* fix mistake

* fix error

* expose in __init__.py

* for comment

* when change the ref of func is_sequence, it should change to the root of is_sequence instead

* for codecheck

* implement composite full_like and simple unit test

* implement op tests for composite full_like op

* some modification as reviewers suggested
add cinn op test to CMakeLists.txt
fix code style

* fix code style

* modify input args of prim fill_any_like op

* resolve conflicts

* resolve conflicts

* modify python api and unit tests as suggested

* resolve conflicts

* resolve conflicts

* use framework.dtype to convert dtype in Op test

* [Eager] optimize same python api logic

* optimize full api

* optimize logic

* optimize logic

* rm legacy layers part6

* rm non_static_mode

* modify non_static

* minor change

* rm loss

* rm in_legacy part8

* minor change

* del array_write & array_read

* fix import err

* fix import err

* fix example codes

move paddle.fluid.layers.tensor.create_parameter to paddle.tensor.creation.create_parameter (#48579)

[Clean fluid] Clean ones, reverse, save, save_combine, load_combine, has_inf, zeros_like and ones_like (#48424)

* Clean fluid ones

* clean ones_like

* clean zeros_like

* clean save,save_combine,load_combine

* clean reverse

* clean has_inf

* clean reverse tests

* remove triu

* use paddle.triu

* remove reshape in nn.py under fluid

* remove reshape reference

* fix test case

* fix test case in distribution.uniform

* remove fluid reshape reference

* remove range

* [Zero-Dim] support input 0D Tensor as scalar attribute for some api

* fix doc

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* fix linspace error in amp

* fix log

* fix amp error

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

* relace fill_zeros_like op with fill_any_like op in backward.py and tensor.py

* Remove unnecessary comments

* modify create op_desc param

* add tensor array

* fix ci bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* update by comment

* update code

* [OpAttr]num_rows/num_colums of eye support Tensor type

* fix attr cast with long type

* [OpAttr]axis of Reverse Support Tensor type

* fix coverage

* fix unittest

* add python final state

* fix bug

* fix bugs

* fix bug

* fix bug

* revert impl, final state mul not support selected rows

* fix softmax use cudnn error

* add softlable false unitest

* revert loss.py

* support more final_state code

* support more final_state code

* fix api error

* fix norm error

* fix pool3d error

* revert pool3d and max_pool_3d_adaptive

* fix code check error

* fix norm problem

* [Eager] use final_state_fill_constant_

* fill_constant use str_value

* add fill_constant_ to no_amp_list

* use float(value) as input

* support final state full_ same as fill_constant

* [Eager] use final_state_full / *full_ instead fill_constant under eager

* polish code

* fix mistakes

* [OpAttr]Support VarDesc* and vector<VarDesc*> in Attribute

* add unittest for inference predictor

* [Phi] Add yaml for assign_value

* [Phi] Fix the bug of the assign api and modify the unittest

* [Phi] Fix the bug when the tensor does not have the backend info

* [Phi] Replace the functional-style cast init by the brace-init

* [Phi] Cast the data explicitly

* add reverse yaml

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* polish append op using

* fix var error

* fix group norm impl