[Zero-Dim] Support 0D for numel/rank/size/optimizer/create_parameter/create_global_var, fix some usage to adapt 0D (#51566)

* fluid clean: remove parallel and parallel_helper api

* fix: fix the import path.

* fix DataParallel imports issue

* rebase merge

* code fix

* fix bugs

* rm legacy dygraph part7

* rm non_static_mode

* modify

* modify

* add static test

* set static for lstm_cudnn test

* reset tracer

* reset varbase

* fix

* rm imperative op eager guard tests

* modify varbase patch eager guard doc

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] fluid dygrapn linear api

* [remove fluid] fluid dygrapn linear api

* [remove fluid] fluid dygrapn linear api

* [NPU] apply npu_identity to conv bn and copy2cpu, test=develop

* update npu identity to share data with x, test=develop

* address review comments, test=develop

* support default use_gpudnn=True

* fully support cudnn in phi

* add header file

* add white_list, verify accuracy

* phi support all cudnn

* opt affine_grad

* try different arches of pretrained_model

* try different arches of pretrained_model

* add debug string

* debug eager_method

* add debug string, pass all local ctest

* polish all debug code

* delete use_cudnn relevant code autogen

* fix depthwise_conv2d

* Share all other members of Tensor except use_cudnn

* polish codes according to review opinion

* polish codes according to review opinion, fix bug

* polish codes according to review opinion, opt performance

* polish codes according to review opinion, fix pooling.py

* [CodeStyle][py2][U004] unecessary explicit `object` inheritance in class definition

* fix an increment

* [Eager, Performance optimization] support equal under c++ directly

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* [Eager] polish clone interface

* rm clone in python, add clone in eager_method.cc

* [Eager]Support Lazy initialization for nn.Lazyer

* fix behavior of device_id=None in Tensor.cuda

* fix CI

* refine tensor.dtype for bloat16

* refine test

* revert

* refine bfloat16 print

* support set_grad_ivar for eager

* support set_grad_ivar for eager

* support set_grad_ivar for eager

* 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

* optimize performance

* fix

* improve coverage

* fix

* fix

* add assign yaml

* add assign api

* add assign backward api

* add assign

* add assign yaml

* add assign

* assign yaml

* add assign raw kernel and use assign_raw in yaml

* merge develop branch

* add missing python_api

* Sitch some dy2st UT to eager mode

* Fix test_lstm and remove test_transformer

* Run test_resnet_v2 in old dy mode

* eager test var base

* refine, test=develop

* [Eager] support tensor uva, test=windows_ci

* Add headers to fix CI, test=windows_ci

* Expose _uva python interface, Fix windows ci issue