* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* fixed cyclic reference that caused patial import

* fixed bad change

* fix bad import

* fix bad import

* fix bad import

* fix ut failed caused by change in_dynamic_mode

* fix ut failed caused by change in_dynamic_mode

* fixed usage of in_dynamic_mode() or in_dygraph_mode()

* revert python3 to python in .pre-commit-config.yaml

* fix merge conflicts

* remove _in_eager_mode_

* remove _in_eager_mode_

* [XPU] remove scale_loss in parallel.py

* [XPU] throw Unimplemented when using Reducer

* rename monkey_patch_varbase as monkey_patch_tensor & monkey_patch_math_varbase as monkey_patch_math_tensor

* rename monkey_patch_varbase as monkey_patch_tensor & monkey_patch_math_varbase as monkey_patch_math_tensor

* rename monkey_patch_varbase as monkey_patch_tensor & monkey_patch_math_varbase as monkey_patch_math_tensor v2

* rename monkey_patch_varbase as monkey_patch_tensor & monkey_patch_math_varbase as monkey_patch_math_tensor fixed bug

* Revert "remove ASCEND* keyword (#53046)"

This reverts commit 7fa415ca.

* Delete ascend_trigger_op.cc

* revert-53046-remove_ASCEND_keyword

* update

* update

* remove ASCEND* keyword

* update docstring

* bug fixed

* bug fixed

* rem is_compiled_with_npu

* rem nup related code

* make lint happy

* rem test

* remove some tests

* Update grad_scaler.py

* fix an error

* rem is_compiled_with_mlu

* fix some mlu_place and mlu_device_coount

* make lint happy

* delete old dygraph op test

* [Fix typo] Fix typo error in grad_node_info.h

* fix varbase_patch_methods.py typo error

* fix more typo errors

[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