* [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

* 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

* rename _varbase_creator as create_tensor

* rename _varbase_creator as create_tensor

* delete old dygraph op test

* remove no used fluid beam_search_decoder

* move Layer and related helper to paddle.nn.common

* modify Layer references from dygraph.layers.Layer to paddle.nn.common.layers

* stash changge

* remove fluid layer_object_helper, layers.py

* remove fluid layers init

* add setip

* fix unitest

* delete layers in fluid.dygraph

* merge paddle.tensor.stat,py

* fix circle import

* fix curcle import

* remove redundant in_dygraph_mode import

* revoce paddle.nn.common.* in fluid.__init__

* recovery nn.rnn

* paddle.frame use lazy import import paddle.jit to avoid circle import

* remove left dygraph.layers ref

* merge develop

* fix import error

* fix test error

* fxi merge error

* fix test fluid.Layer

* fix test error

* fix test error

* fix import error

* fix import error

* fix comments

* fix circle import

* fix rnn import error

* fix circle import

* move io

* fix ci bugs

* fix ci bugs

* fix py3 bugs

* fix example code

* fix example code

* fix text

* fix text

* deal with ci bugs

* perfect code according comment

* delete import batch

* fluid clean: remove parallel and parallel_helper api

* fix: fix the import path.

* fix DataParallel imports issue

* add enable_grad, reafctor no_grad, set_grad_enabled

* fix bug

* fix bug

* format

* fix bug

* format

* format

* fix doc

* fix

* fix

* fix bug

* fix comment

* [RM FLUID] trainer_pass&heter_trainer_pass
* [RM FLUID] rm distributed_strategy

* [Auto Parallel] Remove some fluid APIs

* [Auto Parallel] Fix the wrong import

* [Auto Parallel] Remove unnecessary comments

* [Auto Parallel] Fix the importing bug

* rm legacy

* clear in_legacy

* fix tracer

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* Remove climits.

* Clean fluid API in paddle/distributed and paddle/fleetx folders.
Include following files:
python/paddle/distributed/__init__.py
python/paddle/distributed/collective.py
python/paddle/distributed/fleet/utils/fs.py
python/paddle/distributed/fleet/utils/hybrid_parallel_inference.py
python/paddle/distributed/fleet/utils/hybrid_parallel_util.py
python/paddle/distributed/fleet/utils/internal_storage.py
python/paddle/distributed/launch/context/device.py
python/paddle/distributed/parallel.py
python/paddle/distributed/parallel_with_gloo.py
python/paddle/distributed/spawn.py
python/paddle/framework/__init__.py
To be mentioned, 'paddle.fluid.dygraph.parallel.ParallelEnv'
 and 'fluid.framework.core' keeps unchanged in those files.
ParallelEnv is used by paddle.fluid.dygraph.parallel.DataParallel.
However, APIs in paddle.fluid.dygraph.parallel can't be
migrated to paddle.distributed, as there exists cyclic import
dependencies in modules like paddle.static, paddle.tensor. And
'fluid.framework.core' will be changed to import framework.core
after fluid.core is transmitted.

* Change TODO authors.

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

* clear fluid apis in fleet and passes

* fix model.py

* fix model.py

* fix cpp_pass.py

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [remove fluid] under fleet meta_optimizers

* [CodeStyle][E262][E265] make comments start with `# `

* flake8 config

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* 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

* refactor eager flags

* fix flags error when we switch from eager to dygraph

* fix ci problem

* fix ci

* fix ci

* merge develop and fix code style

* merge develop and fix code style

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* merge develop

* [CustomRuntime] Add DeviceManager

* [CustomRuntime] Add DeviceInterface

* [CustomRuntime] Add Stream, Event, DeviceGuard, CallbackManager

* [CustomRuntime] Add plug-in device

* [CustomRuntime] Memory module support PluggableDevice

* [CustomRuntime] Add WITH_PLUGGABLE_DEVICE cmake option

* update

* [API] update API doc based on comments, test=develop
Co-authored-by: Nqili93 <qili93@qq.com>

* [MLU]support calling mlu op from python interface

* [MLU]fix

* fix

* [mlu]fix mlu_places

* [mlu]fix required mlu

* fix

* [MLU]fix tensor copy

* [mlu] fix MLUPlace call path

* add control/status API, test=develop

* fix import error, test=develop

* add is_grad_enabled unittest, test=develop

* add code comment for example code and API, test=develop

* add checking for type, test=develop

* add api description, test=develop

* fix docs index_en, test=document_fix

* fix doc of is_floating_point, test=document_fix

add __all__=[] to python files not in API public list; import * only support in API public list files (#32643)

* [feature] support npu allocator (#30840)

[feature] support npu allocator

* [feature] support npu operator (#30951)

[feature] support npu operator

* [feature] support npu allocator, part 2 (#30972)

* support npu allocator

* add npu device context

* fix some compile problem

* fix some compile problem

* add npu info

* compile ok

* fix include dir

* support naive_best_fit_allocator

* run ut ok, bug failed to exit

* call aclrtResetDevice before exit

* fix aclFinilize

* add system allocatot test

* add selected_gpus in gtest

* add tensor_test for npu

* support npu op, initial commit

* add npu stream

* add elementwise_add_op

* compile ok

* fix typo

* fix elementwise_add_op_npu_test

* support op run

* test can run but failed

* change aclopExecuteV2 to aclopCompileAndExecute

* support parsing ascend rank table file (#31000)

support parsing ascend rank table file

* Fix reshape on GE graph. (#31084)

Fix reshape on GE graph

* add npu kernel for elementwise_sub and elementwise_sub_grad (#30973)

* add npu sub op

* fix typo

* rename test

* fix bug

* fix bug

* add fp16 kernel

* fix typo

* support sub grad op

* support elementwise_sub_grad op
Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>

* Fix compilation problem (#31100)

Fix compilation problem (#31100)

* fix compile

* fix code stype

* remove const_cast

* support adding correct npu op in pybind.h (#31143)

* support adding correct npu op in pybind.h

* refine code

* [NPU] Support executor with NPU (#31057)

* [NPU] Support executor with NPU

* Fix code according to reviews

* Fix code

* Add unittest for sub op npu

* refactor npu device manager (#31154)

refactor npu device manager (#31154)

* fix selected npus

* fix compile

* fix reading flags from env

* format
Co-authored-by: Nxiayanming <41795079@qq.com>
Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>
Co-authored-by: Nliym27 <33742067+liym27@users.noreply.github.com>

* rm complexvariable

* modify test_var_base unittest

* remove duplicated codes

* make Numpy version is below 1.19.3

* fix 2.0 doc