* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

some python c api use final state

* Make sure that the output of whilep must exist in the input

* insert assign in block(0)

* add unittest.

* [Eager] add get_tensor_from_selected_rows

* add PADDLE_ENFORCE to check SelectedRows

* use _ prefix in temp

* [OpAttr]Squeeze axes support Tensor

* add support_tensor

* fix unittest

* fix coverage

* 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

* Update creation.py

修复Returns格式问题

* 【Fix en docs】 Fix document formatting

修复Returns和Return Type格式问题。

* 修复格式，解决中英文文档不一致问题

为了解决中英文不一致的问题，统一将Returns内容第一个标点符号改成逗号。删掉Return Type

* fix大量 与 Return Type 和 Return相关的文档

* Convert Variable and LoDTensor to Tensor

* Update python/paddle/nn/functional/common.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* Update detection.py

* Update io.py

* Update io.py

* Update loss.py

* Update loss.py

* Update io.py

* Update io.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update metrics.py

* Update metrics.py

* Update metrics.py

* Update metrics.py

* Update metrics.py

* Update nets.py

* Update reader.py

* Update nn.py

* Update io.py

* Update nn.py

* Update io.py

* remove Return Type to Returns

* Update sequence_lod.py

* Update sequence_lod.py

* Update common.py

* Update common.py

* Update extension.py

* Update creation.py

* update*test=document_fix

* Update io.py

* Update manipulation.py

* Update sequence_lod.py

* Update common.py

* Update common.py

* Update common.py

* Update common.py

* update*test=document_fix

* update*test=document_fix

* Update loss.py

* Update loss.py

* update*test=document_fix

* paddle.crop

* for ci;test=document_fix

* update io;test=document_fix

* Update io.py

* update sequence_expand docs;test=document_fix

* update note typos;test=document_fix
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* fix dy2staic: cpu, cuda, assign([Var, Var, ])

* fix1

* fix2
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* fix_auc in instag task

* fix_auc in instag task

* fix_auc in instag task

* fix opmaker error

* optmize default value of ins_tag

* fix multiary

* fix multiary

* reback ctr_metric_bundle

* reback ctr_metric_bundle

* for ci auc_test

* code style

* code style fix

* suit paddle

* suit paddle

* update code example

* complete Auc unittest

* set asdispensable

* set optional

* compatable and code style

* fix cu

* fix cu

* for ci win

* update unittests of auc

* update code doc by reviews

* change code doc by reviews

* phi_matrix_nms

* remove old kernels and add optest check_eager

* reoder args

* reoder args in infermate

* update

* get back legacy dygraph

* update unstack_op

* update unstack_op

* update unstack_op

* fix unstack test

* update unstack

* update with remote

* fix unstack_test.py

* temp_save_change_nms_op

* add nms test

* update nms fix

* update unstack_op

* temp save change

* finish fix nms_op

* pass nms test

* fix CI

* fix ops test

* save change

* fix code style

* fix code style

* fix ci and codestyle

* fix ci
Co-authored-by: NShiningZhang <zhang_liang1991@126.com>

* phi_prior_box

* add float[] support

* phi_prior_box_optest

* update

* add yaml and utests of phi softplus

add yaml of softplus

fix softplus bug in phi

* update utests

* bug fix

* bug fix for test_layers

* layer api match

* match def and doc in ops.py

* doc polish

* fix unwanted modified of thresholded_relu

* style imporve

* [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

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* modify code style

* add x to X mapping

* add definition of lgamma

* delete redundant lgamma definitions

* Modify code comments

* Modify ops.py code format

* add lgamma  single test and lgamma api in fluid

* Optimized lgamma unittest

* add reverse yaml

* add generate_proposals into paddle.vision

* remove class api

* im_info -> img_size

* change fluid impl to current version

* add distribute_fpn_proposals

* change to new dygraph

* fix doc and example code

* change fluid impl to current version

* change NameVisitor to FunctionScopeAnalysis

* polish the logic of undefined var in while_loop. create vars after body execution

* replace old NameVisitor in while and fix all CI

* Togather with CreateVariableTransformer

* add create_variable_transformer

* fix bugs

* merge

* fix some error, TODO: ForNodePreTransform ahead

* merge for unite PR

* fix conflict with base_transformer PR

* fix ci errors, fix [for i in range()] error

* fix according to code review

* fix the doc of

* fix the doc

* feat(): dynamic_to_static support for ipu.

* fix(): format fix.

* fix format

* fix cpplint error

* use phi::errors

* fix format

* fix format

* fix(): add api to restore patched function.

* fix(): identity_loss uses cpu place as expected kernel type.

* doc(): add IPU dy2static related docs.

* fix(): combine test cases.

* fix format

* fix comment

* fix format

* apply comment

* fix compiling

* fix(): align docs.

* fix(): fix identity_loss function docs.

* fix(): adjust mean and sum in identity_loss.

* fix(): minor docs.

* move API to paddle.incubate.identity_loss

* fix UT
Co-authored-by: Nzhaorui chen <zhaoruic@graphcore.ai>

* add support for control flow block analysis

* move FunctionNameLivenessAnalysis into utils

* pass test_ifelse.py

* remove duplicate data_layer_not_check

* pass the test_ifelse.py

* fix unittest error .

* fix all ci error in first version

* temporay disable CreateVariableTransformer

* fix ci errors

* fix function name liveness analysis bugs

* modifty def cond

* fix

* fix ci error - v2

* fix by code review

* change return_name_ids -> return_name

* change fluid.mean to paddle.mean

* reverse some old code examples

* Replace np.bool/np.bool8 with np.bool_

* Replace np.object with np.object_

* Replace np.complex with np.complex128

* Replace np.float with np.float64

* Replace np.int with np.int_

* Rerun pre-commit for newer pre-commit configuration

* Use builtin bool instead of np.bool_ based on the context

* 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

merge dymf branch

* add intermediate for some api

* fix bug

* fix fluid.layer

* support construct scalar using non-cpu tensor

* fix bugs when run unittest

* fix compile bugs

* fix bugs when run ci

* fix compile bugs

* fix bugs when move copy

* perfect unit test

* perfect unittest

* update according to comment

* int_array supports constructed by gpu tensor

* add some test

* polish code

* adjust full api

* add unittest

* add unittest
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* [Eager] Support test_dist_hapi_model under eager mode

* [Eager] Polish code

* Fix code-format issue, coverage-ci issue

* fix collections.Sequence in python3.10

* fix format