* add flag

* change flag

* use prim flag

* fix code

* fix softmax prim flag

* set case timeout

* [dy2static] support fallback for whole graph. (stage 1)

* bug fix

* bug fix and add a new unittest

* fix code by code review

* fix coverage

【PRIM】Support use operator's output metadata info  in constructing static backward composite (#50043)

* [prim] support custom target_gradients

* support infershape after append one gradop

* [prim] add simple net test

* fix test_loop segment fault bug

* [prim] fix infer shape segment fault bug when output of grad_op_desc is empty

* rebase merge

* code fix

* fix bugs

* support @to_static+to_prime+cinn

* fix code logic

* debug4

* debug5

* debug6

* debug7

* debug 8

* debug 9

* debug10

* debug11

* debug11

* debug 12
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Fix translated layer fine-tune

* Support call backward() without params in dy2st

* [D2SCinn]Fix self.infer_program always build cinn pass without cache

* fix infer op size

* add enable_to_static and drop some methods of ProgramTranslator

* fix code style

* fix cant import enable_to_static and update unitest

* change unitest and rollback code of PT

* fix can't import as of utils

* roll back PT

* fix roll back

* add some unitest

* add unitest and fix codestyle bug in api.py

* finish all unitest

* remove ProgramTranslator

* fix code style

* restore test_program_translator

* api.py remove get_func

* TestDygraphToStaticCode

* fix check_type and import err

* roll back PT without getcode

* roll back pt with get_code

* convert_to_static

* fix import __all__

* Add ignore_module API

* fix type of parameter

* Add test case of ignore-module

* add build strategy for infer program of dy2st

* refine code

* fix bug

* [Dy2static] Add ParameterRecorder

* filter by shape(tensor)==0

* fix code by review

* fix random failed in CI. (especially coverage)

* fix bugs

* remove API changes to avoid static CI approval

* [D2SCinn]Add test_cinn unittest and param_grad into skip_gc_vars

* remove print

* Fix param and out grad names in dy2st for high order grad

* remove fluid.save_dygraph and fluid.load_dygraph use paddle.save and paddle.load instead

* move Sequential to paddle.nn

* modify convert_call_func.py Sequential reference

* remove related unitests

* remove fluid.dynamic.Sequntial

* test remove conver_call_func

* fix conflicts

* fix typro

* fix unitests

* fix sample_code

* fix unitest

* fix __init__

* bugfix: fix bugs in Indexable and support LayerDict

* fix bugs.

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* [D2SCinn]Support deliver skip_gc_vars into Graph

* fix unittest

* fix copy

* 移除 declarative 接口

* 修改 CI报错，清理注释

* move translated layer

* fix build bugs

* fix unittest bug

* trigger ci

* del array_write & array_read

* fix import err

* fix import err

* fix example codes

* remove non-public apis from __all__

* fix code style

* isort jit

* refine comment

* [API Clean]Clean __all__ to avoid exposing usless API

* fix import

* fix typo

* remove tracedLayer unittest

* [Dy2St] refactor convert_print to display Tensor in compile time

* refactor: rm shrink_memory

* refactor: rm create_array

* refactor: rm array_length

* [Fluid Clean]Migrate utils files and delete dygraph_to_static dir

* fix setup.py.in

* fix import

* fix unittest

* fix code style

* fix unittest

* [Fluid clean]Migrate base/call/print et.al transformer into paddle.jit

* fix phi kernel

* Revert "fix phi kernel"

This reverts commit eff8891c7efda6e49799edbcaef2ca50379d50ef.

* [Fluid Clean]Migrate if/while/return/break transformer into paddle.jit

* migrate call_transformer

* migrate call_transformer