* add build strategy for infer program of dy2st

* refine code

* fix bug

* add concat optimization

* refine

* remove annotation

* use alignas instead of aligned_storage

* skip_groupnorm

* init

* preln

* add ut

* more assert

* set timeout

* fix windows ci issue

* Rewritten

* change mkldnn to onednn

* fix cmake name

* static.nn.cond ten

* add unitest

* update code style

* support the drop_empty_grad in backward

* change code according to yunfei's review suggestion

* migrate shaple sgd, split,sign xpu kernels to phi, test=kunlun

* fix dlrm throughput problem, test=kunlun

* add xpu einsum, fill_diagonal, and diagonal kernels, test=kunlun

* Dy2St_RandomHorizontalFlip

* Dy2St_RandomHorizontalFlip

* proto type of composite grad in paddle

* proto type of composite grad in paddle

* refactor composite api with phi

* fix compile error

* support static graph code-gen for squeeze op

* generate static graph code of unsqueeze

* refine op name

* fix compile error

* add extra output in op_compat

* remove debug log

* fix clang compile error

* support prim switch flag

* support prim switch flag

* fix dygraph error

* merge develop

* add code_gen

* add necessary files without codegen

* fix code_gen bug

* add deps

* modify igmnore

* add ignore

* delete std cout

* add composite logic for backward.py

* add tanh first order grad composite

* support enable_prim flag for static graph

* throw expection when both GrapOpMaker and GradCompOpMaker not been registered

* reorganize the directory of prim api tests

* fix windows error

* add eager_utils

* add eager_utils

* modify code gen

* add composite parse

* add unittest for get_grad_op_desc

* code optimize

* fix static test on windows

* support generate static graph code for imag and real op

* fix windows compile error in test_static_prim

* merge develop

* disable test eager in inference

* prim code gen

* disable eager compile in inference

* rm other file

* rm gitignore file

* code_style

* add eager test

* code_style

* merge develop

* remove useless files

* modify static test

* support bool flag from singlton

* merge develop

* recover git ignore

* fix conflict

* recover git ignore for generated op

* fix test compile error

* remove some tests

* add python test

* fix some name issue

* add composite code gen

* modify backward yaml

* fix static composite grad maker code gen

* remove addtional files

* add some static funcs unit test

* fix some bugs

* fix composite grad maker register code gen

* optimize some functions
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>
Co-authored-by: Nwangruting <wangruting@baidu.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>
Co-authored-by: Ncharles-hit <wanghao107@baidu.com>
Co-authored-by: Nxiaoguoguo626807 <100397923+xiaoguoguo626807@users.noreply.github.com>

* add RandomResizedCrop

* fix code style

* fix first loop

* add uni test

* remove dumplicate element_size

* remove tensor_methon_* method

* [AutoParalle] balancing the calculation of global_norm in data parallel

* fix unittest

* update cond pure_data_parallel

* [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

* comm_context and static init

* refactor: move to phi/core/distributed

* refactor: avoid mutable_data usage

* fix: windows sock

* fix: device without nccl
Co-authored-by: Wen Sun <syl1887415157@126.com>

* Enable standalone executor for fleet training

* Update code

* Replace use_standalone_executor utils in auto parallel

* Update code

* Diable standalone executor for test_pass_sharding

* Update code

* Set sequential run for auto parallel

* Fix dist_attr bug

* Set sequential run for auto parallel

* add bitwise and, bitwise not, bitwise or and bitwise xor

* correct typo

* add 0-d support for paddle.kthvalue

* add 0-d support for paddle.mode

* fix coverage test for device

* fix check-bug in windows

* change axis check from LT to LE

* add shape & value check for grad when input is 0d tensor

* zero-tensor

* remove unused

* zero_dim_xpu

* relocate

* add value test

* fix syntax

* [D2SCinn]Add test_cinn unittest and param_grad into skip_gc_vars

* remove print

* acquire custom_deivce stream

* regulate file name and unittest

* flatten op support 0D-tensor

* add test in zero dim py

* fix shape should be list

* short code for ci-coverage

* add backward test

* simple code for ci coverage

* add axis check

* add 0D-tensor test in test_flatten_contiguous_range_op.py

* add axis error test for Coverage CI

* add more test for CI-Coverage

* add more test for CI-Coverage

* fix: fix hidden virtual funcs

* fix: add default impl