* 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__

* fix nll_loss

* fix nll_loss

* update

* update

* update

* fix

* rm retain_grad_flag for tests

* modify transpose op

* retain grads for xpu tests

* lint

* modify xpu test

* refactor: gloo comm context migration

* fix: headers & avoid mutable_data usage

* fix: cmake gloo dep

* style: rename funcs

* refactor: move to new files

* fix: gloo deps

* refactor: simplify create device

* [Zero-Dim] support input 0D Tensor for maximum,minimum,allclose,sigmoid_focal_loss

* [Zero-Dim] add backward test for sigmoid_focal_loss with 0-D input Tensor

* rm retain grads flag for tests

* modify fill_diagonal

* retain grads for fill_diagonal tests

* reset sum & concat

* fix fill_diagonal

* [Auto Parallel] Remove some fluid APIs

* [Auto Parallel] Fix the wrong import

* [Auto Parallel] Remove unnecessary comments

* [Auto Parallel] Fix the importing bug

* Add ignore_module API

* fix type of parameter

* Add test case of ignore-module

* fix kaiming initializer div zero

* skip_groupnorm

* init

* preln

* add ut

* more assert

* set timeout

* fix windows ci issue

* Rewritten

* change mkldnn to onednn

* fix cmake name

* 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

* 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>

* [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 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

* [Auto Parallel] Rename methods of ProcessMesh

* [Auto Parallel] Impl the python process_mesh by the c++ one

* [Auto Parallel] Add some minor modifications

* [Auto Parallel] Rename some methods

* [Auto Parallel] Remove unnecessary codes

* [Auto Parallel] Add back some removed files

* [Auto Parallel] Fix bugs

* [Auto Parallel] Fix a bug

* Update process_mesh.cc

* [Auto Parallel] Merge dist attrs of Python into C++

* [Auto Parallel] Add back deleted importing

* [Auto Parallel] Add back removed unittest

* [Auto Parallel] Remove type qualifiers of return types

* [Auto Parallel] Fix some bugs

* [Auto Parallel] Fix a bug of the quant pass

* [Auto Parallel] Fix the code style

sequence_mask fix: when the input length is an empty tensor, the kernel tries to dereference illegal sentinel iterator (#49525)

* support 0D for paddle.sort/argsort

* support 0D tensor for paddle.sort/argsort in xpu

* fix bug

* fix grad and add value assertion

* update nearest_interp, expand_v2, cast for stable diffusion

* update nearest_interp, expand_v2, cast for stable diffusion

* correct shape rank

* Update expand_v2_op.cc

* add pool flops

* add annotations and tests