* 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>

* remove dumplicate element_size

* remove tensor_methon_* method

* 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

* [D2SCinn]Add test_cinn unittest and param_grad into skip_gc_vars

* remove print

* 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

* [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)

* generate the static graph code of ops

* modify the isclose comment

* modify the clip comment in nn.py

* reset nn.py

* 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

* CINN add fetch op for skip gc vars

* perfect test annotation

* break if not is_only_used_internal

* move skip_gc_var_names get out of for loop

* rm op_function_generator

* rm op_func_generator.h

* rm op_function

* modify cmake

* rm op_function.h

* rm check for op_function_generator.cc

* reset imperative

* rm python part

* fix imperative

* lint

* lint

* modify legacy_c

* review

* modify

* modify legacy

* rm gen op_functions code

* reset framework

* rm core.ops for test

* core.ops->core.eager.ops.legacy

* not raiseError for xpu

* refactor: use base class

* fix: incorrect deps

* fix: add missing header

* refactor: update class structures

* fix: bkcl typo

* fix: remove redundant def

* delivery skip_gc_vars from the main graph to each subgraph compiled by CINN

* rearrange format and annotation

* fix lacking namespace

* fix segmentation fault cinn subgraph doesn't own kSkipGcVarNames

* deliver all skip_gc_vars of main graph

* add vlog for skip_gc_vars

This reverts commit 2c444dfa.

* execute use kernel_key first

* change OpKernelType->KernelKey

* fix py3 compile error, remove redundant header files

* fix build_strategy_test

* fix DataType::RAW

* fix custom_type test: operator_test.cc

* fix transform place

* fix backends_are_same_class

* try fix place TransDataDevice

* support all KernelKey

* fix TransformData

* fix place_are_same_class

* fix merge

* fix test_params_no_grad

* fix specific place of GetExpectedKernelType

* fix specific place of GetExpectedKernelType

* fix GetKernelTypeForVar

* fix dtype error

* fix fetch_v2

* change GetKernelTypeForVar

* fix interpreter

* fix typo error

* polish codes

* polish codes

* polish codes

* fix conflict

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