Print the forward's stack when backward op has nan/inf and FLAGS_check_nan_inf_level = 0
Delete temp param in eager_gen

* support 0-D output and 0-D as indice in __getitem__

* fix tests

* fix inference and UT

* add unittest for setitem

* fix xpu test

* fix xpu 0-d

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* Remove climits.

* Fix bug of BlockDesc::MoveFrom(). It's used to rebuild main_program_desc from ProgramDesc modified by Fusion Pass. As some fused operators need to create new Variables in modified ProgramDesc, MoveFrom function uses std::move() function to move these VarDesc to main_program_desc. As a result, their pointers holded by modified ProgramDesc become nullptr. When call block()->Program()->proto() function, it will call ProgramDesc::Flush() function at first, which may cause a segmentation fault.

* fix the set_value error in cpu

* add a unitest for set_value OP

* fix platform::is_gpu_place

* add todo note for set_value

* fix test

* remove c++14 assert and remove include tensor.h in phi

* update

* remove delete_cast_op_pass

* add 0D output support for inalg.slogdet,test=allcase

* fix zerom dime test error test=allcase

* fix test error test=allcase

* add static backward test, test=allcase

* [CustomDevice] add c_identity op

* fix use calc stream

unique支持float16和bfloat16数据类型，并完善相关单测。

* unify kernel

* fix ci bugs

* fix py3 bugs

* fix py3 bugs

* perfect code

* fix bug in parse args

* fix bug

* recover legacy_*.yaml

* change 'Out' to Output

* [CINN] fix concat&pow

* update concat

* composite_backward_api

* for ci

* for ci

* update test & fix opmaker

* add random control for fused dropout add

* add __init__

* fix multinomial

* fix test_elementwise

* fix convert_float_to_uint16

* aadd test_multimial_op

* fix code style

* untracked files

* bce_loss_fp16

* remove unused files

* back max_rel_erro still big

* simplify code

* upd

* fix max_relative_error

* restart ci

* Update test_bce_loss.py

* Update test_bce_loss.py

* Update test_bce_loss.py

* Update test_bce_loss.py

* try to pass test

* restore file

* remove error value

* fix bug

---------
Co-authored-by: NZhang Ting <Douyaer2020@qq.com>

* fix multiply double grad error

* fix multiply dy only kenrel

* Implement optimized kernel for OP-expand_as.

* Support fp16.
Co-authored-by: Timber-Ye <ye_hanqiao@163.com>
Co-authored-by: NBrianQian1999 <brianqianhitsz@gmail.com>

* remove fp16 support

* remove MAX_RANK_SUPPORTED

---------
Co-authored-by: NBrianQian1999 <brianqianhitsz@gmail.com>

* add register info for eigh and eig_gard

* add sync_batch_norm_op.cu register info

* add lamb output register info

* add unique register info

* change type name

* change type name

* add output register info for check_finite_and_unscale

* update cmake and config file

* add register info for adagrad

* fix build error

* add sync to run_unittests.sh

* add register info for unique_consecutive

* fix build error

* add eigh to STATIC_BUILD_TESTS

* update eig_kernel.cc

* update eig_kernel.cc

* fix infer mate error

* fix unique register error

* fix lamb register info error

* fix lamb register info

* update lamb register info

* fix lamb

* remove one Output Register

* update static build file

* add eigh op to disable_wingpu_test

* update run_unittests

* [AMP OP&Test] Sync_batch_norm support bfloat16

* fix

* fix

* delete SupportNPU(), SupportMLU()

* delete npu branch

* Add digamma, dirichlet tests

* Fix code

* add erf FP16 test

[Zero-Dim] support 0-D tensor for reduce/reshape/stack/prelu/expand_v2/gaussion onednn kernels (#52185)

* support 0-D tensor for reduce/reshape/stack/prelu/expand_v2/gaussion ops

* fix gaussian random mkldnn op ut

* [Decouple enforce.h] Move LOG from enforce.h to enforce.cc

* update cmake of device_context.cc, solve cuda_device_context_allocator.h compile error

* add namespace inside macro

1. modify set_value op, use Scalars to represent attr `values`, instead of a bunch of attributs of various types; (#52408)

2. add program converter and set_value op as an example, which provides the functionality to convert `paddle::framework::ProgramDesc` between old and new formats(the differences are mainly some operators with incompatible updates in the definition);
3. program version and operator version map now are always saved when serializing `paddle::framework::ProgramDesc` to identify the version;
3. provide an option `legacy_format=false` in  serialization of `paddle::framework::ProgramDesc`, it decided whether to convert ProgramDesc back to a legacy format, which is compatible for paddle 2.4.2 or earlier versions to load and execute;
4. deserialization of `paddle::framework::ProgramDesc` is now automatically detecting whether the bytes it receives is in legacy format(contains any of the operators that has been incompatibly updated and have any attribute of type `Scalar`) and convert it to new format. But if you want a faithful deserialization without the automatic conversion, you can use protobuf's deserialization instead. Though it is not recommended, it can be used for the purpose of testing.

* [phi] move sequence_pool kernel to phi

* [phi] mv sequence_pooling to phi funcs

* [phi] mv sequence_pooling_test

* [phi] RollBACK `paddle/fluid/operators/sequence_ops/sequence_pool_op.cc`

* [phi][funcs] fix mutable_data

* [phi][funcs] fix mutable_data