* use int64 to calc dim for c softmax

* fix complie bug

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* Add trt pow converter.

* update to use AddConstantLayer

* add dims=0 ut

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* modify concat_grad add sum comp rule

* modify cast

* modify concat_grad add sum comp rule

* cast and by_pass modify

* only modify by_pass

* modify by_pass

* [test]mv fluid *test* to test/cpp/fluid

* [phi] fix link error

* [test]mv fluid op pscore to test/cpp/fluid/pscore

* [test]add -faligned-new

* [test] fix brpc link

* [test]mv fluid reader to test/

* [test]mv fluid op prim_ops to test/cpp/fluid/prim_ops

* [test]mv fluid op nccl to /test/cpp/fluid/nccl/

* [test]mv fluid op reduce_ops to test/cpp/fluid/reduce_ops

* [test]mv fluid op lite to test/cpp/fluid/lite

* [test]fix lite

* [test]fix prim op path

* [fluid]clean prim ops cmakelists

* [tests]mv fluid benchmark to tests

* [test]Add placeholder

* [test]Add placeholder

* change judgement for DropoutGradGPUKernelDriver

* add UnrollerWithoutVecSize and after this Loaddata to be refined

* pass unittest

* use same unroller with XPU

* BroadcastWithInt64Index

* BroadcastDataLoader template partial specialization

* fix compile errs in ROCms

* clean ElementwiseT and InT for BroadcastKernel

* default axis and clean inT

* remove redundant fast divmod computation

* optimize drop_nd & drop_nd_grad

* optimize BroadcastDataLoader bf16 fp16

* rm InT etc. after merge develop

* delete constexpr for windows ci

* fix conflict

* fix conflic with develop

* fix conflic

* new clean

* clean

* update

* fix bug

* support parsing fixed kernel data_type

* update op_compat

* update

* trt support 0 dim

* trt support 0 dim

* update activation ut

* add mul doubel grad

* add sub_double_grad

* add add sub high test

* add mutiply test

* modify other unsqueeze

* delete api.yaml

* only for make ci run

* midify unsqueeze

* modify unsqueeze

* tmp

* modify operants gen

* [phi] move sequence_pool kernel to phi

* mv kernels impl

* fix parameter error

* clean include

* fix compat filename

* [phi] move fluid sequence_pool_grad to phi

* [phi][compat] sig rm GradVarName

* [phi] fix sequence_pool out type

* [phi] rm impl, add const string

* [phi] fix const str

* fix sequence_pooling cmake

* [phi] mv sequence_pooling_test

* [phi] fix grad sig

* [phi] fix sequence_pool is_test error

* [phi] fix sequence_pooling gpu include

* [phi] mv to impl

* [phi] fix SequencePoolFunctor cu include

* [phi] modify out max_index int32_t

* [phi] add pooltype mapping determine

* [phi] fix sequence_pool_sig

* [phi] fix sequence_pool_sig sum

* [phi] try ci

* [phi] fix max_index optional

[Dy2St]Get grad names when call append backward to fix high order gradient (#53250)

* [static op generation] triangular_solve

* [phi] mv triangular_solve_grad to static_backward

* [phi] fix import

* [phi] mv to ops.yaml、 backward.yaml

* fix forward attr

* [phi] fix triangular_solve_grad args

* [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily

* Add unittest

* trans fused_feedward Compute function to phi

* add register info

* remove maxfunctor

* move fused feedward to phi

* remove sig file

* remove fliud include

* add include

* add include

* add sig file

* add output register info

* fix sig file

* Update fused_feedforward_sig.cc

* fix grad kernel

* update output register info

* fix

* open fused_feedforward static build

* add optional and fix code style

* fix output info for fused attention

* add optional param

* merge

* support OD level and skip dynamic loss scaling for bf16