* add tool: print kernel signaturs

* fix windows compile

* [MLU]add matmul and matmul_v2 op

* [MLU] fix data_type and del matmul

* [MLU] fix compile error

* [MLU] fix ci_check error

* [MLU]add sync stream ops and broadcast pytest

* [MLU]fix broadcast pytest to add data type

* merge legacy to fluid

* Remove legacy code

* Remove legacy code

* Remove DataType test

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer

* refine code

* Rename all EagerTensor to Tensor

* Rename some EagerTensor to Tensor

* rename EagerTensor to EagerVariable

* add more test

* fix different device gradient_accmulator bug

* merge develop

* remove useless tests

* [Eager] Support GradientHook before running seperate GradNode

* Fix CI issue

* Fix CI issue

* move bernoulli kernel to pten

* follow comments

* relocate code of interpretercore gc

* fix and add more tests

* remove unwanted changes

* check only concat and elementwise

* move check to a function

* add todo comment

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* save the name lists of the input,internal and output variables of a subgraph as its attribute

* fix compile error

* move trunc to pten

* modify according to YuanRisheng's comment

* add softplus op for kunlun2. test=kunlun

* add softplus op for kunlun2. test=kunlun

* fix code style. test=kunlun

* fix code style. test=kunlun

* add more test cases. test=kunlun

* first commit

* teller fix

* bug fix

* enable for pool2d only

* fix global_pooling issue

* pooling_type

* fix test

* remove register of matmul_v2 kernel

* delete matmul_v2 grad register in fluid

* update inference ut to support nhwc format

* update ut and pass OpCompat

* update ut

* update ut

* move lerp to pten

* refine include

* move files

* refine code

* pten matmul cuda kernel support bf16

* fix pten kernel name

* add matmul_grad bf16 kernel

* add emptylike bf16 kernel

* fix compile

* suppport rocm

* fix error

* fix rocm

* add bf16 header file

* fix compile

[Paddle-Inference] support preln-ernie: add preln_emb_eltwise_layernorm_op, preln_skip_layernorm_op (#39570)

* support preln_ernie: add preln_emb_eltwise_layernorm_op, preln_skip_layernorm_op

* support preln_ernie: add preln_emb_eltwise_layernorm_op, preln_skip_layernorm_op

* merge legacy to fluid

* Remove legacy code

* Remove legacy code

* Remove DataType test

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer

* refine code

* Rename all EagerTensor to Tensor

* Rename some EagerTensor to Tensor

* rename EagerTensor to EagerVariable

* add more test

* merge develop and refine code

* add attr support for infershape

* add unittest for coverage

* add unittest for coverage

* polish unittest detail

* fix windows test failed

* move complex_functors.h and update all references to symbols within it

* rename general grad infermeta func

* remove useless code

* Modify framework::VisitDataType into Pten::VisitDataType

* migrate unittest

* remove reshape and elementwise_add registry

* delete code

* fix bugs when run ci ut

* remove log

* fix bugs when run unit test

* fix bugs when run unit test

* fix bugs when run cinn

* fix bugs when run ci-mac-python3

* fix compile bugs

* fix compile bugs

* fix compile bugs

* fix bugs when run kunlun

* fix bugs when compile

* update code according comment

* add profiler tree dump code

* add CMakeLists item

* reduce some contents for pr

[Paddle-Inference] support preln_ernie: add preln_embedding_eltwise_layernorm_fuse_pass, preln_skip_layernorm_fuse_pass (#39508)

* support preln_ernie

* support preln_ernie

* [CustomRuntime] Add DeviceManager

* [CustomRuntime] Add DeviceInterface

* [CustomRuntime] Add Stream, Event, DeviceGuard, CallbackManager

* [CustomRuntime] Add plug-in device

* [CustomRuntime] Memory module support PluggableDevice

* [CustomRuntime] Add WITH_PLUGGABLE_DEVICE cmake option

* update

* [API] update API doc based on comments, test=develop
Co-authored-by: Nqili93 <qili93@qq.com>

* move paddle/operators/math/functors.h
* move paddle/operators/math/compound_functors.h