* add bitwise_not trt converter

* run pre-commit

* modify neg_one_tensor_dims init way

* fix BOOL type support requires TensorRT 8.4

* fix int8 & uint8 type

* improve data type readability

* modify filter logic

* fix coverage CI

* perfect structure kernel registry

* fix ci bugs

* add fused_yaml fused_backward

* fix eager_funciton bug

* add some comment of fused yaml file

* add 'support_dygraph_mode' configuration in fused yaml

* delete some 'fused_api.h' in include file

* add fused flag in api_gen

* [CustomOP Inplace] Automap inplace dtype and shape, prepare for vector<Tensor> output

* delete dtype,shape func of multi_inplace op

* [CustomOP Inplace] Automap inplace dtype and shape, support vector<Tensor> output

* support assign op

* support assign infer_var_type

* change code according to review

* change code according to review

* only save 'get_infer_var_type_func'

* rest file mode

This reverts commit 9c238d2b.

* unbind support bool dtype

* replace np.array_equal

fix bug

remove useless

fix bug

add pybind

remove log

fix style

fix style

change api

instance_norm_grad kernel. Fix bugs that the data type of input is different from output in reduce_sum kernel. test=kunlun

* fix_gcc12_error

* fix gcc12 error

* fix gcc12 error

* fix_gcc12_error

* patch on eigen3 for fixing gcc12 error

* Update multiary.cc

* extract Op and OPMaker to .h

* extend pattern for fused_op

* set "with_residual" default to false

* adjust fuse passes

* remove fc+eltwise flag

* fused_output_scale

* activation attrs

* remove extra attrs

* fix int8/bf16 unit tests

* simplify RecomputeOutputDims

* remove unused method

* Add description for attributes

* add extra check

* adjust op compats

* update quantize test

* fix protobuf parsing error

* fix int8 performance

* fused elementwises

* merge develop

* remove activation

* restore activation for existing add/sub ops

* fix mea compile error

* support 2-D bias

* add inline to avoid compile error

* polish codes

[Fix Bug] fix get_new_shape and get_new_data_from_tensor not support fallback to CPU on custom device (#52002)

* codestyle up027

* add to pyproject.toml

* add all_reduce, reduce kernel and api

* fix all_reduce reduce ut

fix reduce op maker conflict

fix merge conflicts

* fix conflicts, rename ReduceOp->ReduceBaseOp in reduce_ops

rename allreduce op, to remove

* fix code format

fix comments

* modify test_collective_reduce_api ut timeout

* fix PR-CI-Build

fix comments: format phi operator

* decouple memory copy

* fix ci bugs

* fix ci compile bugs

* fix rocm compile

* fix ci bugs

* decouple memory

* deal with conflict

* fix xpu compile bugs

* fix xpu bugs

* deal with xpu bugs

* fix cmake bugs

* fix windows bugs

* fix ci bugs

* fix ci bugs

* delete redundance code

* add code for pybind

* fix py3 bugs

* fix ci bugs

* [CUSTOM DEVICE]analysis predictor custom device support

* del debug log

* fix momentum dtype infer

* fix momentum datatype

* fix on cpu

* add momentum

* untracked files

* kthvalue perf

* remove unused files

* fix isnan

* fix isnan2

* fix bug

* try to fix rocm error

* first version, notest

* return final rst, notest

* use infinity() instead of max

* ut structure

* start up of ut

* generate lse

* update

* add depense

* reconstruct cmake

* move file

* add memory efficient attention and fix blasimpl

* update

* update cmake

* add namespace

* update cmake

* use .cu

* update for pad3d

* bug fix

* bug fix

* update

* bug fix

* update enforce

* add test case

* merge the lse pad

* fix kernel_fn of backward

* fix PADDLE_ENFORCE_EQ and phi_api

* fix PADDLE_ENFORCE

* fix PADDLE_ENFORCE

* rerun coverage

* fix memory efficient attention test

* rerun ci

* add cuda version condition

* add cuda version condition

* delete WIP test

* replace PADDLE_ENFORCE

* edit the namespace of datatype in multiple.cc

* rerun

* rerun

---------
Co-authored-by: Nliuyuang <liuyuang@baidu.com>

[Polish Log] Polish Tensor operants' log: 'OperantsManager reusing XXX mode API {func_name}' (#51991)

* [Polish Log] Polish Tensor operants' log: 'OperantsManager reusing XXX mode API {func_name}'

* Make API name more precise

* delete prim flag for matmul_2_grad

* delete prim flag for matmul_2_grad

* add new setgradoutmeta for matmul_double_grad_node

* modify test and delete log

* deal with review