* sort out index

* for add_bias

* migrate sigmoid with cross entropy, and tile xpu kernels to phi, test=kunlun

* migrate add_n kernep to phi, test=kunlun

* residual_no_bias

* comments

* more ut

* fix input

[PHI] Migrate concat+grad, expand+grad, fill_constant, nearest_interp and bilinear_interp oneDNN kernels (#45863)

* Migrate concat+grad, expand+grad, fill_constant, nearest_interp_v2 and bilinear_interp_v2 oneDNN kernels to PHI

* Remove old namespace variable

* Fix invalid out dims error

* Add mutable_data method to concat output

* Add check for -1 dim before computing out_dims

* Capitalize oneDNNGetDataType function name

* Change fill_constant kernel to correct PHI kernel

* Attempt to fix dims error

* Fix fill_constant (full) kernel

* Remove trt_reshape2_matmul_fuse_pass

* [CodeStyle] add pre-commit hook `remove-tabs` for cpp files

* empty commit, test=document_fix

* [CodeStyle] remove tabs in cpp files

* update comment format

* [Eager] polish clone interface

* rm clone in python, add clone in eager_method.cc

* unexpose audio ParameterError

* clean audio utils api

* [Paddle Inference]support n lookup_tables fuse to embeddinglayernorm(1): add some funtion for embedding

uniform logger manager in FleetAPI.
hidde API under distributed/utils which users don't need.

* optimize adaptive_pooling_op (forward)

* fix bug of AdaptiveKernelMaxPool2dWithIdx

* fix bug of AdaptiveKernelPool2D

* init

* remove softmaxop

* merge dev

* correct dir

* style

* Convert split, pad and pad3d kernels

* Convert slice+grad oneDNN fluid kernels to PHI

* change out->mutable_data to dev_ctx.Alloc

* First approach

* Shape kernel corrected

* Compilation error fixed

* Resize corrected

* Registered types added

* Mistake corrected & types added

* sum kernel deleted

* update for py3.6.

* update for py_3.6

* Support matmul_v2 in PaddleTensorRT