* remove invoke yaml

* fix ci bugs

* fix sub sign reverse for mkldnn

* refactor code as comment

* remove useless

* format code

* fix beta bug in fill_constant_batch_size_like

* fix bugs of mp

* fix bugs of mp

* update

* update

* fix bug

* Optimize topk's performance when k is small and input_width is large

* 修改blockdim设置逻辑

* Update top_k_function_cuda.h

* fix sum bug

* fix ci bugs

* fix ci bugs

* update code according comment

* first commit

* clarify the quotes

* change code style format

* rerun for ci

* add fp16 support

* update

* update half

* code format

* fix unittest

* fix rocm compile error

* code format

* code format

* fix rocm compile error

* fix rocm compile error

This reverts commit e8de9dfd.

* use cinn in the paddle inference

* fix some cmake errors

* Avoid division by zero in the arange_kernel.

* Avoid dynamic ops.

* Remove some useless codes.

* Use OpTransInfo to encapsulate some codes used in the build_cinn_pass.

* 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] 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

* 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