shape support bf16

* add xpu tile and concat kernel int64, test=kunlun

* fix previous xpu dataoader bug, and add maxpool3dgrad special dim support, test=kunlun

* [Tensor Operants & Prim-Relevant] Tensor supports compare operants

* fix dependence of test_comp_static

* fix unit test

* resgister for ftt_r2c, ftt_c2_r

* fix clang-format

* Add output defs for argsort kernel

* Update argsort_kernel.cc

* Update argsort_kernel.cu

* Update argsort_kernel.cc

* finish task

* fix some question.

* fix error

* change unittest:zeroDim.

* add multinomial output defs

* fix register on gpu

* [AMP OP&Test] Support float & bfloat16 when using cub

* fix compile error

* fix

* fix rocm compile error

* [phi][jit] rm Softmax StrideScal

* [phi][jit] rm kStrideScal

* [phi][jit] fix Softmax clean omission

* [phi][jit] fix Softmax clean omission

* [phi][jit] fix StrideScal clean omission

* [phi][jit] fix mkl SoftmaxKernel clean omission

* [phi][jit] fix test error

* [phi][jit] fix test error

* [phi][jit] rm NCHW16CMulNC

* [phi][jit] fix test error

* [phi][jit] rm HSum HMax

* [phi][jit] fix test error

* [phi][jit] rm StrideASum

* add AUTHORS.md

* [phi][jit] fix test error

* add bn vjp

* fix example

* fix code

* fix code

* fix cinn case

* fix code

* fix example

* fix code

* fix example

* fix example

* init unit test commit, contains register thinking

* support inplace

* get inplaced x.grad

* Try support inplace and hook at the same time

* Support inplace, need debug

* Support inplace successfully

* Inplace use Tensor&, consistent with Tensor*

* fix MapPlainOutputs bug

* fix double grad inplace error

* rename flash_attn_raw to flash_attn_unpadded

* fix static api

* fix static return

* add fp32 grad plus fp16 param in adamw

* add python UT

* fix test case

* in test_adamw_op py file, force the moment2 value LE 0

* add a compare option

* remove bf16 fused adam kernel case

* remove contexts in tensor_utils

* update from_blob

* update from_blob

* update from_blob

* fix bug

* fix bug

* add rnn and searchsorted output defs

* add gpu kernel

* remove fluid thread_data_registry

* update

* fix bug

* fix atan2

* fix

* fix

* fix

* fix error

* fix error

* fix

* skip copy beta pow when use_global_beta_pow=1

* revert infermeta

* register dtype and place

* refine code

* Add output defs for generate_proposals,instance_norm kernel

* fix

* fix eig

* fix

* fix

* fix

* fix

* add assign composite backward op

* fix log msg

* code style

* fix comp rule

* replace assign with by_pass

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* Pr 50885 (#7)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

* add unittest

* fix typo

* fix typo

* fix map.at

* fix find

* fix test

* fix cinn cache key structure realize

* using ordered map for attributes

* add test by review advice

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix code in a dy2static-friendly way.

* [dystatic] add hooker for prim

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix cast prim and vjp dtype mapping error bug

* Cxx prim custom vjp (#8)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* Pr 50885 (#7)

* [CINN]Enhance CacheKey hash logic by considering input dtypes (#50557)

* [CINN]Enhance CacheKey hash logic by considering input dtypes

---------
Co-authored-by: Njiangcheng <thisjiang@qq.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix code in a dy2static-friendly way.

* [dystatic] add hooker for prim

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [prim] enable dygraph_to_static to support custom_vjp

* fix cast prim and vjp dtype mapping error bug

* [dy2static-ci] fix dy2static ci errors.

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>

* [Prim] enable whitelist and blacklist for custom_vjp

* support softmax grad

* remove additional code

* add test back

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Njiangcheng <thisjiang@qq.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>
Co-authored-by: Nxiongkun <807377414@qq.com>

* untracked files

* prelu_perf

* remove unused files

* upd

* fix bug

* [XPU] add int32,fp32 support for conv2d_transpose*

* update

* Revert "Revert "【Hackathon No.67】remove operator.h in blas.h (#50989)" (#51467)"

This reverts commit b9d91531.

* remove cout

* add header

* fix missing header

* fix refer fluid error

* fix missing header

* 更新 repeat_interleave_grad_kernel_impl.h

Change to phi style datatype.

* 更新 repeat_interleave_grad_kernel_impl.h

Fix missing header

* datatype fluid -> phi

* paddle::experimental -> phi

* fix reference error

* fix reference error

* fix reference error

* fix errors

* fix missing FLAGS

* fix missing headers

* fix missing headers

* fix missing headers

* fix missing headers

* fix missing header

* fix missing header

* fix errors

* Delete randperm raw op

* fix

* test_get_kernel

* add invoke signature

* change reduce_max

* change frobenius_norm

* reset reduce_max according to composite and change reduce_all

* fix the bug when Scalar(*)

* fix 'scalar when support_tensor'

* change code according to review

* change 'keep_signature' to 'manual_signature' and add some erro info