* Move valid check from python to kernel

* fix error throw

* fix

* invalid label check

* fix

* Revert "fix"

This reverts commit 79fad6799cfa4b30423dbc84e67d7d843d22b84a.

* Revert "invalid label check"

This reverts commit 402a9707390ad5386b3222e85844b92d2e9b9fa4.

* Revert "fix"

This reverts commit 09ba3080ee0587447f875c19cdf060485f15ae3b.

* Revert "fix error throw"

This reverts commit a901bfcc2179d5c120ec29af766f392b122dab52.

* Revert "Move valid check from python to kernel"

This reverts commit baa03cc4ef82d8d45516c30dfb52bf5aead30748.

* final fix

* fix

* fix

Add index_select, index_select_grad, reduce_min kernel and their unittests for kunlun. Add registers of index_select, index_select_grad, reduce_min, sqrt, sqrt_grad to xpu2_op_list.test=kunlun. (#46557)

* fix P40 topk: Make the optimized topk compatible with P40.

* fix P40 topk: Make the optimized topk compatible with P40.

* fix P40 topk: Make the optimized topk compatible with P40.

* [XPU] update xpu cmake to 0923. test=kunlun

* [XPU] update xpu cmake to 0928. test=kunlun

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* Relu6

* remove fluid handler

* add individual kernel signature

* coding style

* replace bounded_relu with clip

* whitespace

* code style

* fix concat bug

* fix ci bugs

* fix ci bugs

* add gpu kernel for transfer layout

* comment error throw

* fix: flag setting in testcase; add condition check for raising error

* fix typo

* fix: add error type for PADDLE_THROW

* remove kernel fallback in data_transfer.cc

* remove useless variable definition

* Optimize performance of depthwise_conv_fwd

* fix

* add phi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

* first commit

* clarify the quotes

* change code style format

* support bfloat16

* Sum kernel migrated to phi

* Static cast added, file name changed

* OneDNNGetDataType to uppercase

* refactoring

* AddOneDNNHandler changed to SumOneDNNHandler

* Convert slice+grad oneDNN fluid kernels to PHI

* Change mutable_data to Alloc

* Refactor licences

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* gelu fwd

* sort activations

* gelu gradient

* remove unused macros

* merge conflicts

* fix merge conflicts

* remove extra contraint from gelu op

* 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

* 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

[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

* 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