* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* add bfloat16 to selu_grad to pass CI

* fix selu grad compilation error

* 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.

* select highest priority layout

* opt performance, save virtual table find

* add datatype check for ParseKernelKeyByInputArgs

* polish error message

* Actually, einsum has vector<Tensor> inpute with DataType::COMPLEX64, see test_einsum_v2.py

* headerfile remove enforce.h

* [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

* change BackendSet from 64bits to 32bits

* fix _MSC_VER error, __lzcnt32->__lzcnt

* fix __GNUC__ error, __builtin_clzl->__builtin_clz

* 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

* phi support xpu black list

* fix clip_extra code in remove_training_info

* revert rnn opmaker clear

* add readme for phi

* polish details, test=document_fix

* enable eager mode on xpu, test=kunlun

* add numpy support to xpu

* fix tensor using error

* fix  error, test=kunlun

* fix failed tests, test=kunlun

* 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

* clear extra attrs of look_up_table_v2 in opmaker

* fix bug

* Convert slice+grad oneDNN fluid kernels to PHI

* Change mutable_data to Alloc

* Refactor licences