* [NPU] modify for model deepfm

* [NPU] unit test delete precision control

* [NPU] add more unit test

* revert elementwise_mul related modification

* [NPU] add more unit tests for concat

* [NPU] fix elementwise_mul to support broadcast, test=develop

* remove debug files, test=develop

* add axis support, test=develop

* [NPU] add int64 kernel for scale and slice, test=develop

* remove int64 for scale, test=develop

* Fix stop_gradient in RunProgramOp

* fix reference

Add paddle.nn.functional.sparse_attention API

    本个PR主要将sparse_attention功能在python层进行了一层封装，OP的主体代码见：#PR35676

    此外，对于封装的python 接口，增加了相应的单测。

* Add functor_primitives.h for kernel primtive api

* update

* move namespace kps

* subFunctor init_data

* delete InvalidArgumentError

* [NPU] fix matmul_v2 and utils.run_check, test=develop

* remove debug files, test=develop

* fix install_check, test=develop

* fix doc, test=develop

* fix review comments, test=develop

* [NPU] fix set_value, test=develop

* fix typo, test=develop

* fix typo, test=develop

* fix for conv op

* Minor change

* support CUDA Graph on PE

* add ut, fix CI compile

* reduce memory consumption

* fix CUDA 10 CI

* improve coverage

* improve python coverage

* [NPU] support NCL and NCL for BatchNorm, test=develop

* [NPU] remove debug files, test=develop

* update, test=develop

* Added oneDNN BF16 relu

* fixed typo

* refactored test, review fixes

* Remove unused header.

* Use ConvMKLDNNHandlerT for conv2d INT8.

* Use absolute module path to import.

* tmp

* added concat BF16/FP32 BWD oneDNN kernel

* minor change

* minor change

* fix for CI

* added formatting

* Reverted deleting static keyword

* added reviewers suggestions

* reverted deleting concat bf16 test file

* fixed concat tests

* [NPU] modify transpose2 and index_select_grad kernels for model xlnet

* add transpose2 int64_t unit test

* add more transpose2 unit tests

* update test_transpose_op_npu.py

* [npu] add box coder

* [npu] add box coder

* [NPU] Add group norm

* [NPU] Add group norm

* [NPU] Add group norm

* [NPU] Add group norm

* [NPU] Add group_norm op

* merge conflict of paddle_gtest_main.cc

* modify FLAGS_npu_precision_mode and default not to call aclSetCompileopt

Add sparse_attention OPs, python api will be added in next pr

* Add paddle.linalg.eig op

* remove comments

* remove comments

* extend batch_size to the origin

* add real times complex functor & destroy the backward complex output bug

* terminate output diff when input real tensors

* correct tiny doc errors

* move functions from eig_helper to svd_helper and remove eig_helper

* remove tensor.Resize

* remove no longer used code

* use existing lapack functions

* reply review comments 21/27

* remove .cu as this op is only executed on CPU

* remove const_cast & add const in argument list for read-only references

* fix sample code error in CI

* remove template typename Tbase and more

* remove eig exposure in paddle.*

* add 'name=None' in eig python implementation

* handle the unittest

* try to solve the unittest

* solve CI coverage

* remove no longer used code

* polish API doc and more

* reply review comments

* polish unittest, commit plan B

* polish unittest

* [HIP] fix op not support AMD GPU bug, the flag PADDLE_WITH_ROCM is invalid

* [HIP] fix op not support AMD GPU bug, the flag PADDLE_WITH_ROCM is invalid

* [HIP] fix op not support AMD GPU bug

* [hybrid] seed and dropout op support force-cpu

* [hybrid] seed and dropout op support force-cpu

* [hybrid] seed and dropout op support force-cpu

* [hybrid] seed and dropout op support force-cpu

* [hybrid] seed and dropout op support force-cpu

* [hybrid] fix seed ci failed issue

* add AsExtra for force_cpu of seed op

* fix extra op for expand, expand_as, tile, unstack

* fix unique unstack dim 0

* Update expand_v2_op.cc

* fix unique_op format

* A leap of try for cudaLaunchCooperativeKernel

* fix bugs

* Totally replace the lar cuda kernel

* Fix bugs

* fix code according to comments

* fix codes according to  review comments

* adding some function overload

* relocate the power operation.

* refactored reshape multiop kernel and added flatten1/2 kernels

* added formatting for flatten tests

* CI fix

* disabled reshape_kernel ops after succesful CI run

* minor fix