* Added oneDNN BF16 relu

* fixed typo

* refactored test, review fixes

* fix bugs in HybridParallelClipGrad of hybrid_parallel_optimizer

* update

* update

* 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

* fix raw optim

* pre-commit test file
Co-authored-by: Nsneaxiy <sneaxiy@126.com>

* add basic support for CUDA Graph

* fix ci compile error

* fix LOG print, fix windows CI

* follow comments and update

* small fix for default ctor

* fix rocm compile error

* fix CPU compile error

* update func name

* skip cpu

* update unittest

* update unittest

* fix cusparse compile problem, test=develop

* Modify file permissions

* init functional jacobian api

* finish test with dtype float32

* add float64 test case

* polish code

* use atol=1e-5 with dtype float64

* fix for ci

* set timeout for test_jacobian

* init hessian API

* save status

* polish API docstring

* modify docstring

* add utils.py

* save status

* fix dygraph double grad dtype error when calling for high differential senario

* reinvoke ci

* test_hessian.py is ok

* polish hessian API

* init vhp

* Revert "init vhp"

This reverts commit cbd4d3b66abe82b0ac10721b9eddeb7d82e0a1c8.

* add test for partial_engine.cc

* modify numerical_delta with dtype float32

* merge fix for dtype float64

* spell fix

* polish code

* rm _stop_gradient_pre_process
Co-authored-by: NJiabinYang <360788950@qq.com>

* add align for WorkQueue

* add spinlock

* merge spinlock

* [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 op paddle.device.cuda.get_device_name

* fix some bugs

* fix some bugs

* fix error message bugs

* fix en docs

* fix bugs

* fix bugs

* fix bugs

* add error message test case

* add get_device_name and get_device_capability

* fix review

* fix docs bug

* fix docs

* fix docs

* Initial Commit

* add unittest and add error information

* modify doc

* fix some error

* fix some word

* fix bug cudaDeviceProp* and modify error explanation

* fix cudaDeviceProp* error and unnitest samples

* fix hip error and PADDLE_WITH_HIP

* update style

* fix error is_compiled_with_cuda

* fix paddle.device.cuda.get_device_properties

* fix error for multi thread safe

* update style

* merge conflict

* modify after mentor review

* update style

* delete word

* fix unittest error for windows

* support string input and modify some code

* modify doc to support string input

* fix error for express information

* fix error for express information

* fix unnitest for windows

* fix device.startswith('gpu:')

* format error and doc

* fix after review

* format code

* fix error for doc compile

* fix error for doc compile

* fix error for doc compile

* fix error for doc compile

* fix error for doc compile

* fix py2 error

* fix wrong words and doc

* fix _gpuDeviceProperties

* test=document_fix

* add roi_align in vision/ops.py

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

* ps gpu dump

* remove log

* [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

remove recent linalg api in paddle.init;
add args 'name' in some new linalg api interface
same change in develop branch to #36112

* fix dygraph double grad dtype error when calling for high differential senario

* reinvoke ci

* add test for partial_engine.cc