* fix grad error of grounorm op when cuda version==11.7

* remove int8 fallback

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* Move classes from mkldnn_reuse.h to onednn_reuse.h

* Move more functions from mkldnn_helper.h to onednn_helpper.h

* Change MKLDNN to OneDNN in VLOG message
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* support onnx format quantized model

* update code

* add test

* add test

* fix

* fix test

* fix cmake

* update code

* change scale file path to calibration file path

* update code

* update code

* fix build bug

* fix build bugs

* fix

* fix

* fix compile error in gcc540

* remove extra attr of opmaker

* remove extra attr of gru

* revert scale

* fix bug of create_op

* add extra attr checker in infer_shape

* fix gelu

* [OpAttr]Fix complation error of XPU from Pool2dGradKernel

* test=kunlun

* [Eager] fix pool2d interface under eager mode

* add use_gpudnn for pool2d

* fix pool2d yaml conflicts

* fix pool2d yaml

* migrate memcpy to phi

* fix typo error

* fix typo error

* fix  bug and testcase

* fix typo, uniform_random_kernel.cc header

* fix Alloc pinned bug

* change GPUContext::GetPinnedPlace

* add GetPinnedPlace function

* add GetPinnedPlace function

* restore default throw error

* fix Unimplemented error

* skip StandaloneExecutor testcase

* delete memcpy_sig

* [Eager, Performance optimization] fix pool3d under eager mode

* polish code

* add config param for enable_dlnne and support calibration mode
* remove useless file
* refine code and add annotation
* refine code of Warnning tips

* move one_hot_v2, p_norm, p_norm_grad to phi

* move one_hot_v2, p_norm, p_norm_grad to phi

test=kunlun

* remove unused header file

* remove unused header file

test=kunlun

* fix: vit attention pass

* reflash CI

* move elementwise_sub and elementwise_sub_grad XPU kernel to PHI,test=kunlun

* modify code style,test=kunlun

* modify elementwise_subtract_grad_kernel.cc,test=kunlun

* modify elementwise_subtract_kernel.cc,test=kunlun

* modify elementwise_subtract_grad_kernel.cc,test=kunlun

* modify elementwise_kernel.cc and elementwise_subtract_kernel.cc,test=kunlun

* modify codestyle,test=kunlun

* modify elementwise_kernel.cc,test=kunlun

* [OpAttr]ksize of pool2d support Tensor type

* fix unittest

* add unittest

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* change header path

* change fluid import to phi

* vit_384_opt

* just support trt8

* padding + unpadding

* fix:unit test

* refactor:padding

* fix: change the position of round_up

* refactor: delete workspace

* add serialization funcs in phi

* migrate serialization utils

* set use_cudnn=true for conv2d

* refine the config rule of api_compat

* remove extra attr of abs in opmaker

* remove extra attrs of some op in opmaker

* remove is_test of conv

* fix attr getting of interpretercore

* fix inplace_abn

* fix bug

* fix bug of create_op

* refine code format

* 1. make list transformer into jit form.
2. fix some bugs in tensor_array, such as append.
3. enhance the function analysis visitor to recognize push/pop.
4. add setter/getter helper to deal with 2+ name sets.

* fix ci errors:
1. add to_tensor_array logic in convert_cond
2. fix IfExpr error.
3. fix erros while return_names or push_pop_names is None
4. fix slice error in a[i]=1 where a is tensor_array
5. add pop interface in Variable

* [Eager] fix spectral_norm interface under eager mode

* fix spectral_norm yaml config

* move stack op to phi, *test=kunlun

* move stack op to phi, *test=kunlun

* move stack op to phi, *test=kunlun

* move stack op to phi, *test=kunlun

* move stack op to phi, *test=kunlun

* move stack to phi,*test=kunlun