* working test for padding only

* added full conv2d grad kernel

* removed some trash

* minor change

* Ci fix

* format fix

* First set of fixes

* - Make more likely to GetBlob find a blobs

* - Lint

* add map_matmul passes to quant2_int8_mkldnn_pass

* fix fc+act fuse (activation scale)

* ci fix, c++17 structured bindings not available

* fix ci static check

* add conv_gelu_mkldnn_fuse_pass

* add post ops

* reshape+transpose+matmul_v2

* in_name->input_name

* fix pr-ci-static-check

* quantize slice op

* correct test

* fix code formatting

* refactoring matmul hierarchy

* review fix

* review fix

* review_FIX-part2

* Add new unittests

* Replace I with O channel for filter groups

* Undo changes affecting other operators

* Fix oneDNN namespace typo

* Fix code format error

* support data_format='NHWC' for prelu channel mode

* Add second batch of deprecated mkldnn namespace and macro changes

* Unlock CI

* Fix temporary namespace alias placing

* disable copying of datatype when sharing buffer between two tensors.
* fix for mkldnn operator kernels (elementwise_add, sum, softplus, softmax, scale, activation), mannually set the data type when reusing memory by ShareBufferWith.

* Use oneDNN reorder instead of custom one

* Fix whitespace typo

* Fix Code format error

* Incorporating feedback

* Remove unncessary reorder

* Support GIOHW format

* Fix code format error

* Change first batch of mkldnn headers and namespace names to dnnl

* Revert changes to tensor.h, which require approval

* Format changes with pre-commit

* Add int32 tests

* Fix int32 tests and call GetDataFromTensor for int32

* Fix test

* Added BF16 Pool2d grad

* upstream pulled

* fix for CI

* fixes after review

* added softplus + activation fuse plass

* minor change

* implemented reviewer suggestion

* minor fix

* minor fix

* added scale_out parameter

* minor fix

* fix for iScan CI

* conditionally disabled logs

* refactored pass builder

* added stack oneDNN FP32 op

* minor change

* CI fix

* added skipping for gpus

* fix for stack op

* CI fix

* CI fix

* Added comment

* CI fix

* - Cached bias scales

* - Fix

* - fixes after review

* - second round of fixes after internal review

* - WIP

- compilation fix

- fix

- fixes

- fix

- fix

- fix again

- fix

- another fix

- another compilation fix

- fix

- fix

- fix

- lint

* - pool2d partially stripped from cache

- pool2d partially stripped of caching

* - compilation fix

* - compilation fix

* - Fix to UT of caching

* - Enabling test_conv3d_mkldnn

* - conv_transpose stripped of cache

* - compilation fix

* - fix

* - fix

* - compilation fix

* - fix

* Reverted disabling caching of conv2d

* - compilation fix

* - ut reverted

* optimization for layernorm

* further refactoring

* added reviewer suggestions

* added conv + hard_sigmoid fuse pass

* Removed IsOptional() statements

* Reverted removing optional

* fix matmul dim error

* fix wrong dim check in matmul

* added base changes for matmul_v2+trans+resh fuse pass

* added full matmul_v2+transpose+reshape pass

* removed a file added by mistake

* added reviewers suggestions

* Changed ops type in checking capatibility version

* Deteled one statement

* added softplus

* refactored softplus op

* deleted unnecessary file

* added missing file

* added formatting

* disabled tests if GPU is used

* added reviewer suggestion

* unified softplus kernel

This reverts commit bf748f24.

- Lint

- Merge with develop

- lint

* fix for conv op

* Minor change

* 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

* 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

* - candidate fix

* - More fixes to #34554

* - another incosnstent fix to key

* - Remvoed unneeded line

* - matching the cache behaviour to other ops

* Create stateful OneDNNAXPYHandler object.

This makes it possible to call it multiple times without recreating the
oneDNN primitives every time.

* Prepare SGDOpKernel to reuse its implementation from OneDNN kernel.

* OneDNN SGD kernel.

* Update call to use new OneDNNAXPYHandler object api.

* Setup seed in proper place.

* Enable OneDNN kernel only for single case.

* For dense param and sparse grad.

* Small refactor.

* Enable oneDNN by op attr or by cmd line flag.

* Use int64_t type for number of elements.

* Support dense param and grad from OneDNN kernel.

* Enable SGD OneDNN kernel when use MP BF16 optimizer.

* Force non-copyable/movable OneDNNAXPYHandler.

* Reuse OneDNNAXPYHandler for spare tensors in SUM op.

* Fix SFINAE rules.

* Remove recording event inside AXPY.

* Get rid of internal primitive caching.

* Stop use PP cache mechanims to store mem and primitive obj.
* Handler obj store and reuse needed desc & prim

* Do not derive from MKLDNNHandlerT

* - REorder disabling caching

* - compilation fix

* - another compilation fix

* - another compilation fix

* - compilation fix

* - Fix

* - yet another compilation fix

* - suppresingly another compilation fix

* - lint

* - fix after review

* - fix

* fixed slice error

* added handling of StartsTensor+List and EndsTensor+List

* fix for ppyolo model