* #1 migrate dist-related type()-> dtype()

* move datatype function from pten -> fluid/framework

* change type() in imperative into convert(dtype())

* modify xx_tensor->type into xx_tensor->dtype

* change the set_type interface and the caller

* modify xx_tensor.type into xx_tensor.dtype

* fix mutable_data(place, dtype())

* change caller of mutable_data in pten and distributed

* change the caller of mutable_data in fluid/framework

* change the caller of mutable_data in imperative directory

* mutable_data: inference

* update the call of mutable_data

* transfer MakePenScalarArray MakePtenScalar ResetHolderWithType

* pass the compile. the next step is remove VarType in Pten

* fix all and remove VarType from pten. success in linux. Next task is other platform

* fix conflict with develop

* fix compiled error

* Fix reset conversion

* fix conflict

* fix compiled problem

* fix typo

* Fix << in tensor_utils.cc

* fix type->dtype

* fix unittest

* fix tensor init constructor

* fix DataTypeSize for BFloat16

* fix code style

* fix npu compiled error

* fix npu

* compile npu sucessfully

* fix conflict

* fix conflict
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* added shape oneDNN kernel

* removed unnecessary import from test

* added skipping tests for GPU

* refactoring

* refactored shape kernel

* added tests in new framework

* removed one line

* minor change

* added newline at EOF

* added formatting

* added attributes as extra

* - 38126 potential fix

* - fix

* - build fix

* - another candidate fix

* - compilation fix

* - another fix

* - Fix to activation of NHWC being first oneDNN op in chain on oneDNN ops

* - compilation fix

* - added NHWC reotating for elementwise being first op

* - compilation fix

* - compilation fix

* - Added UT

* - cosmetic fixes

* - more unlikely

* - compilation fix

* - removed redundant definition

* - fix

* - Fixes

* - compilation fix for windows

* Mish

* Change exp() library

* mish fuse pass

* mish attrs

* fixes

* mishop maker

* remove attrs

* mish kernal for bf16

* fc+mish fuse

* fix code format error

* Resolve merge conflicts

* Update mish operator version

* update mish variable to new naming convention

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Patched python level LoDTensor

* Merge Tensor into DenseTensor

* Fixed namespace issues,test=allcases

* Fixed merge issues

* Fixed inference issues

* Fixed NPU test issues

* Fixed merge issues

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Fixed example code failure

* Polished function names, removed duplicated forward declarations

* base changes for mul reimplementation

* empty commit

* tmp save

* full implementation of mul bf16/fp32 fwd bwd

* CI fix

* CI rerun

* changed unity build cmake to avoid gpu issues

* removed mul mkldnn from unity build

* added skipping tests if not cpu_bf16

* CI fix

* CI fix

* CI fix

* fix conv act int8 scale

* add unit test for conv+hard_swish

* added exp activation and use_dst_for_bwd kernels

* CI RERUN

* minor change

* fix for matmul_v2 broadcasting

* fix for output shape not broadcasted

* 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