* set use_cudnn=true for conv2d

* clear opmaker of matmul_v2

* fix bug of set_attr

* add extra attr checker in infer_shape

* remove v2_transpose_reshape

* matmul_transpose_reshape

* reshape_transpose_matmul

* Add int8 support for matmulV2

* restore ut

* adjust old ut

* restore parallel UT ruels

* remove mkldnn code from base ops

* move enforces to pass

* remove duplicated functions

* delete duplicated enforces

* feedback from review

* add comments to variables

* enable eltwise support

* dynamic attribute

* remove fusepass tests from op test

* remove fuse pass cases from op test

* revert introduction of dynamic attributes

* style
Co-authored-by: Nwozna <joanna.wozna@intel.com>

* matmul refactor

* remove UT which only check ENFORCE output

* code format

* improve memory usage

* - fix to crash

- more fixes

- added diagnostic

- matmul output fixes.

- compilation fix

- stop rotating too small shapes

* - Added enabling of matmul_V2 onednn test

* replace prefix pt by pd

* replace added kernel

* revert util change

* pd kernel to phi

* resolve conflict

* resolve conflict

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* Unify paddle/pten::framework::ddim into pten::ddim

* fix paddle namespace

* compile sucessfully

* fix npu src file

* fix conflict

* fix conflict

* fix tensorrt compiler error

* fix conflict

* fix conflict

* fix tesst file conflict

* fix conflict

* fix mlu file conflict

* fix mlu file conflict

* fix cinn header file conflict

* fix conflict

* fix conflict

* fix conflict

* fix conflict

* remove register of matmul_v2 kernel

* delete matmul_v2 grad register in fluid

* rename general grad infermeta func

* remove useless code

* #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>

* add has_attr for arg map context

* skip useless attr now

* skip attr if not exists

* fix typo

* move grad get expected pten kernel args

* fix reduce sum error

* fix element_sub_grad failed

* revert kernel judge change

* refactor matmul directory in pten

* fix merge conflict

* add dot_grad kernel

* add dot_grad kernel in pten

* add matmul_grad kernel

* update the code

* delete useless code in fluid

* fix some bug of running matmul grad kernel

* fix merge conflict

* refactor some code

* refactor code

* update mkldnn matmul_v2_transpose_reshape_fuse_pass ut

* update mkldnn matmul_v2_transpose_reshape_fuse_pass ut

* update ut

* update ut

* reshape+transpose+matmul_v2

* in_name->input_name

* fix pr-ci-static-check

* native commit for triple grad of sigmod

* Updated unittests files

* init functional jacobian api

* Updated trible_test func

* Updated gradient_checker & test_script

* 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

* fix dygraph grad to support high differential

* polish API docstring

* Updated gradient checker and some related files

* fix double grad strip error for high differential

* fix double grad strip error for high differential

* Add Sigmoid triple grad tests

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

* Updated triple grad teses func

* Use np.random to initialize ddx

* Updated triple_grad_check func

* add todo for gradient checker and refine some comments

* remove additional code

* add test for warnging in backward.py

* format python code

* support multi input in triple gradient checker

* Add matmul triple grad kernel

* Updated comments of TODO

* Supported some special tests

* Change code-format to follow CI std

* Updated gradient_checker.py

* Fix conflicts

* Removed unnecessary printing log

* Change code style to follow CI std
Co-authored-by: Nlevi131 <limaolin01@baidu.com>
Co-authored-by: NJiabin Yang <360788950@qq.com>

* 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

* add the matmul v2 grad kernel

* relief the test case time

* update the test case for the matmul double grad

* remove the unsed code for the matmul double grad

* update the test case for the double grad matmul

* remove the unused code in dot

* Add the extra flag for the some ops

* fix the compile problem in matmul extra

* test version of matmul_v2

* added matmul_v2 grad kernel

* minor changes

* minor changes

* minor change for CI approval

* CI fix

* CI fix

* trigger CI

* changes after review, not working yet

* moved ops to anonymous namespaces

* changes after review

* added matmul_v2 bf16/fp32 FWD kernel

added matmul_v2 bf16/fp32 FWD kernel

* added formatting

* removed some tests due to timeout in CI

* refactored tests

* merged tests classes into one file

* minor change

* removed test guard for CUDA

* remove skipIf

* changes after review

* formated one file

* minor change

* added skipping UT in CUDA place

* modify matmul Op to complex template types

* remove complex64/128 head file

* type promotion for grad

* add type promotion for div op

* basic impl of type promote

* add comment & another testcase

* fix complex bugs & support python op promote type

* fix failed unittests & polish code

* add unittest for coverage

* change to only promote complex type

* polish code details

* polish several comments

* add complex64 and complex128 type; add +-*/@ and slice opreator for complex types

* add test cases for complex elementwise, matmul and getitem unittest

* add test cases for complex types

* add test cases for complex matmul unittest

* add matmul_v2