* convert multihead to oss

* fix:bug

* fix:delete const cast

* fix:don't support bias_qk

* add vit pass

* fix:convert bug and add preln_residual_bias

* support length=-1

* add UT for convert

* add no_bias_qk support for gpu_multihead_op

* delete infer_shape depends on bias_qk

* oss just can be used in T4 and A*

* fix:change api for ROCM CI

* 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>

* [OpAttr]Support VarDesc* and vector<VarDesc*> in Attribute

* add unittest for inference predictor

* fix a bug in transpose2 about mkldnn

* fix bug

* move mkldnn activation kernel

* fix compile bugs

* fix compile bugs

* deal with conflict

* fix compile bugs

* fix windows compile bugs

* mkldnn unittest fix

* change mutable to alloc

* fix unittest bugs

* modify code according comment

* remove v2_transpose_reshape

* matmul_transpose_reshape

* reshape_transpose_matmul

* restore ut

* adjust old ut

* restore parallel UT ruels

* feedback from review

* Add unit tests

* matmul_v2 + activation

* matmuls + elementwise_add

* matmul_v2 postops

* transform matmul to v2

* opcompat

* fix fusing matmul with multipe outs

* add shape constraints

* remove unused vars

* change pass order

* - Unit tests to be debugged

- fix

- refactor

- diagnostic

- more diagnostic

- fix

- Fix number two

- fix

- fix

- fix

- alpha added

- more fixes

- compilation fix

- removed diagnostic code

- cosmetic fixes

* lint

* add alpha constraint

* merge matmul refactor

* trigger CI

* - fix

* - another fix

* code style

* add support for matmul+elementwise_add+activation

* code style

* fix bfloat16 bugs

* change append_binary to append_sum
Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* multihead matmul add fp16

* fix windows error

* fix rocm error

* fix rocm error

* remove cudaDeviceContext

* remove more template

* fix rocm compile

* remove alias name CUDADeviceContext

* fix compile

* fix tests

* revert changes

* add varlen_token_prune plugin, pass, convert

* fix RemoveNode in fuse_elewise_add_act_pass

* fix

* change pointer to share_ptr

* fix

* fix

* fix format

* fix

* fix graph_safe_remove_nodes

* Set more attrs in ReplaceScaleLossGradOp

* Fix typos

* Fix CI errors

* Add UT

* convfusionfp16

* convfusionfp16

* convfusionfp16

* fix CreateVarNode in multi_devices_graph_pass

* Revert "Fix var duplication bug for graph_to_program_pass (#44278)"

This reverts commit a2c4c86b.

* Rename BOOST_GET macros

* Fix conflicts

add shape attribute in fill_constant op converted from scale_loss_grad after convert graph to program (#43898)

* fix grad loss shape

* little change

* delete for_test

* add unittest for FLAGS_CONVERT_GRAPH_TO_PROGRAM

* avoid conflict

* add method for post ops

* format code

* gpd

* format style

* add matmul+act test

* implement matmul+activation

* whitespaces

* code style

* python code format

* Increase UT timeout

* code format

* update style

* generalize activation fuse passes

* change order

* Unify activation GPD

* Revert changes with op_act

* remove softmax mkldnn attrs

* set common name for act attributes

* whitespace

* append postops by helper function

* ut style

* revert changes related to quantization

* Reduce redundancy

* reduce number of parameters

* trigger CI

* validate attribute

* trim unit test

* add authors
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* squash cpp changes 1/N

* clean code
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* Quantize shape operator

* Add shape op to propagate scales pass

* reduce redundancy

* python code style

* fix int8 ut

* copy onnxruntime.dll to c++ test folder in windows

* remove ut that failed due to onnxrumtime.dll

* test_api_impl failed of diff

* use TARGET to make sure if the test exist; use POST_BUILD to add copy command

* feat(): dynamic_to_static support for ipu.

* fix(): format fix.

* fix format

* fix cpplint error

* use phi::errors

* fix format

* fix format

* fix(): add api to restore patched function.

* fix(): identity_loss uses cpu place as expected kernel type.

* doc(): add IPU dy2static related docs.

* fix(): combine test cases.

* fix format

* fix comment

* fix format

* apply comment

* fix compiling

* fix(): align docs.

* fix(): fix identity_loss function docs.

* fix(): adjust mean and sum in identity_loss.

* fix(): minor docs.

* move API to paddle.incubate.identity_loss

* fix UT
Co-authored-by: Nzhaorui chen <zhaoruic@graphcore.ai>

* conv_fusion

* Refactor quantization of immutable ops

* Fix code formatting

* Fix formatting

* Specify input names

* Fix formatting

* Change string to reference

* Formatting