* Fused elementwises kernels and ops

* change fuse pass name

* adjust .pbtxt files

* adjust quantization attributes

* add missing arguments and fix others, review fixed

* simplify fused kernel registration

* fix elementwise unit tests

* reuse one fused elementwise op

* adjust proto

* Add supported datatypes

* Change 'Scale' to 'scale' in tests, change some tests to onednn

* Revert breaking changes

* Fix unit tests

* Delete obsolete test cases

* Delete commented out code

* Fix codestyle

* delete temporary condition

* fix conflicts and delete duplicate fusing

* Fix code after merge

* Move tests to new directory

* fix tests volatility

* Rename test_elementwise_add_onednn_op.py to test_elementwise_add_mkldnn_op.py

* Update CMakeLists.txt add mkldnn op test

---------
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* update

* fix bug

* test

* test

* update

* update mutable_data

* fix bug

* update

* fix bug

* update output type reg

* update

* update

* trans fused batch norm Compute function

* trans batch norm register info to phi

* trans fused batch norm grad Compute

* trans batch norm grad register info

* add sig file

* update sig file

* Update fused_bn_activation_kernel.cu

* Update fused_bn_activation_grad_kernel.cu

* fix

* Rename fused_bn_activation_kernel_grad.cu to fused_bn_activation_kernel.cu

* fix

* fix

* fix CudnnDataType error

* fix

* fix include

* update

* add #if

* add fused bn act to cmakelist.txt

* update  cmakelist

* fix #ifdef error

* add timeout set

* add env set

* fix

* fix

* Update fused_bn_activation_sig.cc

* static graph autogen code support for softmax op

* bug fixed

* fix PR-CI-Windows error

* fix CI error

* bug fixed

* fix conflicts

* mv InstanceNorm

* modify op_version.yaml

* modify add Operator:: in get_expected_kernel_func.cc

* rm gradexpectedkernel

* add extra

* add float epsilon=1e-5

* [phi]mv StftKernel to phi

* [phi] fix KernelSignature

* [phi]fix arr error

* [phi] Disable check_dygraph

* [phi]fix include

* [phi] rewrite mutable_data, add output register

* [phi] fix  Alloc

* [phi] fix Alloc again

* [phi] fix mutable_data

* [phi] fix onesided_out Resize

* update

* fix bug

* fix output type def

* sequence_mask functionalization

* fix sequence_mask test

* update

* update

* [phi][api] add autogen code coalesce_tensor

* [phi][api]fix args

* [phi][api] supplement attrs

* Rename randint_raw and move it to legacy

* Update fetch_v2_op.cc

* Update randint_kernel.cc

* Update randint_kernel.cu

* Empty Commit to setup deployments

* update

* fix bug

* support parsing fixed kernel data_type

* update op_compat

* update

* [phi] move sequence_pool kernel to phi

* mv kernels impl

* fix parameter error

* clean include

* fix compat filename

* [phi] move fluid sequence_pool_grad to phi

* [phi][compat] sig rm GradVarName

* [phi] fix sequence_pool out type

* [phi] rm impl, add const string

* [phi] fix const str

* fix sequence_pooling cmake

* [phi] mv sequence_pooling_test

* [phi] fix grad sig

* [phi] fix sequence_pool is_test error

* [phi] fix sequence_pooling gpu include

* [phi] mv to impl

* [phi] fix SequencePoolFunctor cu include

* [phi] modify out max_index int32_t

* [phi] add pooltype mapping determine

* [phi] fix sequence_pool_sig

* [phi] fix sequence_pool_sig sum

* [phi] try ci

* [phi] fix max_index optional

* [static op generation] triangular_solve

* [phi] mv triangular_solve_grad to static_backward

* [phi] fix import

* [phi] mv to ops.yaml、 backward.yaml

* fix forward attr

* [phi] fix triangular_solve_grad args

* support register single .cu file

* add register GPU kernel function

* add sig file

* trans fused feedforward compute function to phi

* remove fluid include

* delete old register info

* fix build error

* trans fused feedforward grad xpu to phi

* support the 'generate_proposals' for generating static graph ops

* fix bug

* fix bug

* Update ops.yaml

fix bug

* remove the generate_proposals_v2_op.cc from CMakeLists.txt

* fix bug

* fix bug

* delete overwrite from gather_grad

* fix

* Update gather_grad_kernel.cc

* remove axis from elementwise_grad

* Update elementwise_sig.cc

* support auto generate for op adam optimizer

* remove unnecessary files

* support auto generate for op adamw optimizer

* support auto generate for op merged_adam optimizer

* use manual_signature in adam_

* add autogen code support for mean_all op

* bug fixed

* bug fixed

* bug fixed

* fix graph_reindex

* fix

* Update op_compat.yaml

* reorder MatrixRank

* fix

* fix

* fix

* fix

* fix

* add autogen code support for rnn op

* fix bug

* fix bug

* add autogen code support for lu

* fix bug

* fix bug

* fix bug

* fix bug

* reorder_prior_box

* fix

* fix bug in parse args

* fix bug

* recover legacy_*.yaml

* change 'Out' to Output

1. modify set_value op, use Scalars to represent attr `values`, instead of a bunch of attributs of various types; (#52408)

2. add program converter and set_value op as an example, which provides the functionality to convert `paddle::framework::ProgramDesc` between old and new formats(the differences are mainly some operators with incompatible updates in the definition);
3. program version and operator version map now are always saved when serializing `paddle::framework::ProgramDesc` to identify the version;
3. provide an option `legacy_format=false` in  serialization of `paddle::framework::ProgramDesc`, it decided whether to convert ProgramDesc back to a legacy format, which is compatible for paddle 2.4.2 or earlier versions to load and execute;
4. deserialization of `paddle::framework::ProgramDesc` is now automatically detecting whether the bytes it receives is in legacy format(contains any of the operators that has been incompatibly updated and have any attribute of type `Scalar`) and convert it to new format. But if you want a faithful deserialization without the automatic conversion, you can use protobuf's deserialization instead. Though it is not recommended, it can be used for the purpose of testing.

* [phi] move sequence_pool kernel to phi

* [phi] mv sequence_pooling to phi funcs

* [phi] mv sequence_pooling_test

* [phi] RollBACK `paddle/fluid/operators/sequence_ops/sequence_pool_op.cc`

* [phi][funcs] fix mutable_data

* [phi][funcs] fix mutable_data