* add group_norm composite rule

* add test for scale_grad and bias_grad

* resolve conflicts

* remove amp in composite_rule.py

* add float16 test

* deal with NHWC format

* keep the composite rule in float16 identical as original kernel

* resolve conflicts

* regist output type for GraphSampleNeighbors and GroupNorm

* Update return type

* fix return type

* update

* fix detail

* fix bg

* add utest

* add utest

* tanh_double_grad_rules

* delete log got api_base

* modify composite yaml

* optimize rules

* add fuse adamw pass

* fix some bugs

* fix CIbug

* change chunk_size

* fix CI bug

* rm test_fused_adam_op.py

* fix CI bugs

* fix fuse_adamw_op_pass.cc

* change code style

* fix CI bug

* fix ut bug and use_adamw_op_pass.cc

* fix test_fuse_adamw_pass.py

* fix CI bug

* remove fluid

* fix ci bug

* fix CI bug

* fix generate_kernels.py in CUDA 12.0

* fix attrs bug

Add basic functionalities to support Scalar & Scalars in operator attribute.

1. extend allowed types in operator's attribute type, add `paddle::experimental::Scalar`, add corresponding protobuf Message types;
2. Scalar enhancement, add formatting, equality;
3. add code to handle Scalar & Scalars in opmaker, conversion from  paddle operator to phi kernel, opdesc construction and manipulation,  tensorrt converter, tracer, operator construction, etc;
4. bind `paddle::experimental::Scalar` to python, as `libpaddle.Scalar`;
5. add functionality to canonicalize attribute map according to OpProto(if the op the attribute map used for has an OpProto);
6. add code to manipulate Scalar proto message via protobuffer python API;

Add unittests.

1. add test cases for formatting, equality for Scalars, and WrapAsScalars;
2. add test cases for 'casting' between different morphs of attributes;
3. add test cases for extracting scalar & scalars from attribute;
4. add test cases for CanonicalizeScalarAttrs(and fix a bug in type index offset);
5. fix gmock's library filename on windows platform.
6. clean code: use canonicalize_attrs instead of inlining the function;
7. add test cases for libpaddle.Scalar in python code.
8. add test cases for `make_scalar_proto`, which manipulate proto message `Scalar` via protobuffer python API.

* mv cumprod

* add attrs

* Update backward.yaml

* Update backward.yaml

* add flag to set chunk size

* use the flag

* add vlog

* add ut

* rename ut

* add overflow check in memory efficient attention

* fix ci compile error

* fix ci compile error

* fix int8 support for full kernel

* fix ut.

* fix huber_loss

* fix

* fix ops.yaml add intermediate

* fix

* fix test

* support auto generate static for one_hot_v2

* format

* support auto generate for log_softmax

* add data_type

* add unittest for conv2d/depthwise_conv2d/conv2d_transpose

* add bf16 for DWConv and ConvTranspose

* fix unitest of conv2d_transpose

* modify DWConv2d op and unittest

* fix unittest of conv2d_transpose_bf16

* modify unittest name according to review

* modify atol of DWConv2D unittest

* add fused_yaml fused_backward

* fix eager_funciton bug

* add some comment of fused yaml file

* add 'support_dygraph_mode' configuration in fused yaml

* delete some 'fused_api.h' in include file

* add fused flag in api_gen

* [CustomOP Inplace] Automap inplace dtype and shape, prepare for vector<Tensor> output

* delete dtype,shape func of multi_inplace op

* [CustomOP Inplace] Automap inplace dtype and shape, support vector<Tensor> output

* support assign op

* support assign infer_var_type

* change code according to review

* change code according to review

* only save 'get_infer_var_type_func'

* rest file mode

* unbind support bool dtype

* replace np.array_equal

instance_norm_grad kernel. Fix bugs that the data type of input is different from output in reduce_sum kernel. test=kunlun

* fix_gcc12_error

* fix gcc12 error

* fix gcc12 error

* fix_gcc12_error

* patch on eigen3 for fixing gcc12 error

* Update multiary.cc

* extract Op and OPMaker to .h

* extend pattern for fused_op

* set "with_residual" default to false

* adjust fuse passes

* remove fc+eltwise flag

* fused_output_scale

* activation attrs

* remove extra attrs

* fix int8/bf16 unit tests

* simplify RecomputeOutputDims

* remove unused method

* Add description for attributes

* add extra check

* adjust op compats

* update quantize test

* fix protobuf parsing error

* fix int8 performance

* fused elementwises

* merge develop

* remove activation

* restore activation for existing add/sub ops

* fix mea compile error

* support 2-D bias

* add inline to avoid compile error

* polish codes

[Fix Bug] fix get_new_shape and get_new_data_from_tensor not support fallback to CPU on custom device (#52002)

* add all_reduce, reduce kernel and api

* fix all_reduce reduce ut

fix reduce op maker conflict

fix merge conflicts

* fix conflicts, rename ReduceOp->ReduceBaseOp in reduce_ops

rename allreduce op, to remove

* fix code format

fix comments

* modify test_collective_reduce_api ut timeout

* fix PR-CI-Build

fix comments: format phi operator