* update

* update

* 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

* Support ignore_index for c_softmax_with_cross_entropy_op.

* Polish code. Remove useless comments and add Testcase.

* Polish code for TestCase.

* Polish code.

* Polish code style.

* Polish code.

* Change loss calculation formula and ignore_index dtype.

* Polish TestCase.

* [kunlun] support min/max in dygraph mode

* update xccl to 1.0.13

* fix kp compile

* test

* Revert "test"

This reverts commit 3a1cbfaa0f23e6e06d3dcd8d0b0c28aa63a98e70.

* update copyright

* update cmake

* update cmake

* update cmake

* update cmake

* 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.

* Remove log about fluid
* Remove useless forward declarations
* Fix uninitialization warning (trt onehot)

* mv cumprod

* add attrs

* Update backward.yaml

* Update backward.yaml

* delete old dygraph op test

* support layer_norm prim and cinn test

* enable cinn test

* fix merge conflict

* polish input for check_output_with_place

* fix merge conflict

* add more test case

* fix merge conflict

* polish test case

* polish op_test

* change ln_g rules

* modify scale is none case

* modify scale is none case

* add public_python_api for check prim

* modify setoutputgrad and fp64bug

* add todo & delete log

* delete Single***varname

* delete get varname

* modify FP64 bug

* delete op test

* recover

* fix conflict

---------
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* 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 bitwise_not trt converter

* run pre-commit

* modify neg_one_tensor_dims init way

* fix BOOL type support requires TensorRT 8.4

* fix int8 & uint8 type

* improve data type readability

* modify filter logic

* fix coverage CI

* perfect structure kernel registry

* fix ci bugs

* 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