* 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.

* Fix bug of c_softmax_with_cross_entropy_op_xpu_op. Attribute 'ignore_index'
dtype is int64_t.

* support auto generate for prelu

* op_compat 中增加输入参数

* del attrs ; add kernel data_type

* add PreluGradInferMeta

* add autogen code support for sigmoid_cross_entropy_with_logits

* add inplace

* add autogen code support for merge_selected_rows

* bug fixed

* force sync batch norm grad sequential

* fix bug in proto

* add utest

* change op with xpu

* change range yaml

* fix bug in generate_op.py

* [CINN] pass global seed to CINN

* fix cu not include cinn/runtime/flags.h bug

* fix DefaultCUDAGenerator should has device id bug

* add gloo  send_recv

* fix code_stype

* fix CI bug

* fix send_recv.cc

* add send_recv without sync_op

* fix send_recv test

* fix gather.cc

* regist output type for GraphSampleNeighbors and GroupNorm

* Update return type

* fix return type

* update

* fix detail

* [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

* [CustomOP Inplace] Auto-generate python API for inplace vector<Tensor> output

* add up34

* modify var name in loop

* revert changes in test_slice

* Revert "modify var name in loop"

This reverts commit 6d748e371afb417054ed0c6b36fd11e87959a90d.

* temporarily ignore test_slice.py

* add comment

* empty commit, re-trigger all ci

* fix inc

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* tanh_double_grad_rules

* delete log got api_base

* modify composite yaml

* optimize rules

* 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

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

* 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