* [AMP OP&Test]numel op fp/bf 16 support

* dtype update

* remove err case

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 api `class ParallelExecutor`

* remove other references

* 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 int8 support for full kernel

* fix ut.

* Polish ResNet and Bert prim_cinn test

* fix huber_loss

* fix

* fix ops.yaml add intermediate

* fix

* fix test

* [CodeStyle][B020] rename for

* [CodeStyle][B020] rename for

* 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

* [Test Mv] autograd_test

* [Move Test] rm py_test_modules

* delete old dygraph mkldnn op test

* add squeeze, unsqueeze, transpose fp16 unitest

* Update test_transpose_op.py

* add tune o1 level

* add unittest

* [Test Mv] move collective/multinode to test dir

* add CMakeList.txt to test/collective

* add bash_test_modules

* adjust the order

* recover bash_test_modules

* add_subdirectory(collective)

* resolve conflicts

* resolve conflicts

* [AMP] add fp16&bf16 support for flatten op

* fix ci bug

* fix inpute should astype self.dtype bug and fix zerodim test name

* remove 0D-tensor bf16 test for window-inference-ci pass

* remove flatten from op_accuracy_white_list

* update

* update

* [CodeStyle][B015] delete unused

* [CodeStyle][B015] add assert

* optimize composite rule by making scalar shape as []1

* fix shape usage for 0D

* fix rules

* fix 0D error

* fix flatten 0D error

* fix bn eval mode

* fix bn test

* fix flatten

* 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

* add tanh and cast prim test

* fix tanh test

* fix 0-d test

* add sqrt fp16 prim test

* add public_python_api in prim test

* fix test_squeeze2_op

* add tanh prim test

* add dropout prim test

* [Dy2St]Fix clone for test state problem

* clean code

* modify test_cumsum_op

* modify test_cumsum_op

* fix dropout test

* add dropout in cmake

* fix dropout test

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* 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

* 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

* codestyle up027

* add to pyproject.toml