* Polish black_ops_list logic in eager_gen

* update black_ops_list

* disable_skip_layernorm_fp16

1. change the codegen code to avoid conversion from heterogeneous 'initializer list' to tuple, which fails on gcc 5.4; (#45036)

2. add a template CheckTensorHasNanOrInf to handle arbitary tuple of supported types.

* add class center sample infershape

* add yaml

* modify unittest

* modify unittest

* remove comment

* add macro control in enforce_xpu.h, test=kunlun

* minor bugfix

* minor bugfix

* fix bug of adaptive pool2d_grad, *test=kunlun

* fix bug of adaptive pool2d_grad, *test=kunlun

* fix bug of adaptive pool2d_grad, *test=kunlun

* cuda_graph

* cuda_graph_

* cuda_graph_

* cuda_graph_

* set cuda device before run

* add header file

* fix compile

* fix proto bug

* add ut

* reset need_update for var_desc

* refine code

* fix var desc order issue

* [OpAttr]Support VarDesc* and vector<VarDesc*> in Attribute

* add unittest for inference predictor

* Rename class type Name2XX

* Fix return type

* Remove EngineMap function in layer

* [Eager] use final_state_fill_constant_

* fill_constant use str_value

* add fill_constant_ to no_amp_list

* use float(value) as input

* support final state full_ same as fill_constant

* change out_size to INTArray

* fix out_size eager bug

* add unittest for out_size tensor

* add deprecated for paddle.incubate.graph_send_recv, add paddle.geometric.send_u_recv and unittests

* fix lowest bug

* fix according review comment

* add default value in yaml

* change api file name

* change name

* move api(erfinv) from legacy_api.yaml to api.yaml

* change inplace_map key

* migrate class center sample kernel

* fix Resize ddim error

* set buffer ptr

* add header

* add header

* remove comment

* remove header

* [Auto Parallel] Add the c++ dist attrs

* [Auto Parallel] Remove some codes to be less than 1000 lines

* Pybind Fucniton and hide ExecutorEngine and PEEngine

* Remove FunctionNames in compilation_unit

* add phi empty,*test=kunlun

* support empty op in xpu, *test=kunlun

* support empty op in xpu, *test=kunlun

* add margin infer

* migrate yaml

* modify unittests script

* save load

* save load

* add unittest

* first commit

* second commit

* third commit

* remove SaveLocalFS in memory sparse table

* save dense param

* update

* push slot

* fix push show clk: int -> float

* add unittest

* fix sample

* unittest

* add AsExtra for op

* unittest

* modify fs.py

* modify fs.py

* fix some bugs

* add dataset hdfs config

* local change

* dataset use differenct hadoop ugi/fs_name

* add

* fix conflict

* fix

* remove logs

* code style

* fix

* code style

* code style

* fix

* code style

* save_dense_param

* fix

* fix

* fix

* fix

* change momentum in dense optimzer

* fix

* fix

* change fluid => paddle.static

* remove some unuseful code
Co-authored-by: Nesythan <esythan@126.com>

* fix a bug in transpose2 about mkldnn

* fix bug

* add log_p for auto_grad

* add log_p_op.cc in prim_op_test srcs

* fix bug of wrong op name; add test in test_primops

* add test case of log in testprimapi

* fix bug of test_without_guard

* no need to fix test_without_guard

* transfer kernel, make complete

* add fill_sig file

* fix code style

* fix fill_sig, add yaml, modify python API

* fix inplace, add inplace testcase

* deprecated_op_names append fill

* resolve comments, add test_backward

* for test

* Revert "for test"

This reverts commit baf58738ca485a06073d771e20e3644d8811bf31.

* fix utf8 bug on windows

* Polish function code

* Rename funciton to engine

* Fix Log msg and doc

* Rename Function to Engine and using new Function class to warp Engine

* Rename EngineInfo

* Adjust member variable order

* [Eager] fix to_uva_tensor without specific gpu number

* Update test_tensor_uva.py

update test case

* clean tensor.h

* fix gather_nd

* [Auto Parallel] Add ProcessMesh, DeviceMesh and DistributedMapper

* [Auto Parallel] Remove unecessary codes

* [Auto Parallel] Comment out unnecessary cmake statements