* remove v2_transpose_reshape

* matmul_transpose_reshape

* reshape_transpose_matmul

* Add int8 support for matmulV2

* restore ut

* adjust old ut

* restore parallel UT ruels

* remove mkldnn code from base ops

* move enforces to pass

* remove duplicated functions

* delete duplicated enforces

* feedback from review

* add comments to variables

* enable eltwise support

* dynamic attribute

* remove fusepass tests from op test

* remove fuse pass cases from op test

* revert introduction of dynamic attributes

* style
Co-authored-by: Nwozna <joanna.wozna@intel.com>

* support optional<vector<Tensor>> in yaml and eager

* delete useless comments in eager_gen.py

* fix api_base.py support optional<vector<TTensor>>

* python_c_gen.py support optional<vector<tensor>>

* transfer linear_interp_v2 yaml from fluid to phi

* fix op_test typo error

* change linear_interp_v2 testcase

* fix args in final_state_linear_interp_v2

* fix zeropad2d typo. test=document_fix

* update reshard for auto search

* fix unittest bug

* update dist tensor

* update reshard output

* fix unittests bug

* merge develop

* Fix concat and tile attribute for ONNX

* disable unittest

* bugfix

* remove scaling

* support rescale_grad opt

* support more final_state code

* support more final_state code

* fix api error

* fix norm error

* fix pool3d error

* revert pool3d and max_pool_3d_adaptive

* fix code check error

* fix norm problem

* transfer memcpy_h2d from fluid to phi

* use UnchangedInferMeta instead

* restore test_standalone_executor

* add newline to fix codestyle check

* rename pt -> phi

* simplify logic and add check

* make the comment more clear

* remove useless comment

* refine code

* trt engine input data type should be consistent with trt input bindings type

* fix some bugs

* fix some bugs

* fix some bugs

* remove some custom_impl api and make them generated by yaml completely

* delete useless code

* fix adamw bug

* fix infermeta

* revert adamw

* polish code

* fix bug

* [Auto Parallel] Pybind11 ProcessMesh and DeviceMesh

* [Auto Parallel] Fix the unittest problem

* [Auto Parallel] Explicitly add the src file for auto_parallel target

* [Auto Parallel] Add the proto depedency explicitly

* [Auto Parallel] Fix the cmake bug on windows and mac

* [Auto Parallel] Remove the pybind11 header file in process_mesh.h

* enhance grid_sampler to support 3d input

* add init file

* add op definition and infermeta

* add kernel definition funcs

* add broadcast infer shape

* add gpu forward kernel

* delete SUB and DIV

* add x_grad

* add template

* add e_grad for min and max

* fix small bug

* temp commit

* temp commit

* add e_grad for sum and mean

* fix some compile bug

* fix compile bugs

* fix compile problem

* add sum forward unittest

* fix broadcast error, add kernel sig, register e_grad, change unit test

* fix grad

* add temp grad fix

* temp commit

* add min max unittest

* add max, min unittest, fix mul bug

* add cpu forward sum and mean

* add forward min max, fix mean unittest

* add cpu backward min max

* fix code-style

* add backward sum mean

* fix rocm ci

* set uniitest timeout

* fix bug of x broadcast to e, gpu grad

* fix bug of x broadcast to e, cpu grad

* rename BOOST_GET_CONST macro

* fix rocm ci

* mv graph_send_e_recv to graph_send_ue_recv

* move out_size to IntArray

* add eager op test

* fix max pool type bug, add unittest for api

* revise api doc

* add fp16 for atomic min and max, add unittest

* add unittest

* add fp16 support for graph_send_recv

* fix unittest fp16 bug

* change OutSizeTensor to Out_size

* move E to Y

* add copyright, fix comment

* review code

* fix thread block size

* fix thread block size

* change api attribute name: pool_type to reduce_op, compute_type to message_op

* change api attribute name, move pool_type to reduce_op, move compute_type to message_op

* make affine_grid_op support 5d_input on cpu and gpu

* add new ptq method ptf

* add post training quantization mobilenetv1 test for ptf

* add post training quantization mobilenetv1 test for ptf test=allcases

* first refine

* second refine

* remove some code unuseful

* fix

* add control flag and input shapes for new dygraph

* fix file mode

* improve code coverage

* fix a bug in statstic

* fix according to review

* optimize performance

* fix

* fix submanifold conv

* Polish black_ops_list logic in eager_gen

* update black_ops_list

* [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

* [Eager] use final_state_full / *full_ instead fill_constant under eager

* polish code

* fix mistakes

* 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_

[CodeStyle] use np.testing.assert_array_equal instead of self.assertTrue(np.array_equal(...)) (#44947)

* automatically fix

* update comments

* numpy -> np

* self.assertEqual(..., True)

* wrong usage (err_msg=True)

这不是修复导致的错误，这些是原来 `self.assertTrue(..., True)`
的错误用法，因此在修复后将其认为位置参数 `err_msg`

* some missing fix

* 1. add prepare_gradient_aggregation in PartialProgramLayer

* 1. draft

* fix ci problem