* add missing newline to some ci message

* `\t` -> `    `

* Add unittest for zero-dim kron.

* Fix zero dim kron.

* support prim eager codegen

* support prim static codegen

* fix static header file

* polish code style, support arthmetic

* add subtract to yaml

* fix merge conflict

* autogen phi tensor operants

* autogen operants base

* autogen operants_manager

* polish code style

* add cmake output

* fix cmake depency error

* fix cmake file path error

* rename multi_tensor_adam to fused_adam

* fix some bugs

* fix CI coverage

* rename test_fused_adam.py

* fix some bug

* add test_fused_adam_op.py

* fix some bugs

* fix fused_adam_op.cc

* fix CI bugs

* fix CI bug

* fix CI bug

* change SHA

* update to oneDNN 2.7

* update to 2.7.1

* update to 2.7.2

* add supported hardsigmoid

* update to 2.7.3

* limit cpu threads for int8 test

* group activations

* move platform::transform to phi

* fix bugs

* move transform_test to phi

* fix cmake

* update namespace

* fix cmake

* rm framework::tensor_util in phi

* clean TensoCopy

* fix bugs

* fix bugs

* fix bugs

* repalce mutable_data

* revert custom_device_test.cc

* [XPU] add fp16 support for cumsum and log.

* [XPU] add fp16 support for cumsum and log.

[XPU] add multi_encoder_xpu_slice_fuse_pass, generate_sequence_xpu_fuse_pass, generate_sequence_xpu kernel (#50570)

* 修改英文注释synchronize

* 修改英文注释synchronize;test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* 修改hfftn的注释错误;test=document_fix

* test=document_fix

* Consider kernel argument def for data device transform in standalone executor

* Fix ALL_BACKEND errors

* Fix CI errors

* [RM FLUID] rm fluid_pslib_init

* [RM FLUID] for ci

* [RM FLUID] for ci

* add cinn_git_tag param

* fix format error

* [Dy2St]Remove PE logic in @to_static

* fix typo

* fix infer_program

* fix typo

* fix op_size

* add approve rules

* add attr

* Add matmul_v2 to the quantization process and adjust Ernie model test

* Correct cpu_quantize_pass test

* Move op to fuse transformation to placement pass

* Correct test

* fix py::array_t calling bug

* polish test_phi_tensor

* stop fix inference bug in this PR

* polish unittest

* change int->int32_t

* fix unittest

* fix compile error

* modify cmake

* remove redundancy codes

* fix selectedRow unittest

* fix cmake relay

* declare kernel

* [dy2static-bugfix] fix backward gradient aggregation bugs
1. Yolov3 and Yolov5 all face the same problem.

* remove set_device

* code review fix

* New onednn test

* checkopoint

* added new test, fixed issue with onednn bias

* fix bias check

* remove prints, refactor code

* delete old test

* update python tests cmake

* Delete depracated conv bias

* Delete outdated bias from convolution test

* add logspace yaml

* update by comments

* resolve test framework conflicct

Add PTQ and exporting function
1. Add Post-Training Quantization
1.1 Abstract some functions from QAT to Quantization class
1.2 Add Post-Training Quantization by extending Quantization class
1.3 Add observers for PTQ
1.4 Add unittest for PTQ
2. Add exporting function for QAT and PTQ