* 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* Delete outdated bias from convolution test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

* support xpu multi-card infer

* add ut

* clean code

* clean code

* fix

* fix

* fix

* fix

* polish namespace

* change static_tensor_operants

* polish namespace

* support add, subtract, divide

* add unit test

* polish unittest

* fix cmake error

* polish unittest

* [XPU] update xccl to 1.0.8

* update xdnn. add uint8 for concat and split.

* update xdnn to 20230215.

* [XPU] add group_norm kernel

* update

* add xpu sin, cos, randint, linspace kernels

* update

* update

* move layer_norm_kernel.cu.h to phi

* fix bugs

* fix namespace

* fix bugs

* fix CI-Windwos

* replace mutable_data

* fix bugs

* fix bugs

* Use StandaloneExecutor in FleetExecutor

* Update FLAGS

* Fix CI errors

* Update code

* Add force_root_scope_vars config

* Update code

* Fix CI errors

* Fix test_layer_new errors

* move variable_utils from phi_api_utils to fluid

* fix coment

* update include

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* update

* update

* fix CI-Windows-OpenBLAS

* fix bugs

* fix bugs

* fix bugs

* update include

* move variable_utils to phi_utils

* fix namespace

* disable unewanted dygraph tests

* mine_hard_exa

* beta

* small commit

* add batch_norm composite rule

move composite test case

remove unuseful var

add composite op blacklist

* small change v2

* finish the test_composite_mean and test_composite_mean_grad

* add ops assertion to the tests

* add cinn test

* fix the error and inappropriate usage in func: mean_composite

* remove the ref of outer lib in primtives.py

* modify sample code of reduce_sum

* fix composite mean op map

* modify testcases to test more float type

* remove cpu float16 test

* cinn test fix

* remove reduce_max

* change the name sum to sum_x

* change the use of reduce_sum to sum

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Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* make cinn_launch_op run interpretercore in tracing mode to reduce number of threads

* skip getWorkqueue in tracing mode