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

* Done

* Deleted old python test, fixed new python test, changed names in parallel_UT

* Revert parallel UT changes

* Revert parallel UT changes v2

* Review fixes and simplification of conv output shape calculation, disabled sqrt from conv_act_duse_pass

* delete sqrt from possible activations from conv_concat_relu test

* review refactor

* merge main

* delete sqrt from list of compatible activations

* Test with no outdated inputs

* auto parallel align tool

* modify function get_var's return

* add save and load in align_tool

* modify load function and save function

* add finding different ops in align tool

* full auto parallel align tool

add test file for auto parallel align tool

set timeout for test

modify get_backward_tmp_var function

add annotation for align tool

modify test file

modify code to restart CI

remove timeout

* set timeout

* map output from composite rule to origin op

add mean layer_norm dropout op map

add input map check

composite softmax support input shape []

* composite softmax support shape []

* polish log

* solve conflict

* polish code

* polish op map output

* add check dtype

* move profiler

* add file

* fix mac compile bugs

* fix ci bugs

* fix mac bugs

* fix ci bugs

* fix compile bugs

* perfect code according comment

* make FusedMultiTransformer supports variable-lengths.

* modify ffn2 when cuda_version >= 11.6 because of #49392.

* code style

* delete remove_padding

* remove incubate.data_generator

* modify the setup.py

* modifyt the setup.py.in

* move ascend_transpiler

* move transpiler.collective

* remver checkport

* fix

* fix import

* fix import

* add init

* fix

* fix

* fix

* Improved prootbuf upgrades

* Improved prootbuf upgrades

* Improved prootbuf upgrades

* limit protobuf version>=3.20.0

* [CUSTOM]custom device add black_list

* change log level

* fix some issues

* add new approvals

* modify github id

fix X

remove TensorCopy

codestyle

add fluid memory header

fix symbol

fix cmake

fix cmake

fix context

fix header

fix place

fix context

fix context

fix context

fix code

fix custom context

fix custom context

fix copy

fix data_transform

fix style

remove changes of custom

fix scalar

* expand mix_precision to custom_device

* fix bug

* fix bug

* fix comment

* fix DEFINE bug