paddle.save paddle.static.save protocol的默认值改为4（原默认值为2）。

    pickle protocol=4相交于protocol=2：
        protocol=4时保存/加载大于4G的单个numpy.ndarray 等。
        protocol=4时保存/加载的速度有明显提升。
        Python2 不支持protocol=4（paddle2.1主要支持Python3，不再考虑Python2）。

    兼容问题：pickle版本（protocol）会写到文件里面，pickle load的时候会自动识别到protocol，paddle2.1（paddle.save pickle默认版本为2）可以加载paddle2.1.1的模型（paddle.save pickle默认版本为4）。

原始PR：#32904

Cherry-pick (#33213)

 [cherry-pick][CustomOP]Set GLIBCXX_USE_CXX11_ABI=1 to fix potential GCC ABI problem  (#33153) (#33185)

* Add GLIBCXX_USE_CXX11_ABI flag

* fix typo

* fix typo

* [HybridParallel]Fix pipeline in dygraph (#33007)

* fix pipeline

* fix mp pp dp

* fix utest of hybrid parallel

* add utest for tuple

* fix utest (#33108)

* Support convert sublayers in Sequential Container

* remove paddle.jit.set_code_level

* fix precision of mp

* fix bug of seed

* fix dp

* print group

Change Paddle CI-Cverage Python3.8 Cherry-pick 32515

* [Dy2Static]Add param_guard in ParameterList to support @to_static

* [Dy2Static] Refactor param_guard logic of @to_static (#32867)

* Add param_guard in ParameterList to support @to_static

* Refactor param_guard of @to_static

* fix unittest failed

* add more unittest

* [Custom Op]Remove PADDLE_WITH_MKLDNN in custom_op  (#32903)

* [Dy2Stat]BugFix StaticAanlysis with gast.Subscript (#32969)

* BugFix StaticAanlysis with gast.Subscript

* remove codes

    test_paddle_save_load 单测随机挂：使用np.ndarray生成随机数组，可能生成nan，造成做对比时结果不匹配（nan != nan）。改为np.random.randn生成随机数组。

    test_paddle_save_load_binary随机挂: 如果一个字符串不能解析为Program，windows上会有超时风险。解决方法：不在windows平台不加载'不能解析为Program的字符串'。

原始PR:#32949

* cherrypick for #32640 :add profile and fix dataset hang in heterps;test=develop

* cherrypick for #32640 :add profile and fix dataset hang in heterps;test=develop

* cherrypick for #32640 :add profile and fix dataset hang in heterps;test=develop

* doc of paddle.save/load

* polish doc of paddle.save/load

* fix dataloader exit hang when join re-enter. test=develop

* double check _shutdown. test=develop

fix error log for reducer

fix doc

fix bug of utest

fix spawn

fix converage

* remove packages in __all__

* create new public api level paddle.callbacks;paddle.hub;paddle.utils.unique_name

 [CHERRY-PICK2.1]Remove paddle_custom_op dynamic libraries, and link to FLUID_CORE on windows (#32583) (#32769)

* Remove paddle_custom_op dynamic libraries, change link to FLUID_CORE on windows, and check copy_to

* fix CI

* Add casting initializers for bf16 training

* Changes after review

* Correct test and add comment
Co-authored-by: Njoanna.wozna.intel <joanna.wozna@intel.com>

* Add deprecated warning info.

* Add unittest for deprecated decorator.

* Add warning info for tensor.grad

* clear 'BasicEngine' when an exception occurs in the backward. (#32546)

* clear 'BasicEngine' when an exception occurs in the backward.

* deal with conflict.

* deal with conflict.

* forward return any type. (#32661)

* revert data_generator

* add setup.py

cherry-pick:change softmax_with_cross_entropy_op's parameter name from softmax_switch to use_softmax (#32750)

* change parameter name from softmax_switch to use_softmax, test=develop

* cherry-pick:change parameter name from softmax_switch to use_softmax, test=develop

avoid polluting logging's root logger

* add to_grayscale, normalize

* add rotate

* add vfip and hflip

* add crop center_crop

* add utils

* add utils

* update utils, add raise for some cases

* add padding, support constant, reflect, replicate, circular same as paddle.pad

* update rotate

* using utils func in [v|h]flip

* add get-image-[n,c,w,h] axis utils

* add get-image-[n,c,w,h] axis utils

* align

* update

* remove default value in utils func

* add assert for pad

* update assert paddle image

* support rotate fill func

* raise valueerror for pad

* remove typing, py2 dont support

* init uinttest for transforms tensor

* add resize op

* register [normalize hflip crop center_crop resize transpose] imagenet

* register [normalize hflip crop center_crop resize transpose] imagenet

* fix bugs, (w, h) getter and import

* add _get_image_size for tensor image

* add pad vflip for tensor image

* add unittest for tensor transforms

* update transforms unittest for converage CI probelms, test=develop

* update

* update

* update

* fix `get_shape` for tensor backend

* update

* update

* add more resize tests

* update

* update for ci test

* update

* remove redundancy code

* update uinttest, and set tensor image to hwc by default

* add tensor backend

* fix copyright doc, rm comment code, add pil unittest

* update data_format to `chw` for tensor

* coverage notest,test=coverage

* update

* update

cherry-pick #32561

Dy2stat failed when user writes return paddle.to_tensor(xxx), the reason is that visit_Expr doesn't work when the Expr is in return. Some other statements may trigger same bug. To fix it, we re-wrote a transformer to transform paddle.to_tensor to paddle.assign for all Call nodes.

* update, test=develop

* add relu6_ hardsigmoid_ leaky_relu_ Inplace APIs

* add softmax_with_cross_entropy_ Inplace API

* add clip_ scale_ add_ subtract_ Inplace APIs

* add wlist

* fix parameter of scale api

* add add_n_ Inplace API and remove log_ Inplace API

* fix elementwise_add_ and elementwise_sub_ broadcast problem

* elementwise inplace api give error message before run the op

* use broadcast_shape in elementwise inplace op

* add 8 inplace apis that is auto generated

* add unittest for all inplace apis

* add decorator for inplace apis in static mode

* fix windows blas fail of exp inplace api, change array_equal to allclose

* add flatten inplace api

* add flatten unittest

* fix flatten unittest

* add decorator

* fix grad.numpy in test_pylayer_op

* unsupport softmax_with_cross_entropy_

* add test_inplace_softmax_with_cross_entropy to static_mode_white_list

* delete __all__ in inplace_utils

* delete activation inplace function and add Tensor.inplace_func

* change paddle.inplace_ to Tensor.inplace_

* fix little problem

* add paddle in inplace_utils

* add op read_file and decode_jpeg

* Add bf16 uniform random initializer

* Remove duplicated section

* Change UT to CPU place only

* Put detail functions into anonymous namespace