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 dlnne engine runtime

* Remove <const_cast> and remove unrelated modify with dlnne, +clang-format

* Add copyright message

* Add some paddlepaddle_pass to support more networks

* Add delete dropout_op pass
Co-authored-by: Ndenglin-github <82362191+denglin-github@users.noreply.github.com>

* Add bf16 uniform random initializer

* Remove duplicated section

* Change UT to CPU place only

* Put detail functions into anonymous namespace

This is cherry-pick of #32281

cherry-pick of #32666

* add fake interface for hook in static mode

* add unittests

* fix failed unittests

* jit.save/load support function.

* delete unnittest test_jit_load_model_incomplete.

* edit code according to CI

* Modify the documentation.

* add note to doc.

* edit paddle.save/load API

* Update io.py

edit doc

* delete cpython-37.pyc

* Update io.py

edit doc

* Update io.py

recommit

* Update io.py

recommit

* Update io.py

recommit

* Update io.py

recommit

后续修复计划是啥

- Executor is nt always having FLAGS_use_mkldnn set to true

add __all__=[] to python files not in API public list; import * only support in API public list files (#32644)

* optimize update_loss_scaling_op by fused for loop to one kernel, test=develop

* remove useless while loop and optimize variable name, test=develop

* optimize variable name from out_addrs_tensor to out_addrs_mem, test=develop

* optimize variable name for readable by change prefix identifier from t_ to local_

Co-authored-by: NXiaoguangHu <46782768+XiaoguangHu01@users.noreply.github.com>
Co-authored-by: NXiaoguangHu <46782768+XiaoguangHu01@users.noreply.github.com>

* update 2.0 public api in nn

* replace Chinese character cause error in ci;synchronization with pr:#32588 to avoid 'ascii' codec in python2

* numbers used in paddle.nn.functional.norm but not imported

* [OPs] Bug fix, fix the segment mean for illegal syncthreads usage.

* fixed docs.

* Fixed docs. test=document_fix

code bak.

fixed docs. test=document_fix

* Revert to previous version of python/paddle/fluid/backward.py

* fixed bugs.

* test=document_fix. Fixed examples.

* fix cross_entropy calculation error

* add unittest and fix static

* UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 1788: ordinal not in range(128)

test=document_fix

str(doc) in python2

test=document_fix

* update md5 function in count_api_without_core_ops.py

str in py2 is different.

test=document_fix

* Support list and tuple for parameters of layer_norm, multiprocess_reader, DatasetFolder and ImageFolder.

* add unittest for layer_norm.

* add require gpu for example.

This reverts commit 4b7242b0.