* fix docstring:
1. 去除 python/paddle/fluid/dygraph/nn.py 中 BatchNorm 类说明中示例代码里 numpy 的使用，为参数 data_layout 说明中 "NCHW" 里的各字母含义做了具体说明；
2. 为 python/paddle/nn/functional/norm.py 中 batch_norm 函数中参数 data_format 说明中的 "NCDHW" 里的各字母含义做了具体说明；
3. 为 python/paddle/nn/layer/norm.py 中 BatchNorm、BatchNorm1D、BatchNorm2D 以及 BatchNorm3D 类中参数 data_format 说明中的 "NCDHW" 里的各字母含义做了具体说明；
4. 修正 python/paddle/nn/layer/loss.py 中 BCELoss 类的 Shapes 说明格式错误问题，以及 BCEWithLogitsLoss 类的 Shapes 说明格式错误问题和 Examples 出错问题；
5. 修改 python/paddle/nn/functional/loss.py 中 binary_cross_entropy 函数以及 binary_cross_entropy_with_logits 函数 Returns 说明的描述，使它们与其他函数说明相似；
6. 将 python/paddle/nn/decode.py 中 BeamSearchDecoder 类 `__init__` 方法 docstring 里的参数说明提前到类说明中去。

* 根据 Review 意见进行修改。

* 修正 在线文档 中提及的错误。

add __all__=[] to python files not in API public list; import * only support in API public list files (#32643)

* 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

* Make dynamic_decode support dygraph and expose to API 2.0
test=develop

* update info about BeamSearchDecoder and dynamic_decode

* remove all APIs in paddle.text, expose BeamSearchDecoder and dynamic_decode

* update example code

* delete test_text.py, decode.py, update some doc, fix example code float64

* delete decode import from paddle.nn

* fix unittest bugs

* use dygraph.Embedding instead of nn.Embedding, add paddle.enbale_static()

* update, correct doc

* move dynamic_decode, BeamSearchDecoder API to paddle.nn

* fix code style

* update unittest param, delete import pf text.py

* set dtype of beamsearchtest float64

* update example code of BeamSearchDecoder, dynamic_decode
Co-authored-by: NLiuChiaChi <709153940@qq.com>

* define fluid alias in paddle.tensor and paddle.nn dir test=develop

* from layer import loss in paddle.nn dir test=develop

* fix high level API(Inference) bug

* patch the unit tests

* Use for_test=True in the Fluid Trainer to clone the test program

* fix typo

* Should do the samething to the inferencer

* add Inference.infer

* optimize code

* update no_test_word2vec_new_api.py

* update trainer

* split check_and_get_place

* use inference_program to save inference model in Trainer

* update demo

* update save_inference_model

* clean code

* Load/save the params from the params_path

* Switch to use load_persistables and save_persistables

* Instaed of setup the executor to run program and scope. Pass the program to the load_persistables

- The trainer and inferencer will load params from disk if param_path
  argument is not None in their constructor.

- Remove params.py, we will expose core.Scope to the user if needed
  (e.g., for GAN). Currently we will not expose it, unless we clearly
  know doing so can support GAN.

- Add `save_params` to Trainer (a TODO item).

- rename "network" to "program"

* "fix decode bug"

* "follow commnet"

* "fix error"

* "fix hook bug"

* fix based comment

* fix copyright

* fix based on comment

* add copyright hook

* add copyright hook

* refine copyright hook

* "test copyright hook"

* fix check style

* fix ci

* Fix lots of trainer_config_helpers bug, and complete unittest for `layers.py`