polish template (#5369)

.clang_format.hook

-#!/usr/bin/env bash
-set -e
-
-readonly VERSION="3.8"
-
-version=$(clang-format -version)
-
-if ! [[ $version == *"$VERSION"* ]]; then
-    echo "clang-format version check failed."
-    echo "a version contains '$VERSION' is needed, but get '$version'"
-    echo "you can install the right version, and make an soft-link to '\$PATH' env"
-    exit -1
-fi
-
-clang-format $@

.gitmodules

-[submodule "PaddleRL"]
-	path = PaddleRL
-	url = https://github.com/PaddlePaddle/PARL
-[submodule "PaddleCV/PaddleSeg"]
-	path = PaddleCV/PaddleSeg
-	url = https://github.com/PaddlePaddle/PaddleSeg.git
-[submodule "AutoDL"]
-	path = AutoDL
-	url = https://github.com/PaddlePaddle/AutoDL.git
-[submodule "PaddleSpeech/DeepSpeech"]
-	path = PaddleSpeech/DeepSpeech
-	url = https://github.com/PaddlePaddle/DeepSpeech.git
-[submodule "PaddleSpeech/Parakeet"]
-	path = PaddleSpeech/Parakeet
-	url = https://github.com/PaddlePaddle/Parakeet
-[submodule "PaddleCV/PaddleDetection"]
-	path = PaddleCV/PaddleDetection
-	url = https://github.com/PaddlePaddle/PaddleDetection.git

.style.yapf

-[style]
-based_on_style = pep8
-column_limit = 80

.travis.yml

-language: cpp
-cache: ccache
-sudo: required
-dist: trusty
-services:
-  - docker
-os:
-  - linux
-env:
-  - JOB=PRE_COMMIT
-
-addons:
-  apt:
-    packages:
-      - git
-      - python
-      - python-pip
-      - python2.7-dev
-      - clang-format-3.8
-  ssh_known_hosts: 13.229.163.131
-before_install:
-  - if [[ "$JOB" == "PRE_COMMIT" ]]; then sudo ln -s /usr/bin/clang-format-3.8 /usr/bin/clang-format; fi
-  - sudo pip install -U virtualenv pre-commit pip
-  - docker pull paddlepaddle/paddle:latest
-
-script:
-  - exit_code=0
-  - .travis/precommit.sh || exit_code=$(( exit_code | $? ))
-  - docker run -i --rm -v "$PWD:/py_unittest" paddlepaddle/paddle:latest /bin/bash -c
-    'cd /py_unittest; sh .travis/unittest.sh' || exit_code=$(( exit_code | $? ))
-  - |
-    script/deploy_doc.sh
-
-notifications:
-  email:
-    on_success: change
-    on_failure: always

community/REPO_TEMPLATE_DESC.md

+# REPO 提交规范
+
+项目和代码的规范和可读性对于项目开发至关重要，可以提升开发效率。本文给出开发者在新建开发者生态项目时的repo目录示例，以供参考。
+
+本文示例项目在文件夹[repo_template](./repo_template)下，您可以将这个文件夹中的内容拷贝出去，放在自己的项目文件夹下，并编写对应的代码与文档。
+
+## 1. 目录结构
+
+建议的目录结构如下：
+
+```
+./repo_template          # 项目文件夹名称，可以修改为自己的文件夹名称
+|-- config               # 参数配置文件夹
+|-- dataset              # 数据处理代码文件夹
+|-- images               # 测试图片文件夹
+|-- model                # 模型实现文件夹
+|-- utils                # 功能类API文件夹
+|-- deploy               # 预测部署相关
+|   ├── pdinference      # 基于PaddleInference的python推理代码文件夹
+|   ├── pdserving        # 基于PaddleServing的推理代码文件夹
+|-- tools                # 工具类文件夹
+|   ├── train.py         # 训练代码文件
+|   ├── eval.py          # 评估代码文件
+|   ├── infer.py         # 预测代码文件
+|   ├── export.py         # 模型导出代码文件
+|-- scripts              # 脚本类文件夹
+|   ├── train.sh         # 训练脚本，需要包含单机单卡和单机多卡训练的方式，单机多卡的训练方式可以以注释的形式给出
+|   ├── eval.sh          # 评估脚本，提供单机单卡的评估方式即可
+|   ├── infer.sh         # 预测脚本
+|   ├── export.sh        # 模型导出脚本
+|-- test_tipc            # 训推一体测试文件夹
+|-- README_en.md         # 英文用户手册
+|-- README.md            # 中文用户手册
+|-- LICENSE              # LICENSE文件
+```
+
+- **config：** 存储模型配置相关文件的文件夹，保存模型的配置信息，如 `configs.py、configs.yml` 等
+- **dataset：** 存储数据相关文件的文件夹，包含数据下载、数据处理等，如 `dataset_download.py、dataset_process.py` 等
+- **images：** 存储项目相关的图片，首页以及TIPC文档中需要的图像都可以放在这里，如果需要进一步区分功能，可以在里面建立不同的子文件夹。
+- **model：** 存储模型相关代码文件的文件夹，保存模型的实现，如 `resnet.py、cyclegan.py` 等
+- **utils：** 存储功能类相关文件的文件夹，如可视化，文件夹操作，模型保存与加载等
+- **deploy：** 部署相关文件夹，目前包含PaddleInference推理文件夹以及PaddleServing服务部署文件夹
+- **tools：** 工具类文件夹，包含训练、评估、预测、模型导出等代码文件
+- **scripts：** 工具类文件夹，包含训练、评估、预测、模型导出等脚本文件
+- **test_tipc：** 训练一体 (TIPC) 测试文件夹
+- **README_en.md：** 中文版当前模型的使用说明，规范参考 README 内容要求
+- **README.md：** 英文版当前模型的使用说明，规范参考 README 内容要求
+- **LICENSE：** LICENSE文件
+
+## 2. 功能实现
+
+模型需要提供的功能包含：
+
+- 训练：可以在GPU单机单卡、单机多卡、CPU多核的环境下执行训练
+- 预测：可以在GPU单卡和CPU单核下执行预测
+- 评估：可以在GPU单卡和CPU单核下执行评估
+- 模型导出：可以导出inference模型，并且跑通PaddleInference推理以及PaddleServing部署
+- 使用自定义数据：要求模型可以灵活支持/适配自定义数据，可以通过在README中加入数据格式描部分和如何使用自定义数据章节解决
+
+### 3. 命名规范和使用规范
+
+- 文件和文件夹命名中，尽量使用下划线`_`代表空格，不要使用`-`。
+- 模型定义过程中，需要有一个统一的变量（parameter）命名管理手段，如尽量手动声明每个变量的名字并支持名称可变，禁止将名称定义为一个常数（如"embedding"），避免在复用代码阶段出现各种诡异的问题。
+- 重要文件，变量的名称定义过程中需要能够通过名字表明含义，禁止使用含混不清的名称，如net.py, aaa.py等。
+- 在代码中定义path时，需要使用os.path.join完成，禁止使用string加的方式，导致模型对windows环境缺乏支持。
+
+
+### 4. 注释和License
+
+对于代码中重要的部分，需要加入注释介绍功能，帮助用户快速熟悉代码结构，包括但不仅限于：
+
+- Dataset、DataLoader的定义。
+- 整个模型定义，包括input，运算过程，loss等内容。
+- init，save，load，等io部分
+- 运行中间的关键状态，如print loss，save model等。
+
+如：
+```
+import random
+
+from paddle.io import Dataset
+from paddle.vision.transforms import transforms as T
+
+
+class PetDataset(Dataset):
+    """
+    Pet 数据集定义
+    """
+    def __init__(self, mode='train'):
+        """
+        构造函数
+        """
+        self.image_size = IMAGE_SIZE
+        self.mode = mode.lower()
+
+        assert self.mode in ['train', 'test', 'predict'], \
+            "mode should be 'train' or 'test' or 'predict', but got {}".format(self.mode)
+
+        self.train_images = []
+        self.label_images = []
+
+        with open('./{}.txt'.format(self.mode), 'r') as f:
+            for line in f.readlines():
+                image, label = line.strip().split('\t')
+                self.train_images.append(image)
+                self.label_images.append(label)
+
+    def _load_img(self, path, color_mode='rgb', transforms=[]):
+        """
+        统一的图像处理接口封装，用于规整图像大小和通道
+        """
+        with open(path, 'rb') as f:
+            img = PilImage.open(io.BytesIO(f.read()))
+            if color_mode == 'grayscale':
+                # if image is not already an 8-bit, 16-bit or 32-bit grayscale image
+                # convert it to an 8-bit grayscale image.
+                if img.mode not in ('L', 'I;16', 'I'):
+                    img = img.convert('L')
+            elif color_mode == 'rgba':
+                if img.mode != 'RGBA':
+                    img = img.convert('RGBA')
+            elif color_mode == 'rgb':
+                if img.mode != 'RGB':
+                    img = img.convert('RGB')
+            else:
+                raise ValueError('color_mode must be "grayscale", "rgb", or "rgba"')
+
+            return T.Compose([
+                T.Resize(self.image_size)
+            ] + transforms)(img)
+
+    def __getitem__(self, idx):
+        """
+        返回 image, label
+        """
+        train_image = self._load_img(self.train_images[idx],
+                                     transforms=[
+                                         T.Transpose(),
+                                         T.Normalize(mean=127.5, std=127.5)
+                                     ]) # 加载原始图像
+        label_image = self._load_img(self.label_images[idx],
+                                     color_mode='grayscale',
+                                     transforms=[T.Grayscale()]) # 加载Label图像
+
+        # 返回image, label
+        train_image = np.array(train_image, dtype='float32')
+        label_image = np.array(label_image, dtype='int64')
+        return train_image, label_image
+
+    def __len__(self):
+        """
+        返回数据集总数
+        """
+        return len(self.train_images)
+```
+
+
+对于整个模型代码，都需要在文件头内加入licenses，readme中加入licenses标识。
+
+文件头内licenses格式如下：
+
+```
+#encoding=utf8
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+#     http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+```
+
+## 5. 其他问题
+
+- 使用 Paddle 2.x API开发，不使用 `paddle.fluid.*` 下的API；
+- 代码封装得当，易读性好，不用一些随意的变量/类/函数命名
+- 注释清晰，不仅说明做了什么，也要说明为什么这么做
+- 如果模型依赖paddlepaddle未涵盖的依赖（如 pandas），则需要在README中显示提示用户安装对应依赖
+- 随机控制，需要尽量固定含有随机因素模块的随机种子，保证模型可以正常复现
+- 超参数：模型内部超参数禁止写死，尽量都可以通过配置文件进行配置。
+
+## 6. README 内容&格式说明
+
+模型的readme共分为以下几个部分，**具体模板见：**[README.md](repo_template/README.md)
+
+```
+# 模型名称
+## 1. 简介
+## 2. 复现精度
+## 3. 数据集
+## 4. 环境依赖
+## 5. 快速开始
+## 6. 代码结构与详细说明
+## 7. 模型信息
+```

community/repo_template/.clang-format

+# This file is used by clang-format to autoformat paddle source code
+#
+# The clang-format is part of llvm toolchain.
+# It need to install llvm and clang to format source code style.
+#
+# The basic usage is,
+#   clang-format -i -style=file PATH/TO/SOURCE/CODE
+#
+# The -style=file implicit use ".clang-format" file located in one of
+# parent directory.
+# The -i means inplace change.
+#
+# The document of clang-format is
+#   http://clang.llvm.org/docs/ClangFormat.html
+#   http://clang.llvm.org/docs/ClangFormatStyleOptions.html
+---
+Language:        Cpp
+BasedOnStyle:  Google
+IndentWidth:     2
+TabWidth:        2
+ContinuationIndentWidth: 4
+MaxEmptyLinesToKeep: 2
+AccessModifierOffset: -2  # The private/protected/public has no indent in class
+Standard:  Cpp11
+AllowAllParametersOfDeclarationOnNextLine: true
+BinPackParameters: false
+BinPackArguments: false
+...
+

community/repo_template/.gitignore

+*.DS_Store
+*.vs
+*.user
+*.pyc
+*.vscode
+*.idea
+__pycache__/
+_build/
+build/
+log/
+.ipynb_checkpoints/
+nohup.out

community/repo_template/.pre-commit-config.yaml

+repos:
+-   repo: https://github.com/PaddlePaddle/mirrors-yapf.git
+    rev: 0d79c0c469bab64f7229c9aca2b1186ef47f0e37
+    hooks:
+    -   id: yapf
+        files: \.py$
+-   repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: a11d9314b22d8f8c7556443875b731ef05965464
+    hooks:
+    -   id: check-merge-conflict
+    -   id: check-symlinks
+    -   id: detect-private-key
+        files: (?!.*paddle)^.*$
+    -   id: end-of-file-fixer
+        files: \.md$
+    -   id: trailing-whitespace
+        files: \.md$
+-   repo: https://github.com/Lucas-C/pre-commit-hooks
+    rev: v1.0.1
+    hooks:
+    -   id: forbid-crlf
+        files: \.md$
+    -   id: remove-crlf
+        files: \.md$
+    -   id: forbid-tabs
+        files: \.md$
+    -   id: remove-tabs
+        files: \.md$
+-   repo: local
+    hooks:
+    -   id: clang-format
+        name: clang-format
+        description: Format files with ClangFormat
+        entry: bash .clang_format.hook -i
+        language: system
+        files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|cuh|proto)$

community/repo_template/LICENSE

+Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
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+      "Work" shall mean the work of authorship, whether in Source or
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+      "Derivative Works" shall mean any work, whether in Source or Object
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+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
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+   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

community/repo_template/README.md

-# repo template
+# 模型名称
+
+模型的具体名称，如：# ResNet50
+
+
+目录
+
+```
+1. 简介
+2. 复现精度
+3. 数据集
+4. 环境依赖
+5. 快速开始
+6. 代码结构与详细说明
+7. 模型信息
+```
+
+**注意：** 目录可以使用[gh-md-toc](https://github.com/ekalinin/github-markdown-toc)生成
+
+## 1. 简介
+
+简单的介绍模型，以及模型的主要架构或主要功能，如果能给出效果图，可以在简介的下方直接贴上图片，展示模型效果。然后另起一行，按如下格式给出论文、参考代码及对应的链接。
+
+**论文:** [title](url)
+
+**参考repo:** [repo name](url)
+
+## 2. 复现精度
+
+给出论文中精度、参考代码的精度、本repo复现的精度、模型下载链接、模型大小，以表格的形式给出。如果超参数有差别，可以在表格中新增一列备注一下。
+
+如果涉及到`轻量化骨干网络`，需要新增一列骨干网络的信息。
+
+## 3. 数据集
+
+给出数据集的链接，然后按格式描述数据集大小与数据集格式即可。
+
+格式如下：
+
+- 数据集大小：关于数据集大小的描述，如类别，数量，图像大小等等；
+
+- 数据格式：关于数据集格式的说明
+
+## 4. 环境依赖
+
+主要分为两部分介绍，一部分是支持的硬件，另一部分是框架等环境的要求，格式如下：
+
+- 硬件：
+
+- 框架：
+  - PaddlePaddle >= 2.1.0
+
+## 5. 快速开始
+
+需要给出快速训练、预测、使用预训练模型预测、模型导出、模型基于inference模型推理的使用说明，同时基于demo图像，给出预测结果和推理结果，并将结果打印或者可视化出来。
+
+## 6. 代码结构与详细说明
+
+### 6.1 代码结构
+
+需要用一小节描述整个项目的代码结构，用一小节描述项目的参数说明，之后各个小节详细的描述每个功能的使用说明。
+
+### 6.2 参数说明
+
+### 6.3 基础使用
+
+配合部分重要配置参数，介绍模型训练、评估、预测、导出等过程。
+
+### 6.4 模型部署
+
+给出当前支持的推理部署方式以及相应的参考文档链接。
+
+## 7. 模型信息
+
+以表格的信息，给出模型和作者相关的信息。
+
+| 信息 | 说明 |
+| --- | --- |
+| 发布者 | author |
+| 时间 | 2021.11 |
+| 框架版本 | Paddle 2.2 |
+| 应用场景 | 图像分类 |
+| 支持硬件 | GPU、CPU |
+| 模型下载链接 | [trained model](url)、[inference model](url)  |
+| 在线运行 | [notebook](url)、[scripts](url) |

community/repo_template/images/README.md

+Images can be placed here.