add README for mindwizard

mindinsight/wizard/README.md

+# MindWizard Documentation
+
+[查看中文](./README_CN.md)
+
+## Introduction
+
+MindWizard is a tool for quickly generating classic network scripts. It collects user preference on the combination of network parameters, such models, hyperparameters and datasets, then automatically generates target network scripts. The generated scripts can be used for training and evaluation in the Ascend or GPU environment.
+
+## Installation
+
+This tool is part of MindInsight and accessible to users after installing MindInsight, no extra installation is needed.
+
+## Commandline Usage
+
+```buildoutcfg
+mindwizard [-h] [--version] name
+positional arguments:
+  name        Specify the new project name.
+optional arguments:
+  -h, --help  show this help message and exit
+  --version   show program's version number and exit
+```
+
+## Generating Network Project
+
+Run the mindwizard command and answer the following questions as prompted：
+
+1. Select a network（LeNet / AlexNet / ResNet50 / ...）
+
+    1.1. Select a Loss Function（SoftmaxCrossEntropyExpand / SoftmaxCrossEntropyWithLogits / ...）
+
+    1.2. Select a Optimizer（Adam / Momentum / SGD ...）
+
+2. Select a Dataset（MNIST / Cifar10 / ImageNet / ...）
+
+After the project is generated, user can perform training and evaluation. For details, see README in the network project.
+
+## Network Project Structure
+
+```shell
+project
+ |- script
+ |   |- run_standalone_train.sh     # launch standalone training
+ |   |- run_distribute_train.sh     # launch distributed training
+ |   |- run_eval.sh                 # launch evaluation
+ |   |- ...
+ |- src
+ |   |- config.py                   # parameter configuration
+ |   |- dataset.py                  # data preprocessing
+ |   |- lenet.py/resent.py/...      # network definition
+ |- eval.py                         # evaluate network
+ |- train.py                        # train network
+ |- README.md
+```
+
+## Example
+
+Generate LeNet project.
+
+```buildoutcfg
+$ mindwizard project
+
+>>> Please select a network:
+   1: alexnet
+   2: lenet
+   3: resnet50
+ : 2
+>>> Please select a loss function:
+   1: SoftmaxCrossEntropyExpand
+   2: SoftmaxCrossEntropyWithLogits
+ [2]: 2
+>>> Please select an optimizer:
+   1: Adam
+   2: Momentum
+   3: SGD
+ [2]: 2
+>>> Please select a dataset:
+   1: MNIST
+ [1]: 1
+
+lenet is generated in $PWD/project
+
+$ cd $PWD/project/scripts
+```
+
+### Training
+
+```
+# distributed training
+Usage: ./run_distribute_train.sh [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)
+
+# standalone training
+Usage: ./run_standalone_train.sh [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)
+```
+
+### Evaluation
+
+```
+Usage: ./run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH]
+```

mindinsight/wizard/README_CN.md

+# MindWizard 文档
+
+[View English](./README.md)
+
+## 介绍
+
+MindWizard是一款快速生成经典网络脚本的工具。工具根据用户选择，组合模型/超参/数据集等网络参数，自动生成目标网络脚本，生成的网络脚本可以在Ascend或GPU等环境上进行训练和推理。
+
+## 安装
+
+此工具是MindInsight的一部分，安装MindInsight即可使用此工具，无需其他操作。
+
+## 命令行用法
+
+```buildoutcfg
+mindwizard [-h] [--version] name
+positional arguments:
+  name        Specify the new project name.
+optional arguments:
+  -h, --help  show this help message and exit
+  --version   show program's version number and exit
+```
+
+## 生成网络脚本工程
+
+用户运行mindwizard，根据提示回答以下问题：
+
+1. 请选择网络（LeNet / AlexNet / ResNet50 / ...）
+
+    1.1. 请选择损失函数（SoftmaxCrossEntropyExpand / SoftmaxCrossEntropyWithLogits / ...）
+
+    1.2. 请选择优化器（Adam / Momentum / SGD ...）
+
+2. 请选择数据集（MNIST / Cifar10 / ImageNet / ...）
+
+生成脚本后，用户可执行训练和推理，详细介绍可参考网络脚本工程中的 README。
+
+## 网络脚本工程结构
+
+```shell
+project
+ |- script
+ |   |- run_standalone_train.sh     # 单卡训练脚本
+ |   |- run_distribute_train.sh     # 多卡训练脚本
+ |   |- run_eval.sh                 # 推理脚本
+ |   |- ...
+ |- src
+ |   |- config.py                   # 参数配置
+ |   |- dataset.py                  # 数据集处理
+ |   |- lenet.py/resent.py/...      # 网络定义
+ |- eval.py                         # 网络推理
+ |- train.py                        # 网络训练
+ |- README.md
+```
+
+## 示例
+
+生成 LeNet 脚本工程。
+
+```buildoutcfg
+$ mindwizard project
+
+>>> Please select a network:
+   1: alexnet
+   2: lenet
+   3: resnet50
+ : 2
+>>> Please select a loss function:
+   1: SoftmaxCrossEntropyExpand
+   2: SoftmaxCrossEntropyWithLogits
+ [2]: 2
+>>> Please select an optimizer:
+   1: Adam
+   2: Momentum
+   3: SGD
+ [2]: 2
+>>> Please select a dataset:
+   1: MNIST
+ [1]: 1
+
+lenet is generated in $PWD/project
+
+$ cd $PWD/project/scripts
+```
+
+### 训练
+
+```
+# 多卡训练
+Usage: ./run_distribute_train.sh [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)
+
+# 单卡训练
+Usage: ./run_standalone_train.sh [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)
+```
+
+### 评估
+
+```
+Usage: ./run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH]
+```