# Edge-Engine
## Edge : 一个开源的科学计算引擎
[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000) ](https://github.com/AllenZYJ/Edge-Computing-Engine/blob/add-license-1/LICENSE)![](https://img.shields.io/badge/Bulid-Version1.0-green.svg)
> 项目开始日期 : 2019/10/01
> 目前项目总代码 : 709 行
>
> 测试代码 : 810 行
>
> 测试环境:
>
> MacBook Pro
>
> 编译器环境:
>
> Configured with: --prefix=/Applications/Xcode.app/Contents/Developer/usr --with-gxx-include-dir=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/usr/include/c++/4.2.1
> Apple LLVM version 10.0.1 (clang-1001.0.46.4)
> Target: x86_64-apple-darwin18.7.0
> Thread model: posix
>
> 目前实现的:
How to install and run the demo:
`git clone git@github.com:AllenZYJ/Edge-Computing-Engine.git`
`cd to this dir `
`g++ main.cpp -o main`
`./main`
Matrix API:
- [x] Matrix read_csv(string &file_path)
- [x] Create a matrix : create(row,cols)
- [x] Change the element for matrix void move_ele(int &ele1, int &ele2)
- [x] Matrix1+Matrix2 : Matrix add(Matrix mid1,Matrix mid2,int flag=1)
- [x] Flag is how to compete the ele ,default 1 ,bitwise operation(位运算加速).
- [x] Matrix1-Matrix2 : Matrix subtract(Matrix mid1,Matrix mid2)
- [x] Matrix1*Matrix2 : Matrix mul(Matrix mid1,Matrix mid2)
- [x] Matrix1*n : Matrix times_mat(int times,Matrix mid1)
- [x] Matrix1's Transposition : Matrix get_T(Matrix mid1)
- [x] Mul(matrix1,matrix2)
- [x] double* flatten(Matrix mid1) : Return a flattened array.
- [x] Matrix matrix_rs(Matrix mid1,int rs_row,int rs_col)
- [x] double matrix_sum(Matrix mid1)
- [x] double matrix_mean(Matrix mid1)
- [x] Matrix appply(Matrix mid1,Matrix mid2,int axis = 0)
- [x] Matrix iloc(Matrix mid1,int start_x=0,int end_x=0,int start_y=0,int end_y=0)
## Demo: mat*mat
Matrix **A**:
| 第1列 | 第2列 | 第3列 | 第4列 | 第5列 |
| ------- | ------- | ------- | ------- | ------- |
| 72.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 64.0000 | 0.0000 | 0.0000 | 0.0000 |
| 16.0000 | 8.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 56.0000 | 16.0000 | 32.0000 |
| 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
MAtrix **B**:
| 第1列 | 第2列 | 第3列 | 第4列 | 第5列 | 第6列 |
| ------- | ------- | ------- | ------- | ------ | ------ |
| 72.0000 | 0.0000 | 16.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 64.0000 | 8.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 56.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 16.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 32.0000 | 0.0000 | 0.0000 |
To
| 第1列 | 第2列 | 第3列 | 第4列 | 第5列 | 第6列 |
| --------- | --------- | --------- | --------- | ------ | ------ |
| 5184.0000 | 0.0000 | 1152.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 4096.0000 | 512.0000 | 0.0000 | 0.0000 | 0.0000 |
| 1152.0000 | 512.0000 | 320.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 4416.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
| 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
## Demo : mat.flatten
double* flatten(Matrix mid1)
| 1 | 2 | 3 |
| :--: | :--: | :--: |
| 2 | 4 | 6 |
| 7 | 8 | 9 |
To
| 1 | 2 | 3 | 2 | 4 | 6 | 7 | 8 | 9 |
| ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | :----------------- |
| | | | | | | | | Like numpy.flatten |
## Demo : apply nearly mat
Matrix appply(Matrix mid1,Matrix mid2,int axis = 0)
> if axis=0 :
| 0 | 7 | 2 |
| ---- | ---- | ---- |
| 0 | 3 | 1 |
| 0 | 0 | 0 |
| 0 | 0 | 11 |
| 0 | 7 | 2 |
| 0 | 3 | 1 |
| 0 | 0 | 0 |
| 0 | 0 | 11 |
------
> axis = 1:
| 0 | 7 | 2 | 0 | 7 | 2 |
| ---- | ---- | ---- | ---- | ---- | ---- |
| 0 | 3 | 1 | 0 | 3 | 1 |
| 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 11 | 0 | 0 | 11 |
- [x] read_csv
- [x] return a matrix
CSV head :
| -0.017612 | 14.053064 | 0 |
| --------- | --------- | ---- |
| -1.395634 | 4.662541 | 1 |
| -0.752157 | 6.53862 | 0 |
| -1.322371 | 7.152853 | 0 |
| 0.423363 | 11.054677 | 0 |
| 0.406704 | 7.067335 | 1 |
Get:
![](./picture/WX20191119-105411@2x.png)
## Test demo:
```c
#include
#include
#include
#include
#include
#include
#include"./matrix/matrix_def.h"
#include"./matrix/matrix_pro.h"
#include"./welcome/score_wel.cpp"
#include"./logistic/logistic_def.h"
#include"./file_pro/data_read.h"
using namespace std;
clock_t start, stop;
double duration;
int main()
{
welcome();
string path = "./new_data2.csv";
Matrix data = read_csv(path);
Matrix bais = CreateMatrix(data.row,1);
data = appply(data,bais,1);
Matrix y = iloc(data,0,0,3,4);
Matrix x_1 = iloc(data,0,0,0,3);
Matrix x_2 = get_T(x_1);
double alpha = 0.002;
int max_epoch = 100;
Matrix weight = CreateMatrix(3,1);
change_va(weight,0,0,1);
change_va(weight,1,0,1);
change_va(weight,2,0,1);
int epoch = 0;
for(epoch = 0;epoch<=max_epoch;epoch++)
{
cout<<"-----------split-line-----------"< 1. Matrix'element is default 1
> 2. Dynamically allocate memory to prevent matrix from being too large
> 3. To save memory and delete later, use pointer to open up array space temporarily
> 4. if free please delete(matrix);
> 5. Api design like numpy or pandas
> 6. Talking is cheap u can get the code
> 7. welcome 🏃watched and star.
>
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