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Edge-Computing-Engine

一个开源的科学计算引擎

Email: [email protected]

Edge support Edge support Edge passing GitHub license

Edge-Computing-Engine is an open-source scientific computing engine designed for matrix computation and machine learning tasks. It provides a wide range of matrix operations and neural network building blocks.

Email: [email protected]

Features

  • read_csv(string &file_path): Reads a formatted file (csv) and returns a matrix with automatically calculated dimensions.
  • Formatted file writing interface. Similar to pandas.to_csv.
  • Broadcasting mechanism for matrices with padding interface.
  • Fully connected layer forward and backward propagation interfaces with automatic differentiation support.
  • Matrix differentiation and automatic differentiation interfaces.
  • save_txt(Matrix mid1,string path = "./",string delimiter = ",",string header="./"): Reads the file header and writes formatted files. It supports writing matrix-type data, custom headers, writing file paths, and custom delimiters (default is ", ").
  • create(row,cols): Creates a matrix with specified dimensions and initializes all elements to 0.
  • move_ele(int &ele1, int &ele2): Changes the value of an element at a specific position.
  • add(Matrix mid1, Matrix mid2, int flag = 1): Matrix addition operation with optional bitwise operation acceleration.
  • subtract(Matrix mid1, Matrix mid2): Matrix subtraction operation.
  • mul(Matrix mid1, Matrix mid2): Matrix multiplication operation.
  • times_mat(int times,Matrix mid1): Scalar matrix multiplication.
  • get_T(Matrix mid1): Matrix transposition operation.
  • mul(matrix1,matrix2): Matrix product (complete mathematical definition).
  • flatten(Matrix mid1): Returns a flattened array.
  • matrix_rs(Matrix mid1,int rs_row,int rs_col): Matrix structure compression.
  • matrix_sum(Matrix mid1): Matrix summation.
  • matrix_mean(Matrix mid1): Matrix mean.
  • apply(Matrix mid1,Matrix mid2,int axis = 0): Matrix concatenation.
  • iloc(Matrix mid1,int start_x=0,int end_x=0,int start_y=0,int end_y=0): Matrix slicing.
  • mul_simple(Matrix mid1,Matrix mid2): Element-wise matrix multiplication for machine learning applications.
  • Relu: Activation function matrix interface.
  • MSE: Mean squared error matrix interface.
  • Random weight matrix creation interface.
  • Convolutional neural network definition (including but not limited to convolution kernel, pooling layer definition, and custom loss interface).

Requirements

  • C++11 or above.

Installation

  • Clone the repository: git clone [email protected]:AllenZYJ/Edge-Computing-Engine.git
  • Build the project: cd Edge-Computing-Engine/install_diff && make && make install

Usage

g++ main.cpp -o main -lautodiff
./main

Contributing

Contributions to Edge-Computing-Engine are welcome. To contribute, please follow these steps:

  • Fork the repository.
  • Create a new branch for your feature or bug fix: git checkout -b my-new-feature
  • Make your changes and commit them: git commit -am 'Add some feature'
  • Push your changes to the branch: git push origin my-new-feature
  • Submit a pull request.

Please ensure your code adheres to the existing style and passes the existing tests before submitting a pull request.

License

email:[email protected] | [email protected]

The author's personal website is Likedge, and the author's email is [email protected].

Edge-Computing-Engine is released under the Apache2.0. See the LICENSE file for details.