GeezerVison

The World Wide Web, restored to 800 pixels of glory.

GeezerVison is showing tensor-array.github.io — TensorArray: Tensor-Array

TensorArray

Tensor-Array

C++

A C++ Tensor library that can be used to work with machine learning or deep learning project.

Build your own neural network models with this library.

Installing <tt>Tensor-Array</tt>

You need to clone repository by using Git

You need to install Tensor-Array with CMake

git clone https://github.com/Tensor-Array/Tensor-Array.git

cd Tensor-Array

mkdir build

cd build

cmake ..

cmake --build .

cmake --install .

cd ..

Why this repository named <tt>Tensor-Array</tt>

We created a template struct that named TensorArray. That struct is a multi-dimensional array wrapper.

{C++}

#include <tensor-array/core/tensorbase.hh>

using namespace tensor_array::value;

int main()

{

TensorArray<float, 4, 4> example_tensor_array =

{{

{{ 1, 2, 3, 4 }},

{{ 5, 6, 7, 8 }},

{{ 9, 10, 11, 12 }},

{{ 13, 14, 15, 16 }},

}};

return 0;

}

That code is wrapping for:

{C++}

int main()

{

float example_tensor_array[4][4] =

{

{ 1, 2, 3, 4 },

{ 5, 6, 7, 8 },

{ 9, 10, 11, 12 },

{ 13, 14, 15, 16 },

};

return 0;

}

The <tt>Tensor</tt> class.

The Tensor class is a storage that store value and calculate the tensor.

The Tensor::calc_grad() method can do automatic differentiation.

The Tensor::get_grad() method can get the gradient after call Tensor::calc_grad().

{C++}

#include <iostream>

#include <tensor-array/core/tensor.hh>

using namespace std;

using namespace tensor_array::value;

int main()

{

TensorArray<float, 4, 4> example_tensor_array =

{{

{{ 1, 2, 3, 4 }},

{{ 5, 6, 7, 8 }},

{{ 9, 10, 11, 12 }},

{{ 13, 14, 15, 16 }},

}};

TensorArray<float> example_tensor_array_scalar = {100};

Tensor example_tensor_1(example_tensor_array);

Tensor example_tensor_2(example_tensor_array_scalar);

Tensor example_tensor_sum = example_tensor_1 + example_tensor_2;

cout << example_tensor_sum << endl;

example_tensor_sum.calc_grad();

cout << example_tensor_1.get_grad() << endl;

cout << example_tensor_2.get_grad() << endl;

return 0;

}

Generated by

1.9.1

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.