Tensor is a library and extension that provides objects for scientific computing in PHP. The multithreaded extension is especially suited for computing large sets of numbers. In some cases, the extension is 230X faster than the same operation in PHPland. Tensor is used by libraries such as Rubix ML to build and accelerate machine learning algorithms such as linear regression, dimensionality reduction, and neural networks.

Follow the instructions below to install either Tensor PHP or the Tensor extension.

Install Tensor PHP into your project with Composer:

$ composer require scienide/tensor

Install the Tensor extension via PECL:

$ pecl install tensor

Note: If both the library and extension are installed, the extension will take precedence.

• PHP 7.4 or above

• A C compiler such as GCC, Clang, or Visual C++
• A Fortran compiler such as GFortran
• The PHP development package (source code and tooling)
• OpenBLAS development package
• LAPACKE development package
• GNU make 3.81 or later
• autoconf 2.31 or later
• automake 1.14 or later
• Ubuntu build-essentials

Clone the repository locally using Git:

$ git clone https://github.com/Scien-ide/Tensor

Make sure you have all the necessary build tools installed such as a C compiler and make tools. For example, on an Ubuntu linux system you can enter the following on the command line to install the necessary dependencies.

$ sudo apt-get install make gcc gfortran php-dev libopenblas-dev liblapacke-dev re2c build-essential

Then, change into the ext directory from the project root and run the following commands from the terminal. See this guide for more information on compiling PHP extensions with PHPize.

$ cd ./ext
$ phpize
$ ./configure
$ make
$ sudo make install

Finally, add the following line to your php.ini configuration to install the extension.

extension=tensor.so

To confirm that the extension is loaded in PHP, you can run the following command.

php -m | grep tensor

Tensor is funded by donations from the community. You can become a sponsor by making a contribution to one of our funding sources below.

• Github Sponsors

See CONTRIBUTING.md for guidelines.

The code is licensed MIT and the documentation is licensed CC BY-NC 4.0.