Skip to content

vlang/vtl

Folders and files

NameName
Last commit message
Last commit date
May 27, 2024
Nov 16, 2024
Nov 26, 2022
Dec 17, 2024
Aug 26, 2023
Nov 16, 2024
Oct 17, 2023
Nov 20, 2023
Nov 16, 2024
Dec 17, 2024
Jan 6, 2024
Jun 6, 2024
Nov 16, 2024
Apr 9, 2024
Aug 10, 2022
Jul 4, 2022
Apr 5, 2021
Apr 17, 2021
Apr 5, 2021
Jan 6, 2024
Apr 2, 2021

Repository files navigation

The V Tensor Library

vlang.io | Docs | Tutorials | Changelog | Contributing

Mentioned in Awesome V Continuous Integration Deploy Documentation License: MIT

import vtl
t := vtl.from_array([1.0, 2, 3, 4], [2, 2])!
t.get([1, 1])
// 4.0

VTL Provides

  • An n-dimensional Tensor data structure
  • Sophisticated reduction, elementwise, and accumulation operations
  • Data Structures that can easily be passed to C libraries
  • Powerful linear algebra routines backed by VSL.

In the docs you can find more information about this module

Installation

Install dependencies (optional)

We use VSL as backend for some functionalities. VTL requires VSL's linear algebra module. If you wish you to use vtl without these, the vtl module will still function as normal.

Follow this install instructions at VSL docs in order to install VSL with all needed dependencies.

Install VTL

v install vtl

Done. Installation completed.

Testing

To test the module, just type the following command:

v test .

License

MIT

Contributors

This work was originally based on the work done by Christopher (christopherzimmerman).

The development of this library continues its course after having reimplemented its core and a large part of its interface. In the same way, we do not want to stop recognizing the work and inspiration that the library done by Christopher has given.

Made with contributors-img.