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The V Tensor Library

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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 .

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medvednikov