Skip to main content

Sionna RT: The Ray Tracing Package of Sionna™

Sionna RT is the stand-alone ray tracing package of the Sionna™ Library for Research on Communication Systems. It is built on top of Mitsuba 3 and is interoperable with TensorFlow, PyTorch, and JAX.

The official documentation can be found on the Sionna website.

Installation

The recommended way to install Sionna RT is via pip:

pip install sionna-rt

Sionna RT has the same requirements as Mitsuba 3 and we refer to its installation guide for further information.

To run Sionna RT on CPU, LLVM is required by Dr.Jit. Please check the installation instructions for the LLVM backend.

Installation from source

After to cloning the repository, you can install sionna-rt by running the following command from within the repository's root directory:

pip install .

Testing

First, you need to install the test requirements by executing the following command from the repository's root directory:

pip install '.[test]'

The unit tests can then be executed by running pytest from within the test folder.

Building the Documentation

Install the requirements for building the documentation by running the following command from the repository's root directory:

pip install '.[doc]'

You might need to install pandoc manually.

You can then build the documentation by executing make html from within the doc folder.

The documentation can then be served by any web server, e.g.,

python -m http.server --dir build/html

For Developers

The documentation of Sionna RT includes developer guides explaining how to extend it with custom antenna patterns, radio materials, etc.

Development requirements can be installed by executing from the repository's root directory:

pip install '.[dev]'

Linting of the code can be achieved by running pylint src/ from the repository's root directory.

License and Citation

Sionna RT is Apache-2.0 licensed, as found in the LICENSE file.

If you use this software, please cite it as:

@software{sionna,
 title = {Sionna},
 author = {Hoydis, Jakob and Cammerer, Sebastian and {Ait Aoudia}, Fayçal and Nimier-David, Merlin and Maggi, Lorenzo and Marcus, Guillermo and Vem, Avinash and Keller, Alexander},
 note = {https://nvlabs.github.io/sionna/},
 year = {2022},
 version = {2.1.0}
}

Metadata

Release files for sionna-rt 2.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for sionna-rt 2.1.0
File Interpreter ABI Platform
sionna_rt-2.1.0-py3-none-any.whl Python 3 none any Details

Release files / sionna_rt-2.1.0-py3-none-any.whl

Download URL sionna_rt-2.1.0-py3-none-any.whl
Size 8.4 MB
Tags Python 3
SHA-256 checksum
How to use checksums
370f381aae9a48e42f77a31d6454baca34e5a1b7b1308ee9985b510828368fe4
BLAKE2b-256 checksum
How to use checksums
80d5368d3700cb4634f09336870bdc838ced3473158198f7fe1003425e8e1b68
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

Release history Release notifications | RSS feed

2.2.0

1 release file

This release

2.1.0 This release

1 release file

2.0.1

1 release file

2.0.0

1 release file

1.2.2

1 release file

1.2.1

1 release file

1.2.0

1 release file

1.1.0

1 release file

1.0.2

1 release file

1.0.1

1 release file

1.0.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page