Skip to main content

Sionna RT - A hardware-accelerated differentiable ray tracer for radio propagation modeling

Project description

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://propagamap.github.io/sionna-rt/},
 year = {2022},
 version = {2.0.1}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sionna_rt_propasim-1.0.3.tar.gz (34.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sionna_rt_propasim-1.0.3-py3-none-any.whl (11.8 MB view details)

Uploaded Python 3

File details

Details for the file sionna_rt_propasim-1.0.3.tar.gz.

File metadata

  • Download URL: sionna_rt_propasim-1.0.3.tar.gz
  • Upload date:
  • Size: 34.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for sionna_rt_propasim-1.0.3.tar.gz
Algorithm Hash digest
SHA256 3069f4a6326352a0f028eb1bcbfece768250023bedd14454f92caa6887daa407
MD5 8161454d687c4dd04669d6b61e18f804
BLAKE2b-256 8091d8da0c9588b5b5f7b2c0da73e4d92c879b2e8af00ca42e1279c7b2389527

See more details on using hashes here.

Provenance

The following attestation bundles were made for sionna_rt_propasim-1.0.3.tar.gz:

Publisher: publish.yml on propagamap/sionna-rt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sionna_rt_propasim-1.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for sionna_rt_propasim-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c5b7c1cd2ade5fe56562690f205ff45434cbbe1475500fc2e89021aed22b61b3
MD5 aac480805f7ead4d573635e8dbd99410
BLAKE2b-256 d9084d9bbd060195ab8054ca2cbfc24cef393309eb0363f7346b66d7c0216c8e

See more details on using hashes here.

Provenance

The following attestation bundles were made for sionna_rt_propasim-1.0.3-py3-none-any.whl:

Publisher: publish.yml on propagamap/sionna-rt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page