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Signed-off-by: Guillermo Marcus <[email protected]>
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37 changes: 37 additions & 0 deletions .github/ISSUE_TEMPLATE/10-bug_report.md
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---
name: Bug report
about: Create a report to help us make this project better
title: ''
labels: ''
assignees: ''

---

**Describe the bug**
A clear and concise description of what the bug is.

**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

**Expected behavior**
A clear and concise description of what you expected to happen.

**Screenshots**
If applicable, add screenshots to help explain your problem.

**System:**
- OS: [e.g. Ubuntu 20.04]
- NVIDIA Driver version: [e.g. 450.00]
- CUDA version: [e.g. 11.0]
- TensorFlow version: [e.g. 2.5.0]

**GPUs:**
- Model: [e.g. RTX 3090]
- Memory: [e.g. 24GB]

**Additional context**
Add any other context about the problem here.
20 changes: 20 additions & 0 deletions .github/ISSUE_TEMPLATE/20-feature_request.md
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---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''

---

**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

**Describe the solution you'd like**
A clear and concise description of what you want to happen.

**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.

**Additional context**
Add any other context or screenshots about the feature request here.
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---
name: Blank
about: Empty issue that is not one of the categories above
title: ''
labels: ''
assignees: ''

---


13 changes: 13 additions & 0 deletions .gitignore
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.vscode/
build/
sionna.egg-info/
__pycache__
.ipynb_checkpoints
.pytest_cache
.DS_Store
.buildinfo
.Trash-1000
.logs
dev
_build
doc/build
76 changes: 76 additions & 0 deletions CODE_OF_CONDUCT.md
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# Code of Conduct

## Our Pledge

In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to make participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex characteristics, gender identity and expression,
level of experience, education, socio-economic status, nationality, personal
appearance, race, religion, or sexual identity and orientation.

## Our Standards

Examples of behavior that contributes to creating a positive environment
include:

* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members

Examples of unacceptable behavior by participants include:

* The use of sexualized language or imagery and unwelcome sexual attention or
advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic
address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting

## Our Responsibilities

Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior.

Project maintainers have the right and responsibility to remove, edit, or
reject comments, commits, code, wiki edits, issues, and other contributions
that are not aligned to this Code of Conduct, or to ban temporarily or
permanently any contributor for other behaviors that they deem inappropriate,
threatening, offensive, or harmful.

## Scope

This Code of Conduct applies within all project spaces, and it also applies when
an individual is representing the project or its community in public spaces.
Examples of representing a project or community include using an official
project e-mail address, posting via an official social media account, or acting
as an appointed representative at an online or offline event. Representation of
a project may be further defined and clarified by project maintainers.

## Enforcement

Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported by contacting the project team at [email protected]. All
complaints will be reviewed and investigated and will result in a response that
is deemed necessary and appropriate to the circumstances. The project team is
obligated to maintain confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.

Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.

## Attribution

This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), version 1.4,
available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html.

[homepage]: https://www.contributor-covenant.org

For answers to common questions about this code of conduct, see
https://www.contributor-covenant.org/faq.
63 changes: 63 additions & 0 deletions CONTRIBUTING.md
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<!--
SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: Apache-2.0
-->
# Contributing to Sionna

## Issue tracking
For enhancement, bugfix, or change requests, please open an issue.

## Pull requests
Creating a pull request requires the following steps:

1. Fork the repository and create your branch from `stable`.
2. Add new tests if needed in the ``test`` folder.
3. Lint your code (``make lint``).
4. Ensure that all tests pass (``make test``).
5. Include a license at the topf of new files.
5. Make sure that all commits are "signed-off" as described below.

### Signing your contributions

* We require that all contributors "sign-off" on their commits with the [Developer Certificate of Origin (DCO)](https://developercertificate.org). This certifies that the contribution is your original work, or that you have rights to submit it under the same license, or a compatible license.

* Any contribution which contains commits that are not signed-off will not be accepted.

* To sign-off on a commit, you simply use the `--signoff` (or `-s`) option when committing your changes:
```bash
$ git commit -s -m "New feature."
```
This will append the following to your commit message:
```
Signed-off-by: Your Name <[email protected]>
```

* The full text of the DCO:

```
Developer Certificate of Origin
Version 1.1
Copyright (C) 2004, 2006 The Linux Foundation and its contributors.
1 Letterman Drive
Suite D4700
San Francisco, CA, 94129
Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed.
```

```
Developer's Certificate of Origin 1.1
By making a contribution to this project, I certify that:
(a) The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or
(b) The contribution is based upon previous work that, to the best of my knowledge, is covered under an appropriate open source license and I have the right under that license to submit that work with modifications, whether created in whole or in part by me, under the same open source license (unless I am permitted to submit under a different license), as indicated in the file; or
(c) The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it.
(d) I understand and agree that this project and the contribution are public and that a record of the contribution (including all personal information I submit with it, including my sign-off) is maintained indefinitely and may be redistributed consistent with this project or the open source license(s) involved.
```


10 changes: 10 additions & 0 deletions DOCKERFILE
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FROM tensorflow/tensorflow:2.8.0-gpu-jupyter
EXPOSE 8888
COPY . /tmp/
WORKDIR /tmp/
RUN make install
RUN rm -R /tf/* && cp /tmp/examples/* /tf
RUN rm -R /tmp
RUN chmod 777 -R /tf
WORKDIR /tf
CMD ["jupyter", "notebook", "--port=8888", "--no-browser", "--NotebookApp.token=\"\"", "--ip=0.0.0.0", "--allow-root"]
14 changes: 14 additions & 0 deletions LICENSE
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SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: Apache-2.0

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
4 changes: 4 additions & 0 deletions MANIFEST.in
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recursive-include ./sionna *.csv *.npy *.json
#include ./sionna *.csv, *.npy
prune test

25 changes: 25 additions & 0 deletions Makefile
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GPU=
ifdef gpus
GPU=--gpus=$(gpus)
endif
export GPU

doc: FORCE
cd doc && ./build_docs.sh

docker:
docker build -t sionna -f DOCKERFILE .

install: FORCE
pip install .

lint:
pylint sionna/

run-docker:
docker run -u $(id -u):$(id -g) -p 8888:8888 --privileged=true $(GPU) --rm -it sionna

test: FORCE
cd test && pytest

FORCE:
113 changes: 113 additions & 0 deletions README.md
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<!--
SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: Apache-2.0
-->
# Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Sionna&trade; is an open-source Python library for link-level simulations of digital communication systems built on top of the open-source software library [TensorFlow](https://www.tensorflow.org>) for machine learning.

The official documentation can be found [here](https://nvlabs.github.io/sionna/).

## Installation
Sionna requires [Python](https://www.python.org/) and [Tensorflow](https://www.tensorflow.org/).
In order to run the tutorial notebooks on your machine, you also need [Jupyter](https://jupyter.org/).
You can alternatively test them on [Google Colab](https://colab.research.google.com/).
Although not necessary, we recommend running Sionna in a [Docker container](https://www.docker.com).

Sionna requires [TensorFlow 2.5 or higher](https://www.tensorflow.org/install) and Python 3.6-3.9. We recommend Ubuntu 20.04.

We refer to the [TensorFlow GPU support tutorial](https://www.tensorflow.org/install/gpu) for GPU support and the required driver setup.

### Installation using pip

We recommend to do this within a [virtual environment](https://docs.python.org/3/tutorial/venv.html), e.g., using [conda](https://docs.conda.io).

1.) Install the package
```
pip install sionna
```

2.) Test the installation in Python
```
python
```
```
>>> import sionna
>>> print(sionna.__version__)
0.8.0
```

3.) Once Sionna is installed, you can run the [Sionna "Hello, World!" example](https://nvlabs.github.io/sionna/examples/Hello_World.html), have a look at the [quick start guide](https://nvlabs.github.io/sionna/quickstart.html), or at the [tutorials](https://nvlabs.github.io/sionna/tutorials.html).

The example notebooks can be opened and executed with [Jupyter](https://jupyter.org/).

For a local installation, the [JupyterLab Desktop](https://github.com/jupyterlab/jupyterlab-desktop) application can be used which also includes the Python installation.

### Docker-based installation

1.) Make sure that you have [Docker](<https://docs.docker.com/engine/install/ubuntu/>) installed on your system. On Ubuntu 20.04, you can run for example

```
sudo apt install docker.io
```

Ensure that your user belongs to the `docker` group (see [Docker post-installation](<https://docs.docker.com/engine/install/linux-postinstall/>))

```
sudo usermod -aG docker $USER
```
Log out and re-login to load updated group memberships.

For GPU support on Linux, you need to install the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-docker).


2.) Build the Sionna Docker image. From within the Sionna directory, run

```
make docker
```

3.) Run the Docker image with GPU support

```
make run-docker gpus=all
```
or without GPU:
```
make run-docker
```

This will immediately launch a Docker image with Sionna installed, running Jupyter on port 8888.

4.) Browse through the example notebooks by connecting to [http://127.0.0.1:8888](http://127.0.0.1:8888) in your browser.

### Installation from source

We recommend to do this within a [virtual environment](https://docs.python.org/3/tutorial/venv.html), e.g., using [conda](https://docs.conda.io).

1.) Clone this repository and execute from within its root folder
```
make install
```
2.) Test the installation in Python
```
>>> import sionna
>>> print(sionna.__version__)
0.8.0
```

## License and Citation

Sionna is Apache-2.0 licensed, as found in the [LICENSE](https://github.com/nvlabs/sionna/blob/main/LICENSE) file.

If you use this software, please cite it as:
```bibtex
@article{sionna,
title = {Sionna: An Open-Source Library for Next-Generation Physical Layer Research},
author = {Hoydis, Jakob and Cammerer, Sebastian and {Ait Aoudia}, Fayçal and Vem, Avinash and Binder, Nikolaus and Marcus, Guillermo and Keller, Alexander},
year = {2022},
month = {Mar.},
journal = {arXiv preprint},
online = {https://github.com/NVlabs/sionna/blob/main/sionna.pdf}
}
```
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