Merge pull request #265 from synsense/264-update-sinabs-license-to-apache-20

264 update sinabs license to apache 2.0

Author: ssinhaleite

.github/workflows/ci-pipeline.yml

@@ -16,12 +16,8 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ["3.8", "3.10",]
-        torch-version: ["1.12.0",]
-        exclude:
-          - os: ubuntu-latest
-            python-version: "3.10"
-            torch-version: "1.8.1"
+        python-version: ["3.8",]
+        torch-version: ["2.0.0",]
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}

CITATION.cff

@@ -38,6 +38,6 @@ keywords:
   - Neuromorphic Engineering
   - Computational Efficiency
   - Speck
-license: AGPL-3.0
+license: Apache-2.0
 doi: 10.5281/zenodo.8385545
 url: https://github.com/synsense/sinabs

ChangeLog

@@ -1,6 +1,7 @@
 CHANGES
 =======
 
+* Update Sinabs license to Apache 2.0
 * Spike count plot in 'DynapcnnVisualizer' is optional 
 * `DynapcnnVisualizer` allows custom JIT filters to make readout predictions
 

LICENSE

@@ -44,7 +44,7 @@ Please join us on the [#sinabs Discord channel](https://discord.gg/V6FHBZURkg)!
 
 License
 -------
-Sinabs is published under AGPL v3.0. See the LICENSE file for details.
+Sinabs is published under Apache v2.0. See the LICENSE file for details.
 
 
 Contributing to Sinabs
@@ -61,7 +61,7 @@ In case you find this software library useful for your work please consider citi
 @software{sinabs,
 author = {Sheik, Sadique and Lenz, Gregor  and Bauer, Felix and Kuepelioglu, Nogay },
 doi = {10.5281/zenodo.8385545},
-license = {AGPL-3.0},
+license = {Apache-2.0},
 title = {{SINABS: A simple Pytorch based SNN library specialised for Speck}},
 url = {https://github.com/synsense/sinabs}
 }

README.md

@@ -2,7 +2,7 @@
 ========================================
 Adaptive Leaky Integrate and Fire (ALIF)
 ========================================
-:class:`~sinabs.layers.ALIF` layer with an adaptive threshold based on the output spikes. 
+:class:`~sinabs.layers.ALIF` layer with an adaptive threshold based on the output spikes.
 """
 
 import torch

docs/gallery/layers/plot_alif.py

@@ -10,13 +10,13 @@ homepage = sinabs.ai
 project_urls =
     Source code = https://github.com/synsense/sinabs
     Documentation = https://readthedocs.org/projects/sinabs/
-license = GNU AGPLv3
+license = Apache 2.0
 classifier =
     Development Status :: 4 - Beta
     Environment :: Console
     Intended Audience :: Science/Research
     Intended Audience :: Developers
-    License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
+    License :: OSI Approved :: Apache License Version 2.0 (Apache-2.0)
     Programming Language :: Python :: 3
 keywords =
     spiking neural networks