chore: release 0.39.0

docs/source/additional/release.rst

@@ -31,6 +31,24 @@ This is an overview of the main changes, please have a look at the changelog of
 - `backend changelog <https://github.com/Substra/substra-backend/blob/main/CHANGELOG.md>`__
 - `orchestrator changelog <https://github.com/Substra/orchestrator/blob/main/CHANGELOG.md>`__
 
+Substra 0.39.0 --- 2024-09-13
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+**All**
+
+- The release 0.39.0 focuses on using GPU and on-demand GPU. The main visible change is the introduction of the new fields in susbtra-backend charts `worker.computePod.affinity`, `worker.computePod.nodeSelector` and `worker.computePod.tolerations`, allowing the use of node pools spawned on-demand with specific capabilities (like with a GPU).
+
+Other changes include:
+- Allow re-use of secrets (instead of runtime generation) in substra-backend
+- Reduced build time by downloading functions only if not present on the current backend 
+- Better handling of errors without logs
+- Function profiling has been introduced, available on all frontend on linked tasks.
+- add support python 3.12
+
+**SubstraFL**
+
+- BREAKING: change `use_gpu`` to `disable_gpu` in all `TorchAlgo`. 
+
 Substra 0.38.0 --- 2024-06-13
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 

docs/source/additional/releases.yaml

@@ -8,6 +8,38 @@ components: # for table headers
   - substra-tests
 
 releases:
+  - version: 0.39.0
+    components:
+      substrafl:
+        version: 0.47.0
+        link: https://github.com/Substra/substrafl/releases/tag/0.47.0
+      substra:
+        version: 0.54.0
+        link: https://github.com/Substra/substra/releases/tag/0.54.0
+      substra-tools:
+        version: 0.22.0
+        link: https://github.com/Substra/substra-tools/releases/tag/0.22.0
+      substra-backend:
+        version: 0.48.0
+        link: https://github.com/Substra/substra-backend/releases/tag/0.48.0
+        helm:
+          version: 26.9.1
+          link: https://artifacthub.io/packages/helm/substra/substra-backend/26.9.1
+      orchestrator:
+        version: 0.43.0
+        link: https://github.com/Substra/orchestrator/releases/tag/0.43.0
+        helm:
+          version: 8.7.6
+          link: https://artifacthub.io/packages/helm/substra/orchestrator/8.7.6
+      substra-frontend:
+        version: 0.52.0
+        link: https://github.com/Substra/substra-frontend/releases/tag/0.52.0
+        helm:
+          version: 1.2.2
+          link: https://artifacthub.io/packages/helm/substra/substra-frontend/1.2.2
+      substra-tests:
+        version: 0.52.0
+        link: https://github.com/Substra/substra-tests/releases/tag/0.52.0
   - version: 0.38.0
     components:
       substrafl:

docs/source/examples/substra_core/diabetes_example/assets/functions/aggregation/Dockerfile

@@ -2,7 +2,7 @@
 FROM python:3.9-slim
 
 # install dependencies
-RUN pip3 install 'pandas<2.0' 'numpy<2.0' 'substratools==0.22.0a2'
+RUN pip3 install 'pandas<2.0' 'numpy<2.0' substratools
 
 # add your algorithm script to docker image
 ADD federated_analytics_functions.py .

docs/source/examples/substra_core/diabetes_example/assets/functions/local_first_order_computation/Dockerfile

@@ -2,7 +2,7 @@
 FROM python:3.9-slim
 
 # install dependencies
-RUN pip3 install 'pandas<2.0' 'numpy<2.0' 'substratools==0.22.0a2'
+RUN pip3 install 'pandas<2.0' 'numpy<2.0' substratools
 
 # add your algorithm script to docker image
 ADD federated_analytics_functions.py .

docs/source/examples/substra_core/diabetes_example/assets/functions/local_second_order_computation/Dockerfile

@@ -2,7 +2,7 @@
 FROM python:3.9-slim
 
 # install dependencies
-RUN pip3 install 'pandas<2.0' 'numpy<2.0' 'substratools==0.22.0a2'
+RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' substratools
 
 # add your algorithm script to docker image
 ADD federated_analytics_functions.py .

docs/source/examples/substra_core/titanic_example/assets/function_random_forest/predict/Dockerfile

@@ -2,7 +2,7 @@
 FROM python:3.12-slim
 
 # install dependencies
-RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' 'substratools==0.22.0a2'
+RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' substratools
 
 # add your function script to docker image
 ADD titanic_function_rf.py .

docs/source/examples/substra_core/titanic_example/assets/function_random_forest/train/Dockerfile

@@ -2,7 +2,7 @@
 FROM python:3.12-slim
 
 # install dependencies
-RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' 'substratools==0.22.0a2'
+RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' substratools
 
 # add your function script to docker image
 ADD titanic_function_rf.py .

docs/source/examples/substra_core/titanic_example/assets/metric/Dockerfile

@@ -2,7 +2,7 @@
 FROM python:3.12-slim
 
 # install dependencies
-RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' 'substratools==0.22.0a2'
+RUN pip3 install pandas 'numpy<2.0' 'scikit-learn==1.5.0' substratools
 
 # add your metrics script to docker image
 ADD titanic_metrics.py .