switch to version 4.0.1

SDP.md

@@ -9,7 +9,7 @@ Software Development Plan (SDP)
 * [x] Rework and clean base layers.
 * [ ] Add a properly designed transformer layer in ``kgcnn.layers`` .
 * [ ] Add an element-wise loader for ``Graphlist`` apart from tensor files. Must change dataformat for standard save.
-* [ ] Make a ``tf_dataset()`` function to return a generator dataset from `Graphlist` .
+* [x] Make a ``tf_dataset()`` function to return a generator dataset from `Graphlist` .
 * [ ] Add ``JARVISDataset`` . There is already a (yet not fully) port for `kgcnn` .
 * [ ] Add package wide Logger Level to change. 
 * [x] Training scripts need all seed for maximum reproducibility.

changelog.md

@@ -1,3 +1,7 @@
+v4.0.1
+
+*
+
 v4.0.0
 
 Completely reworked version of kgcnn for Keras 3.0 and multi-backend support. A lot of fundamental changes have been made.

kgcnn/__init__.py

@@ -1,5 +1,5 @@
 # Main package version.
-__kgcnn_version__ = "4.0.0"
+__kgcnn_version__ = "4.0.1"
 
 # Global definition of index order and axis.
 __indices_axis__ = 0

setup.py

@@ -6,10 +6,10 @@
 
 setup(
     name="kgcnn",
-    version="4.0.0",  # If version is updated, change version in `kgcnn.__init__` too. (and update changelog)
+    version="4.0.1",  # If version is updated, change version in `kgcnn.__init__` too. (and update changelog)
     author="Patrick Reiser",
     author_email="[email protected]",
-    description="General Base Layers for Graph Convolutions with tensorflow.keras",
+    description="General Base Layers for Graph Convolutions with Keras",
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://github.com/aimat-lab/gcnn_keras",