update for keras 3.0

kgcnn/layers/modules.py

@@ -60,3 +60,26 @@ def get_config(self):
         config = super(ExpandDims, self).get_config()
         config.update({"axis": self.axis})
         return config
+
+
+def Input(
+        shape=None,
+        batch_size=None,
+        dtype=None,
+        sparse=None,
+        batch_shape=None,
+        name=None,
+        tensor=None,
+        ragged=None
+    ):
+
+    layer = ks.layers.InputLayer(
+        shape=shape,
+        batch_size=batch_size,
+        dtype=dtype,
+        sparse=sparse,
+        batch_shape=batch_shape,
+        name=name,
+        input_tensor=tensor,
+    )
+    return layer.output

kgcnn/literature/DMPNN/_make.py

@@ -6,6 +6,7 @@
 from kgcnn.layers.scale import get as get_scaler
 from kgcnn.models.utils import update_model_kwargs
 from keras_core.backend import backend as backend_to_use
+from kgcnn.layers.modules import Input
 from ._model import model_disjoint
 
 # Keep track of model version from commit date in literature.
@@ -132,7 +133,7 @@ def make_model(name: str = None,
         :obj:`keras.models.Model`
     """
     # Make input
-    model_inputs = [ks.layers.Input(**x) for x in inputs]
+    model_inputs = [Input(**x) for x in inputs]
 
     if input_tensor_type in ["padded", "masked"]:
         batched_nodes, batched_edges, batched_indices, batched_reverse, total_nodes, total_edges = model_inputs[:6]