version 0.2.3

aidge_backend_cpu/unit_tests/test_recipes.py

@@ -36,7 +36,7 @@ class test_recipes(unittest.TestCase):
         graph_view = aidge_core.sequential([input_node, conv, bn])
 
         # Add random values to conv and BatchNorm parameters
-        graph_view.set_datatype(aidge_core.DataType.Float32)
+        graph_view.set_datatype(aidge_core.dtype.float32)
         graph_view.set_backend("cpu")
 
         np_weights = np.arange(9).reshape([1, 1, 3, 3]).astype(np.float32)