Support for recurrent networks

aidge_backend_cpu/unit_tests/test_recipes.py

@@ -15,7 +15,7 @@ import aidge_backend_cpu
 from functools import reduce
 import numpy as np
 
-class test_recipies(unittest.TestCase):
+class test_recipes(unittest.TestCase):
     def setUp(self):
         pass
 
@@ -33,12 +33,9 @@ class test_recipies(unittest.TestCase):
         conv = aidge_core.Conv2D(1, 1, [3, 3], name="Conv0")
         bn = aidge_core.BatchNorm2D(1, name="Add0")
 
-        graph_view = aidge_core.sequential([conv, bn])
+        graph_view = aidge_core.sequential([input_node, conv, bn])
 
         # Add random values to conv and BatchNorm parameters
-        input_node.add_child(graph_view)
-        input_node.get_operator().set_datatype(aidge_core.DataType.Float32)
-        input_node.get_operator().set_backend("cpu")
         graph_view.set_datatype(aidge_core.DataType.Float32)
         graph_view.set_backend("cpu")