Update export registry with new tensor entries

aidge_export_arm_cortexm/export_registry.py

 from aidge_core.export_utils import ExportLib
+from aidge_export_arm_cortexm.utils import ROOT
 
 class ExportLibAidgeARM(ExportLib):
     _name="aidge_arm"
+    def __init__(self, operator):
+        super(ExportLibAidgeARM, self).__init__(operator)
+        self.forward_template = str(ROOT / "_Aidge_Arm" / "templates" / "forward_call" / "forward.jinja")
+    
 
 
 # TODO ugly fix for Tensor registration issue...
 import aidge_core
 aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.float32],
                            aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.float32]))
+aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.int32],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.int32]))
+aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.int8],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.int8]))
+aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.int4],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.int4]))
+aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.uint4],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.uint4]))
+aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.dual_int4],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.dual_int4]))
+aidge_core.register_Tensor(["aidge_arm", aidge_core.dtype.dual_uint4],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.dual_uint4]))
 
 class ExportLibCMSISNN(ExportLib):
     _name="export_cmsisnn"
+