Unified interface for attributes

In this MR, I propose a more unified attributes handling.

This MR, once merged, will break every other MR!

Refactor

• Use the term "attribute" instead of "parameter"
• Uniformized function naming ("hasAttr" and "getAttr" + "addAttr"/"setAttr"/"delAttr" for DynamicAttributes)
• Parametrizable -> StaticAttributes
• CParameter -> DynamicAttributes
• Adding abstract class Attributes to uniformize Dynamic & StaticAttributes

Also

• Includes fix for bug #8 (closed) (as it may get lost in MR !9 (merged))
• Distinguish between "addAttr" (asserts if already exists) and "setAttr" (do not care if already exists)
• "Universal" Python binding for DynamicAttributes
• Added AIDGE_THROW_OR_ABORT macro

aidge_core/unit_tests/test_parameters.py

@@ -27,21 +27,21 @@ class test_parameters(unittest.TestCase):
         out_channels = 8
         k_dims = [2, 2]
         conv_op = aidge_core.Conv2D(in_channels , out_channels, k_dims).get_operator()
-        self.assertEqual(conv_op.get("InChannels"), in_channels)
-        self.assertEqual(conv_op.get("OutChannels"), out_channels)
-        self.assertEqual(conv_op.get("KernelDims"), k_dims)
+        self.assertEqual(conv_op.get_parameter("InChannels"), in_channels)
+        self.assertEqual(conv_op.get_parameter("OutChannels"), out_channels)
+        self.assertEqual(conv_op.get_parameter("KernelDims"), k_dims)
 
     def test_fc(self):
         out_channels = 8
         nb_bias = True
         fc_op = aidge_core.FC(out_channels, nb_bias).get_operator()
-        self.assertEqual(fc_op.get("OutChannels"), out_channels)
-        self.assertEqual(fc_op.get("NoBias"), nb_bias)
+        self.assertEqual(fc_op.get_parameter("OutChannels"), out_channels)
+        self.assertEqual(fc_op.get_parameter("NoBias"), nb_bias)
 
     def test_matmul(self):
         out_channels = 8
         matmul_op = aidge_core.Matmul(out_channels).get_operator()
-        self.assertEqual(matmul_op.get("OutChannels"), out_channels)
+        self.assertEqual(matmul_op.get_parameter("OutChannels"), out_channels)
 
     def test_producer_1D(self):
         dims = [5]
@@ -71,7 +71,7 @@ class test_parameters(unittest.TestCase):
     def test_leaky_relu(self):
         negative_slope = 0.25
         leakyrelu_op = aidge_core.LeakyReLU(negative_slope).get_operator()
-        self.assertEqual(leakyrelu_op.get("NegativeSlope"), negative_slope)
+        self.assertEqual(leakyrelu_op.get_parameter("NegativeSlope"), negative_slope)
 
 if __name__ == '__main__':
     unittest.main()