[FEATURE] Add property reasoning_matrices

prototorch/core/components.py

@@ -262,20 +262,10 @@ class Reasonings(torch.nn.Module):
     def num_classes(self):
         return self._reasonings.shape[1]
 
-    # @property
-    # def reasonings(self):
-    #     """Tensor containing the reasoning matrices."""
-    #     return self._reasonings.detach().cpu()
-
     @property
     def reasonings(self):
-        with torch.no_grad():
+        """Tensor containing the reasoning matrices."""
-            A, B = self._reasonings.permute(2, 1, 0).clamp(0, 1)
+        return self._reasonings.detach().cpu()
-            pk = A
-            nk = (1 - pk) * B
-            ik = 1 - pk - nk
-            img = torch.cat([pk, nk, ik], dim=0).permute(1, 0, 2)
-        return img.unsqueeze(1).cpu()
 
     def _register_reasonings(self, reasonings):
         self.register_buffer("_reasonings", reasonings)
@@ -330,6 +320,22 @@ class ReasoningComponents(AbstractComponents):
     def num_classes(self):
         return self._reasonings.shape[1]
 
+    @property
+    def reasonings(self):
+        """Tensor containing the reasoning matrices."""
+        return self._reasonings.detach().cpu()
+
+    @property
+    def reasoning_matrices(self):
+        """Reasoning matrices for each class."""
+        with torch.no_grad():
+            A, B = self._reasonings.permute(2, 1, 0).clamp(0, 1)
+            pk = A
+            nk = (1 - pk) * B
+            ik = 1 - pk - nk
+            matrices = torch.stack([pk, nk, ik], dim=-1).permute(1, 2, 0)
+        return matrices.cpu()
+
     def _register_reasonings(self, reasonings):
         self.register_parameter("_reasonings", Parameter(reasonings))