diff --git a/src/pyjuice/model/tensorcircuit.py b/src/pyjuice/model/tensorcircuit.py
index 9a1994bf..302ccc6d 100644
--- a/src/pyjuice/model/tensorcircuit.py
+++ b/src/pyjuice/model/tensorcircuit.py
@@ -313,7 +313,7 @@ def _set_root_node_flows():
                 self.node_flows[self._root_node_range[0]:self._root_node_range[1],:] = root_flows
             else:
                 if ll_weights.dim() == 1:
-                    ll_weights = ll_weights.unsqueeze(1)
+                    ll_weights = ll_weights.unsqueeze(0)
 
                 assert ll_weights.size(0) == self.num_root_nodes
 
@@ -519,6 +519,12 @@ def print_statistics(self):
         print(f"> Number of edges: {self.num_edges}")
         print(f"> Number of sum parameters: {self.num_sum_params}")
 
+    def get_node_mars(self, ns: CircuitNodes):
+        pass
+
+    def get_node_flows(self, ns: CircuitNodes):
+        pass
+
     def enable_partial_evaluation(self, scopes: Union[Sequence[BitSet],Sequence[int]], 
                                   forward: bool = False, backward: bool = False, overwrite: bool = False):
         # Create scope2nid cache
diff --git a/tests/layer/propagation_algs_test.py b/tests/layer/propagation_algs_test.py
index 852caf0d..7d91b71a 100644
--- a/tests/layer/propagation_algs_test.py
+++ b/tests/layer/propagation_algs_test.py
@@ -232,7 +232,7 @@ def test_general_ll_prop():
 
                         my_pflows[layer.partitioned_pfids[0][j,:]+i] = pflows
 
-                assert torch.all(torch.abs(my_pflows - param_flows) < 4e-3)
+                assert torch.all(torch.abs(my_pflows - param_flows) < 6e-3)
 
 
 def test_mpe_prop():