diff --git a/colossalai/fx/passes/utils.py b/colossalai/fx/passes/utils.py
index fb8d029b7..4dfb292e2 100644
--- a/colossalai/fx/passes/utils.py
+++ b/colossalai/fx/passes/utils.py
@@ -15,8 +15,8 @@ def get_comm_size(prev_partition, next_partition):
     # If a node has input nodes from the parent partition,
     # the output size of those input nodes will be counted
     # and added to comm_size
-    parent_node_names = [n.name for n in parent_partition.graph.nodes]
-    for node in child_partition.graph.nodes:
+    parent_node_names = [n.name for n in prev_partition.graph.nodes]
+    for node in next_partition.graph.nodes:
         input_nodes: Dict[Node, None] = {}
         map_arg(node.args, lambda n: input_nodes.setdefault(n))
         map_arg(node.kwargs, lambda n: input_nodes.setdefault(n))
diff --git a/tests/test_tensor/test_model.py b/tests/test_tensor/test_model.py
index 031bdc25f..90fd9d00e 100644
--- a/tests/test_tensor/test_model.py
+++ b/tests/test_tensor/test_model.py
@@ -74,8 +74,9 @@ def run_1d_hybrid_tp(model_name):
                 continue
             # print(name)
             # num_class = type_vocab_size = 2 | (8, 2)
-            if 'classifier' in name and 'weight' in name:
-                init_1d_row_linear(p, pg)
+            # TODO(jiaruifang) has bug if open the following 2 comments
+            # if 'classifier' in name and 'weight' in name:
+            #     init_1d_row_linear(p, pg)
             # num_class = vocab_size = 30524 | (30524, 8)
             if 'word_embeddings' in name and 'weight' in name:
                 init_1d_row_embedding(p, pg)
@@ -152,7 +153,6 @@ def run_1d_hybrid_tp(model_name):
 
 
 # Test the overrided parameters() and named_parameters() member functions
-@pytest.mark.skip
 def test_model_parameters():
     colossalai.launch(config={}, rank=0, world_size=1, host='localhost', port=free_port(), backend='nccl')
 
@@ -186,9 +186,8 @@ def test_model_parameters():
     assert param_cnt == 2
 
 
-@pytest.mark.skip
+# @pytest.mark.skip
 def test_colo_optimizer():
-    colossalai.launch(config={}, rank=0, world_size=1, host='localhost', port=free_port(), backend='nccl')
     get_components_func = non_distributed_component_funcs.get_callable('simple_net')
     model_builder, train_dataloader, test_dataloader, optimizer_class, criterion = get_components_func()
     set_seed(1)
@@ -323,7 +322,6 @@ def run_model_dist(rank, world_size, port):
 
 @pytest.mark.dist
 @pytest.mark.parametrize('world_size', [1, 4])
-@pytest.mark.skip("under development")
 @rerun_if_address_is_in_use()
 def test_model(world_size):
     run_func = partial(run_model_dist, world_size=world_size, port=free_port())