diff --git a/tests/test_tensor/test_model.py b/tests/test_tensor/test_model.py
index becd08501..ba30549bc 100644
--- a/tests/test_tensor/test_model.py
+++ b/tests/test_tensor/test_model.py
@@ -15,7 +15,7 @@ from colossalai.context import ParallelMode
 from colossalai.core import global_context as gpc
 from colossalai.nn.optimizer import ColoOptimizer
 from functools import partial
-from _utils import set_seed
+from _utils import tensor_equal, tensor_shard_equal, set_seed
 
 
 def init_1d_row_linear(weight):
@@ -144,20 +144,8 @@ def run_1d_hybrid_tp(model_name):
 
             with torch.no_grad():
                 # check param
-                for p1, p2 in zip(model.parameters(), model_torch.parameters()):
-                    if p1.size() == p2.size():
-                        assert torch.allclose(p1, p2)
-                    else:
-                        # TODO(jzy) Only check 1D spec. Need to be replaced by new DistSpec.
-                        if p1.size(-1) < p2.size(-1):    # col
-                            world_size = p2.size(-1) // p1.size(-1)
-                            split_p2 = torch.chunk(p2, world_size, dim=-1)[0]
-
-                        elif p1.size(0) < p2.size(0):    # row
-                            world_size = p2.size(0) // p1.size(0)
-                            split_p2 = torch.chunk(p2, world_size, dim=0)[0]
-
-                        assert torch.allclose(p1, split_p2)
+                for p, torch_p in zip(model.parameters(), model_torch.parameters()):
+                    assert tensor_shard_equal(torch_p, p)
 
         if i > 5:
             break