diff --git a/tests/test_autochunk/test_autochunk_codegen.py b/tests/test_autochunk/test_autochunk_codegen.py
index 1c5dd939d..8246275eb 100644
--- a/tests/test_autochunk/test_autochunk_codegen.py
+++ b/tests/test_autochunk/test_autochunk_codegen.py
@@ -15,16 +15,19 @@ from tests.test_autochunk.evoformer.evoformer import evoformer_base
 
 
 def _test_fwd(model: torch.nn.Module, gm: ColoGraphModule, node, pair):
-    torch.cuda.reset_peak_memory_stats()
-    now_mem = torch.cuda.memory_allocated() / 1024**2
-    with torch.no_grad():
-        gm(node.clone(), pair.clone())
-    new_now_mem = torch.cuda.memory_allocated() / 1024**2
-    new_max_mem = torch.cuda.max_memory_allocated() / 1024**2
-    print(
-        "autochunk now mem:%.2f max mem:%.2f"
-        % (new_now_mem - now_mem, new_max_mem - now_mem)
-    )
+    # for memory test
+    # torch.cuda.reset_peak_memory_stats()
+    # now_mem = torch.cuda.memory_allocated() / 1024**2
+    # with torch.no_grad():
+    #     node1 = node.clone()
+    #     pair1 = pair.clone()
+    #     gm(node1, pair1)
+    # new_now_mem = torch.cuda.memory_allocated() / 1024**2
+    # new_max_mem = torch.cuda.max_memory_allocated() / 1024**2
+    # print(
+    #     "autochunk now mem:%.2f max mem:%.2f"
+    #     % (new_now_mem - now_mem, new_max_mem - now_mem)
+    # )
 
     # test forward
     with torch.no_grad():
@@ -43,7 +46,7 @@ def _test_fwd(model: torch.nn.Module, gm: ColoGraphModule, node, pair):
     )
 
 
-def _run_offload_codegen(rank):
+def _test_autochunk_codegen(rank):
     # launch colossalai to make sure we could execute colossalai.utils.checkpoint currectly
     colossalai.launch(
         config={},
@@ -56,8 +59,10 @@ def _run_offload_codegen(rank):
 
     # build model and input
     model = evoformer_base().cuda()
-    node = torch.randn(1, 100, 300, 256).cuda()
-    pair = torch.randn(1, 300, 300, 128).cuda()
+    msa_len = 32
+    pair_len = 64
+    node = torch.randn(1, msa_len, pair_len, 256).cuda()
+    pair = torch.randn(1, pair_len, pair_len, 128).cuda()
 
     # trace the module and replace codegen
     graph = ColoTracer().trace(
@@ -85,17 +90,18 @@ def _run_offload_codegen(rank):
     gm = ColoGraphModule(model, graph)
     gm.recompile()
 
-    # assert we have all the components
-    # code = graph.python_code("self").src
+    # assert we have inserted chunk
+    code = graph.python_code("self").src
+    assert "chunk_size" in code
     # print(code)
 
     _test_fwd(model, gm, node, pair)
     gpc.destroy()
 
 
-def test_autochunk():
-    mp.spawn(_run_offload_codegen, nprocs=1)
+def test_autochunk_codegen():
+    mp.spawn(_test_autochunk_codegen, nprocs=1)
 
 
 if __name__ == "__main__":
-    _run_offload_codegen(0)
+    _test_autochunk_codegen(0)