diff --git a/colossalai/shardformer/modeling/gpt2.py b/colossalai/shardformer/modeling/gpt2.py
index aec8e84a0..798fca88f 100644
--- a/colossalai/shardformer/modeling/gpt2.py
+++ b/colossalai/shardformer/modeling/gpt2.py
@@ -858,7 +858,6 @@ def get_gpt2_flash_attention_forward(shard_config: Optional[ShardConfig] = None)
 
         sp_mode = shard_config.sequence_parallelism_mode
         sp_group = shard_config.sequence_parallel_process_group
-
         if sp_mode == "ring_attn":
             attn_output = RingAttention.attention(
                 query,
diff --git a/tests/test_shardformer/test_layer/test_ring_attn.py b/tests/test_shardformer/test_layer/test_ring_attn.py
index 61ea0677f..bcb2c1f8a 100644
--- a/tests/test_shardformer/test_layer/test_ring_attn.py
+++ b/tests/test_shardformer/test_layer/test_ring_attn.py
@@ -17,7 +17,7 @@ from colossalai.utils import get_current_device
 @parameterize("nheads", [5])
 @parameterize("d", [128])
 @parameterize("dtype", [torch.bfloat16, torch.float16])
-def check_ring_attn(seq_len, bs, nheads, d, dtype, sp_size, tp_size=1):
+def check_ring_attn(seq_len, bs, nheads, d, dtype, sp_size):
     torch.cuda.manual_seed(2)
     device = get_current_device()
     sp_group = dist.group.WORLD
@@ -165,7 +165,7 @@ def launch_single_ring(rank, world_size, port):
 
 def launch_double_ring(rank, world_size, port):
     colossalai.launch(rank, world_size, "localhost", port)
-    check_ring_attn(sp_size=4, tp_size=2)
+    check_ring_attn(sp_size=world_size)
 
 
 @rerun_if_address_is_in_use()
@@ -175,7 +175,7 @@ def test_ring_attn(world_size):
 
 
 @rerun_if_address_is_in_use()
-@parameterize("world_size", [8])
+@parameterize("world_size", [4])
 def test_double_ring(world_size):
     spawn(launch_double_ring, nprocs=world_size)