diff --git a/tests/networks/nets/test_restormer.py b/tests/networks/nets/test_restormer.py
index ab08d84390..9b54b7a765 100644
--- a/tests/networks/nets/test_restormer.py
+++ b/tests/networks/nets/test_restormer.py
@@ -88,8 +88,8 @@
 
 class TestMDTATransformerBlock(unittest.TestCase):
 
-    @skipUnless(has_einops, "Requires einops")
     @parameterized.expand(TEST_CASES_TRANSFORMER)
+    @skipUnless(has_einops, "Requires einops")
     def test_shape(self, spatial_dims, dim, heads, ffn_factor, bias, layer_norm_use_bias, flash, shape):
         if flash and not torch.cuda.is_available():
             self.skipTest("Flash attention requires CUDA")
@@ -111,6 +111,7 @@ def test_shape(self, spatial_dims, dim, heads, ffn_factor, bias, layer_norm_use_
 class TestOverlapPatchEmbed(unittest.TestCase):
 
     @parameterized.expand(TEST_CASES_PATCHEMBED)
+    @skipUnless(has_einops, "Requires einops")
     def test_shape(self, spatial_dims, in_channels, embed_dim, input_shape, expected_shape):
         net = OverlapPatchEmbed(spatial_dims=spatial_dims, in_channels=in_channels, embed_dim=embed_dim)
         with eval_mode(net):
@@ -120,8 +121,8 @@ def test_shape(self, spatial_dims, in_channels, embed_dim, input_shape, expected
 
 class TestRestormer(unittest.TestCase):
 
-    @skipUnless(has_einops, "Requires einops")
     @parameterized.expand(TEST_CASES_RESTORMER)
+    @skipUnless(has_einops, "Requires einops")
     def test_shape(self, input_param, input_shape, expected_shape):
         if input_param.get("flash_attention", False) and not torch.cuda.is_available():
             self.skipTest("Flash attention requires CUDA")