diff --git a/test/run_test.py b/test/run_test.py
index 0c80581c7e51c..a55b7bafaabcf 100644
--- a/test/run_test.py
+++ b/test/run_test.py
@@ -45,7 +45,6 @@
     'cuda',
     'distributed',
     'distributions',
-    'jit',
     'legacy_nn',
     'multiprocessing',
     'nccl',
diff --git a/test/test_jit.py b/test/test_jit.py
index c3221922bc3c9..31714fcd5330c 100644
--- a/test/test_jit.py
+++ b/test/test_jit.py
@@ -555,6 +555,7 @@ def f(x, y):
 
     @unittest.skipIf(IS_WINDOWS, "NYI: fuser support for Windows")
     @unittest.skipIf(not RUN_CUDA, "fuser requires CUDA")
+    @skipIfRocm
     def test_fusion_rand(self):
         class M(torch.jit.ScriptModule):
             __constants__ = ['d']
@@ -777,6 +778,7 @@ def broadcast(a, b):
 
     @unittest.skipIf(IS_WINDOWS, "NYI: fuser support for Windows")
     @unittest.skipIf(not RUN_CUDA_MULTI_GPU, "needs non-zero device")
+    @skipIfRocm
     def test_fuse_last_device(self):
         device = 'cuda:' + str(1)
         x = torch.tensor([0.4], dtype=torch.float, device=device)
@@ -5831,6 +5833,7 @@ def forward(self, x):
 
         self.checkTrace(Policy(), (torch.rand(1, 4),))
 
+    @skipIfRocm
     def test_snli(self):
         # TODO:
         #   1) nn.LSTM is called as a Python function https://github.com/pytorch/pytorch/issues/8449
@@ -6077,6 +6080,7 @@ def test_directory(self):
                            export_type=torch.onnx.ExportTypes.DIRECTORY)
         shutil.rmtree(d)
 
+    @skipIfRocm
     def test_aten_fallback(self):
         class ModelWithAtenNotONNXOp(nn.Module):
             def forward(self, x, y):