diff --git a/test/test_torch.py b/test/test_torch.py
index ea0d69d7b0e26..dccd13474ad23 100644
--- a/test/test_torch.py
+++ b/test/test_torch.py
@@ -3931,6 +3931,7 @@ def test_is_signed_cuda(self):
         self.assertEqual(torch.cuda.HalfTensor(10).is_signed(), True)
 
     @skipIfNoLapack
+    @skipIfRocm
     def test_gesv(self):
         a = torch.Tensor(((6.80, -2.11, 5.66, 5.97, 8.23),
                           (-6.05, -3.30, 5.36, -4.44, 1.08),
@@ -4061,6 +4062,7 @@ def test_gesv_batched_dims(self):
         self._test_gesv_batched_dims(self, lambda t: t)
 
     @skipIfNoLapack
+    @skipIfRocm
     def test_qr(self):
 
         # Since the QR decomposition is unique only up to the signs of the rows of
@@ -4243,10 +4245,12 @@ def _test_trtrs(self, cast):
         self.assertEqual(res1, tb, 0)
 
     @skipIfNoLapack
+    @skipIfRocm
     def test_trtrs(self):
         self._test_trtrs(self, lambda t: t)
 
     @skipIfNoLapack
+    @skipIfRocm
     def test_gels(self):
         def _test_underdetermined(a, b, expectedNorm):
             m = a.size()[0]
@@ -4362,6 +4366,7 @@ def check_norm(a, b, expected_norm, gels_result):
         self.assertEqual((torch.mm(a, tb) - b).norm(), expectedNorm, 1e-8)
 
     @skipIfNoLapack
+    @skipIfRocm
     def test_eig(self):
         a = torch.Tensor(((1.96, 0.00, 0.00, 0.00, 0.00),
                           (-6.49, 3.80, 0.00, 0.00, 0.00),