diff --git a/python/test/unit/language/test_core.py b/python/test/unit/language/test_core.py
index 9c1fd7bc8..b2c4a0516 100644
--- a/python/test/unit/language/test_core.py
+++ b/python/test/unit/language/test_core.py
@@ -1039,13 +1039,18 @@ def test_permute(dtype_str, shape, perm, device='cuda'):
     # compare
     triton.testing.assert_almost_equal(z_tri, z_ref)
     triton.testing.assert_almost_equal(z_tri_contiguous, z_ref)
-    # parse ptx to make sure ld/st are vectorized
-    ptx = pgm.asm['ptx']
-    assert 'ld.global.v4' in ptx
-    assert 'st.global.v4' in ptx
-    ptx = pgm_contiguous.asm['ptx']
-    assert 'ld.global.v4' in ptx
-    assert 'st.global.v4' in ptx
+
+    if torch.version.hip is None:
+        # parse ptx to make sure ld/st are vectorized
+        ptx = pgm.asm['ptx']
+        assert 'ld.global.v4' in ptx
+        assert 'st.global.v4' in ptx
+        ptx = pgm_contiguous.asm['ptx']
+        assert 'ld.global.v4' in ptx
+        assert 'st.global.v4' in ptx
+    else:
+        # TODO add rocm gcn assert
+        pass
 
 # ---------------
 # test dot
@@ -1306,16 +1311,20 @@ def test_load_cache_modifier(cache):
         tl.store(dst + offsets, x)
 
     pgm = _kernel[(1,)](dst, src, CACHE=cache)
-    ptx = pgm.asm['ptx']
-    if cache == '':
-        assert 'ld.global.ca' not in ptx
-        assert 'ld.global.cg' not in ptx
-    if cache == '.cg':
-        assert 'ld.global.cg' in ptx
-        assert 'ld.global.ca' not in ptx
-    if cache == '.ca':
-        assert 'ld.global.ca' in ptx
-        assert 'ld.global.cg' not in ptx
+    if torch.version.hip is None:
+        ptx = pgm.asm['ptx']
+        if cache == '':
+            assert 'ld.global.ca' not in ptx
+            assert 'ld.global.cg' not in ptx
+        if cache == '.cg':
+            assert 'ld.global.cg' in ptx
+            assert 'ld.global.ca' not in ptx
+        if cache == '.ca':
+            assert 'ld.global.ca' in ptx
+            assert 'ld.global.cg' not in ptx
+    else:
+        # TODO add rocm gcn assert
+        pass
 
 
 @pytest.mark.parametrize("N", [16, 10, 11, 1024])