diff --git a/dpnp/tests/test_mathematical.py b/dpnp/tests/test_mathematical.py
index 760c1a0ceb2..e1f32bbd793 100644
--- a/dpnp/tests/test_mathematical.py
+++ b/dpnp/tests/test_mathematical.py
@@ -1733,6 +1733,7 @@ def test_nan_infs_complex(self):
 
 
 class TestSpacing:
+    @pytest.mark.filterwarnings("ignore::RuntimeWarning")
     @pytest.mark.parametrize("sign", [1, -1])
     @pytest.mark.parametrize("dt", get_float_dtypes())
     def test_basic(self, sign, dt):
diff --git a/dpnp/tests/test_special.py b/dpnp/tests/test_special.py
index 44b2d38e691..1ebb64d8da7 100644
--- a/dpnp/tests/test_special.py
+++ b/dpnp/tests/test_special.py
@@ -94,6 +94,9 @@ def _check_variant_func(
             # calling numpy testing func, because it's more verbose
             assert_allclose(x.asnumpy(), y.asnumpy(), rtol=rtol, atol=atol)
 
+    @pytest.mark.usefixtures(
+        "suppress_overflow_encountered_in_cast_numpy_warnings"
+    )
     def test_erfc(self, inverse):
         self._check_variant_func(
             inverse,
diff --git a/dpnp/tests/test_sycl_queue.py b/dpnp/tests/test_sycl_queue.py
index d1853579036..699cd81c96f 100644
--- a/dpnp/tests/test_sycl_queue.py
+++ b/dpnp/tests/test_sycl_queue.py
@@ -1086,7 +1086,7 @@ def test_array_creation_from_dpctl(copy, device):
 @pytest.mark.parametrize("arr_dtype", get_all_dtypes(no_float16=True))
 @pytest.mark.parametrize("shape", [tuple(), (2,), (3, 0, 1), (2, 2, 2)])
 def test_from_dlpack(arr_dtype, shape, device):
-    X = dpnp.empty(shape=shape, dtype=arr_dtype, device=device)
+    X = dpnp.ones(shape=shape, dtype=arr_dtype, device=device)
     Y = dpnp.from_dlpack(X)
     assert_array_equal(X, Y)
     assert X.__dlpack_device__() == Y.__dlpack_device__()
@@ -1101,7 +1101,7 @@ def test_from_dlpack(arr_dtype, shape, device):
 @pytest.mark.parametrize("device", valid_dev, ids=dev_ids)
 @pytest.mark.parametrize("arr_dtype", get_all_dtypes(no_float16=True))
 def test_from_dlpack_with_dpt(arr_dtype, device):
-    X = dpctl.tensor.empty((64,), dtype=arr_dtype, device=device)
+    X = dpt.ones((64,), dtype=arr_dtype, device=device)
     Y = dpnp.from_dlpack(X)
     assert_array_equal(X, Y)
     assert isinstance(Y, dpnp.dpnp_array.dpnp_array)