diff --git a/tests/test_backends.py b/tests/test_backends.py
index 58daeb69..14a283ee 100644
--- a/tests/test_backends.py
+++ b/tests/test_backends.py
@@ -176,6 +176,7 @@ def test_backend_methods(backend):
         np.array([2, 1, 0]),
         atol=1e-5,
     )
+    
 
 
 @pytest.mark.parametrize("backend", [lf("npb"), lf("tfb"), lf("jaxb"), lf("torchb")])
@@ -241,6 +242,16 @@ def test_backend_methods_2(backend):
         np.sinh(0.5 * tc.backend.ones([2])),
         atol=1e-5,
     )
+    np.testing.assert_allclose(
+        tc.backend.sin(0.5*tc.backend.ones([2],dtype="float32")),
+        np.sin(0.5*tc.backend.ones([2])),
+        atol=1e-5,
+    )
+    np.testing.assert_allclose(
+        tc.backend.cos(0.5*tc.backend.ones([2],dtype="float32")),
+        np.cos(0.5*tc.backend.ones([2])),
+        atol=1e-5,
+    )
     np.testing.assert_allclose(
         tc.backend.eigvalsh(tc.backend.ones([2, 2])), np.array([0, 2]), atol=1e-5
     )
@@ -273,6 +284,17 @@ def test_backend_methods_2(backend):
         tc.backend.arange(1, 5, 2),
         np.array([1, 3]),
     )
+    arr = np.random.normal(size=(6, 6))
+    np.testing.assert_allclose(
+        tc.backend.copy(arr),
+        arr,
+        atol=1e-5,
+    )
+    np.testing.assert_allclose(
+        tc.backend.power(arr,6),
+        np.power(arr,6),
+        atol=1e-5
+    )
     assert tc.backend.dtype(tc.backend.ones([])) == "complex64"
     edges = [-1, 3.3, 9.1, 10.0]
     values = tc.backend.convert_to_tensor(np.array([0.0, 4.1, 12.0], dtype=np.float32))
@@ -299,7 +321,7 @@ def test_backend_methods_2(backend):
         np.maximum(arr, 0),
         atol=1e-4,
     )
-
+test_backend_methods_2("pytorch")
 
 @pytest.mark.parametrize("backend", [lf("npb"), lf("tfb"), lf("jaxb"), lf("torchb")])
 def test_device_cpu_only(backend):