1 files changed, 52 insertions, 0 deletions
diff --git a/test/test_backend.py b/test/test_backend.py
index 311c075..fd9a761 100644
--- a/test/test_backend.py
+++ b/test/test_backend.py
@@ -275,11 +275,27 @@ def test_empty_backend():
     with pytest.raises(NotImplementedError):
         nx.sqrtm(M)
     with pytest.raises(NotImplementedError):
+        nx.kl_div(M, M)
+    with pytest.raises(NotImplementedError):
         nx.isfinite(M)
     with pytest.raises(NotImplementedError):
         nx.array_equal(M, M)
     with pytest.raises(NotImplementedError):
         nx.is_floating_point(M)
+    with pytest.raises(NotImplementedError):
+        nx.tile(M, (10, 1))
+    with pytest.raises(NotImplementedError):
+        nx.floor(M)
+    with pytest.raises(NotImplementedError):
+        nx.prod(M)
+    with pytest.raises(NotImplementedError):
+        nx.sort2(M)
+    with pytest.raises(NotImplementedError):
+        nx.qr(M)
+    with pytest.raises(NotImplementedError):
+        nx.atan2(v, v)
+    with pytest.raises(NotImplementedError):
+        nx.transpose(M)
 
 
 def test_func_backends(nx):
@@ -592,11 +608,47 @@ def test_func_backends(nx):
         lst_b.append(nx.to_numpy(A))
         lst_name.append("matrix square root")
 
+        A = nx.kl_div(nx.abs(Mb), nx.abs(Mb) + 1)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("Kullback-Leibler divergence")
+
         A = nx.concatenate([vb, nx.from_numpy(np.array([np.inf, np.nan]))], axis=0)
         A = nx.isfinite(A)
         lst_b.append(nx.to_numpy(A))
         lst_name.append("isfinite")
 
+        A = nx.tile(vb, (10, 1))
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("tile")
+
+        A = nx.floor(Mb)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("floor")
+
+        A = nx.prod(Mb)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("prod")
+
+        A, B = nx.sort2(Mb)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("sort2 sort")
+        lst_b.append(nx.to_numpy(B))
+        lst_name.append("sort2 argsort")
+
+        A, B = nx.qr(Mb)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("QR Q")
+        lst_b.append(nx.to_numpy(B))
+        lst_name.append("QR R")
+
+        A = nx.atan2(vb, vb)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("atan2")
+
+        A = nx.transpose(Mb)
+        lst_b.append(nx.to_numpy(A))
+        lst_name.append("transpose")
+
         assert not nx.array_equal(Mb, vb), "array_equal (shape)"
         assert nx.array_equal(Mb, Mb), "array_equal (elements) - expected true"
         assert not nx.array_equal(