diff --git a/scico/test/test_ray_tune.py b/scico/test/test_ray_tune.py
index 682592934..dde5b1d37 100644
--- a/scico/test/test_ray_tune.py
+++ b/scico/test/test_ray_tune.py
@@ -7,19 +7,18 @@
 
 try:
     import ray
-    from scico.ray import report, tune
+    from scico.ray import train, tune
 
     ray.init(num_cpus=1)
 except ImportError as e:
     pytest.skip("ray.tune not installed", allow_module_level=True)
 
 
-@pytest.mark.filterwarnings("ignore::DeprecationWarning")
 def test_random_run():
-    def eval_params(config, reporter):
+    def eval_params(config):
         x, y = config["x"], config["y"]
         cost = x**2 + (y - 0.5) ** 2
-        reporter(cost=cost)
+        train.report({"cost": cost})
 
     config = {"x": tune.uniform(-1, 1), "y": tune.uniform(-1, 1)}
     resources = {"gpu": 0, "cpu": 1}
@@ -40,12 +39,11 @@ def eval_params(config, reporter):
     assert np.abs(best_config["y"] - 0.5) < 0.25
 
 
-@pytest.mark.filterwarnings("ignore::DeprecationWarning")
 def test_random_tune():
     def eval_params(config):
         x, y = config["x"], config["y"]
         cost = x**2 + (y - 0.5) ** 2
-        report({"cost": cost})
+        train.report({"cost": cost})
 
     config = {"x": tune.uniform(-1, 1), "y": tune.uniform(-1, 1)}
     resources = {"gpu": 0, "cpu": 1}
@@ -66,12 +64,11 @@ def eval_params(config):
     assert np.abs(best_config["y"] - 0.5) < 0.25
 
 
-@pytest.mark.filterwarnings("ignore::DeprecationWarning")
 def test_hyperopt_run():
-    def eval_params(config, reporter):
+    def eval_params(config):
         x, y = config["x"], config["y"]
         cost = x**2 + (y - 0.5) ** 2
-        reporter(cost=cost)
+        train.report({"cost": cost})
 
     config = {"x": tune.uniform(-1, 1), "y": tune.uniform(-1, 1)}
     resources = {"gpu": 0, "cpu": 1}
@@ -90,12 +87,11 @@ def eval_params(config, reporter):
     assert np.abs(best_config["y"] - 0.5) < 0.25
 
 
-@pytest.mark.filterwarnings("ignore::DeprecationWarning")
 def test_hyperopt_tune():
     def eval_params(config):
         x, y = config["x"], config["y"]
         cost = x**2 + (y - 0.5) ** 2
-        report({"cost": cost})
+        train.report({"cost": cost})
 
     config = {"x": tune.uniform(-1, 1), "y": tune.uniform(-1, 1)}
     resources = {"gpu": 0, "cpu": 1}
@@ -115,12 +111,11 @@ def eval_params(config):
     assert np.abs(best_config["y"] - 0.5) < 0.25
 
 
-@pytest.mark.filterwarnings("ignore::DeprecationWarning")
 def test_hyperopt_tune_alt_init():
     def eval_params(config):
         x, y = config["x"], config["y"]
         cost = x**2 + (y - 0.5) ** 2
-        report({"cost": cost})
+        train.report({"cost": cost})
 
     config = {"x": tune.uniform(-1, 1), "y": tune.uniform(-1, 1)}
     tuner = tune.Tuner(