diff --git a/tests/core/e2e/test_e2e_commons.py b/tests/core/e2e/test_e2e_commons.py
index ef2b860bf..88fe82b1c 100644
--- a/tests/core/e2e/test_e2e_commons.py
+++ b/tests/core/e2e/test_e2e_commons.py
@@ -111,6 +111,7 @@ def _run_main(
     save_checkpoint_to=None,
     save_predictions_to=None,
     world_size=0,
+    amp=False,
 ):
     config_yaml = Path(rundir) / "train_and_val_on_val.yml"
     update_yaml_with_dict(input_yaml, config_yaml, update_dict_with)
@@ -124,9 +125,18 @@ def _run_main(
 
     # run
     parser = flags.get_parser()
-    args, override_args = parser.parse_known_args(
-        ["--mode", "train", "--seed", "100", "--config-yml", "config.yml", "--cpu"]
-    )
+    command_line_args = [
+        "--mode",
+        "train",
+        "--seed",
+        "100",
+        "--config-yml",
+        "config.yml",
+        "--cpu",
+    ]
+    if amp:
+        command_line_args.append("--amp")
+    args, override_args = parser.parse_known_args(command_line_args)
     for arg_name, arg_value in run_args.items():
         setattr(args, arg_name, arg_value)
     config = build_config(args, override_args)
diff --git a/tests/core/e2e/test_s2ef.py b/tests/core/e2e/test_s2ef.py
index 10e3203c9..12c1b74d7 100644
--- a/tests/core/e2e/test_s2ef.py
+++ b/tests/core/e2e/test_s2ef.py
@@ -32,7 +32,13 @@
 
 class TestSmoke:
     def smoke_test_train(
-        self, input_yaml, tutorial_val_src, world_size, num_workers, otf_norms=False
+        self,
+        input_yaml,
+        tutorial_val_src,
+        world_size,
+        num_workers,
+        otf_norms=False,
+        amp=False,
     ):
         with tempfile.TemporaryDirectory() as tempdirname:
             # first train a very simple model, checkpoint
@@ -60,6 +66,7 @@ def smoke_test_train(
                 save_checkpoint_to=checkpoint_path,
                 save_predictions_to=training_predictions_filename,
                 world_size=world_size,
+                amp=amp,
             )
             assert "train/energy_mae" in acc.Tags()["scalars"]
             assert "val/energy_mae" in acc.Tags()["scalars"]
@@ -197,6 +204,15 @@ def test_train_and_predict(
         configs,
         tutorial_val_src,
     ):
+        # test with amp
+        self.smoke_test_train(
+            input_yaml=configs[model_name],
+            tutorial_val_src=tutorial_val_src,
+            otf_norms=otf_norms,
+            world_size=0,
+            num_workers=1,
+            amp=True,
+        )
         # test without ddp
         self.smoke_test_train(
             input_yaml=configs[model_name],