Update test parameters for model size precision in test_model_summary.py

Author: bhimrazy

tests/tests_pytorch/utilities/test_model_summary.py

@@ -319,13 +319,16 @@ def test_empty_model_size(max_depth):
 
 
 @pytest.mark.parametrize(
-    "accelerator",
+    ("accelerator", "precision"),
     [
-        pytest.param("gpu", marks=RunIf(min_cuda_gpus=1)),
-        pytest.param("mps", marks=RunIf(mps=True)),
+        pytest.param("gpu", "16-true", marks=RunIf(min_cuda_gpus=1)),
+        pytest.param("gpu", "32-true", marks=RunIf(min_cuda_gpus=1)),
+        pytest.param("gpu", "64-true", marks=RunIf(min_cuda_gpus=1)),
+        pytest.param("mps", "16-true", marks=RunIf(mps=True)),
+        pytest.param("mps", "32-true", marks=RunIf(mps=True)),
+        # Note: "64-true" with "mps" is skipped because MPS does not support float64
     ],
 )
-@pytest.mark.parametrize("precision", ["16-true", "32-true", "64-true"])
 def test_model_size_precision(tmp_path, accelerator, precision):
     """Test model size for different precision types."""
     model = PreCalculatedModel(precision=int(precision.split("-")[0]))