Add cutout shell and volume node assets for depth volume processing

- Implemented `cutout_shell.py` to build front normals and shell positions for balloon geometry.
- Created `cutout_volume.py` to establish smooth center fields and manage balloon surface attributes.
- Introduced `pisa_sr_export.py` for exporting PiSA-SR components with dependencies and asset finalization.

tests/test_model_onnx_runtime.py

@@ -1,7 +1,7 @@
 import sys
 import unittest
 from pathlib import Path
-from types import ModuleType
+from types import ModuleType, SimpleNamespace
 from unittest.mock import patch
 
 
@@ -31,6 +31,20 @@ class FakeSession:
 
 
 class OnnxRuntimeTest(unittest.TestCase):
+    def test_directml_disables_parallel_execution_and_memory_pattern(self):
+        options = SimpleNamespace(enable_mem_pattern=True, execution_mode="parallel")
+        runtime = ModuleType("onnxruntime")
+        runtime.get_available_providers = lambda: ["DmlExecutionProvider"]
+        runtime.SessionOptions = lambda: options
+        runtime.ExecutionMode = SimpleNamespace(ORT_SEQUENTIAL="sequential")
+        calls = []
+        runtime.InferenceSession = lambda path, **kwargs: calls.append(kwargs)
+        with patch.dict(sys.modules, {"onnxruntime": runtime}):
+            onnx_runtime.create_session("model.onnx", "directml")
+        self.assertFalse(options.enable_mem_pattern)
+        self.assertEqual(options.execution_mode, "sequential")
+        self.assertIs(calls[0]["sess_options"], options)
+
     def create_runtime(self, available):
         calls = []
         runtime = ModuleType("onnxruntime")