Support export program in intermediate numeric discrepancy detector (#12944)

This PR was created by the merge bot to help merge the original PR into
the main branch.
ghstack PR number: #12581 by
@Gasoonjia
^ Please use this as the source of truth for the PR details, comments,
and reviews
ghstack PR base:
https://github.com/pytorch/executorch/tree/gh/gasoonjia/27/base
ghstack PR head:
https://github.com/pytorch/executorch/tree/gh/gasoonjia/27/head
Merge bot PR base:
https://github.com/pytorch/executorch/tree/gh/gasoonjia/26/orig
Merge bot PR head:
https://github.com/pytorch/executorch/tree/gh/gasoonjia/27/orig
@diff-train-skip-merge

---------

Co-authored-by: gasoonjia <gasoonjia@icloud.com>

Author: pytorchbot

devtools/inspector/_inspector.py

@@ -62,6 +62,7 @@
     map_runtime_aot_intermediate_outputs,
     merge_runtime_overlapping_debug_handles,
     ProgramOutput,
+    propagate_back_debug_handle,
     RESERVED_FRAMEWORK_EVENT_NAMES,
     TimeScale,
     verify_debug_data_equivalence,
@@ -1166,7 +1167,18 @@ def _get_aot_intermediate_outputs_and_op_names(
         """
         if self._etrecord._representative_inputs is None:
             return {}, {}
-        export_program = self._etrecord.edge_dialect_program
+
+        export_program = None
+
+        # Will use the exported program to extract intermediate output if and only if exported_program has been provided, and it is the greatest ancestor of the edge_dialect_program
+        if self._etrecord.exported_program and propagate_back_debug_handle(
+            self._etrecord.exported_program,
+            self._etrecord.export_graph_id,
+            self._etrecord.edge_dialect_program,
+        ):
+            export_program = self._etrecord.exported_program
+        else:
+            export_program = self._etrecord.edge_dialect_program
         graph_module = export_program.module()
         aot_debug_handle_to_op_name = get_aot_debug_handle_to_op_name_mapping(
             graph_module

devtools/inspector/tests/inspector_test.py

@@ -25,7 +25,6 @@
 from executorch.devtools import generate_etrecord, parse_etrecord
 from executorch.devtools.debug_format.et_schema import OperatorNode
 from executorch.devtools.etdump.schema_flatcc import ProfileEvent
-from executorch.devtools.etrecord._etrecord import ETRecord
 from executorch.devtools.etrecord.tests.etrecord_test import TestETRecord
 
 from executorch.devtools.inspector import (
@@ -480,7 +479,7 @@ def test_populate_debugging_related_fields_passes_for_consistent_events(self):
                 events=events,
             )
 
-    def test_etrecord_populates_correct_aot_intermediate_outputs(self):
+    def test_etrecord_populates_correct_edge_dialect_aot_intermediate_outputs(self):
         with tempfile.NamedTemporaryFile(suffix=".bin") as tmp_file:
             etrecord_path = tmp_file.name
             mod = model_registry["ConvLinearModel"]()
@@ -513,15 +512,11 @@ def test_etrecord_populates_correct_aot_intermediate_outputs(self):
                     etdump_path=ETDUMP_PATH,
                     etrecord=etrecord_path,
                 )
-                etrecord = ETRecord(
-                    edge_dialect_program=inspector_instance._etrecord.edge_dialect_program,
-                    graph_map=inspector_instance._etrecord.graph_map,
-                    _debug_handle_map=inspector_instance._etrecord._debug_handle_map,
-                    _delegate_map=inspector_instance._etrecord._delegate_map,
-                    _reference_outputs=inspector_instance._etrecord._reference_outputs,
-                    _representative_inputs=aten_model.example_inputs[0],
+
+                inspector_instance._etrecord._representative_inputs = (
+                    aten_model.example_inputs[0]
                 )
-                inspector_instance._etrecord = etrecord
+
                 aot_intermediate_outputs, aot_debug_handle_to_op_names = (
                     inspector_instance._get_aot_intermediate_outputs_and_op_names()
                 )
@@ -534,7 +529,61 @@ def test_etrecord_populates_correct_aot_intermediate_outputs(self):
 
                 self.assertTrue(
                     check_if_debug_handle_to_op_names_match(
-                        "ConvLinearModel", aot_debug_handle_to_op_names
+                        aot_debug_handle_to_op_names,
+                        mod.get_edge_dialect_expected_debug_handle_to_op_names(),
+                    )
+                )
+
+    def test_etrecord_populates_correct_export_program_aot_intermediate_outputs(self):
+        with tempfile.NamedTemporaryFile(suffix=".bin") as tmp_file:
+            etrecord_path = tmp_file.name
+            mod = model_registry["ConvLinearModel"]()
+            input_tensor = mod.get_input()
+            aten_model: ExportedProgram = export(mod, (input_tensor,), strict=True)
+            edge_program_manager: EdgeProgramManager = to_edge(aten_model)
+            edge_program_manager_copy = copy.deepcopy(edge_program_manager)
+            et_program_manager: ExecutorchProgramManager = (
+                edge_program_manager.to_executorch()
+            )
+            # Generate ETRecord with the exported program
+            generate_etrecord(
+                etrecord_path,
+                edge_program_manager_copy,
+                et_program_manager,
+                exported_program=aten_model,
+            )
+            with patch.object(
+                Inspector, "_consume_etrecord", return_value=None
+            ), patch.object(
+                _inspector, "gen_etdump_object", return_value=None
+            ), patch.object(
+                EventBlock, "_gen_from_etdump"
+            ), patch.object(
+                _inspector, "gen_graphs_from_etrecord"
+            ):
+                # Call the constructor of Inspector
+                inspector_instance = Inspector(
+                    etdump_path=ETDUMP_PATH,
+                    etrecord=etrecord_path,
+                )
+
+                inspector_instance._etrecord._representative_inputs = (
+                    aten_model.example_inputs[0]
+                )
+
+                aot_intermediate_outputs, aot_debug_handle_to_op_names = (
+                    inspector_instance._get_aot_intermediate_outputs_and_op_names()
+                )
+                self.assertTrue(
+                    check_if_intermediate_outputs_match(
+                        aot_intermediate_outputs,
+                        mod.get_exported_program_expected_intermediate_outputs(),
+                    )
+                )
+                self.assertTrue(
+                    check_if_debug_handle_to_op_names_match(
+                        aot_debug_handle_to_op_names,
+                        mod.get_exported_program_expected_debug_handle_to_op_names(),
                     )
                 )
 

devtools/inspector/tests/inspector_test_utils.py

@@ -79,7 +79,7 @@ def get_edge_dialect_expected_intermediate_outputs():
         }
 
     @staticmethod
-    def get_expected_debug_handle_to_op_names():
+    def get_edge_dialect_expected_debug_handle_to_op_names():
         """
         Returns the expected debug handle and op names mapping for this model for the given input.
         """
@@ -100,7 +100,7 @@ def get_expected_debug_handle_to_op_names():
     @staticmethod
     def get_exported_program_expected_intermediate_outputs():
         """
-        Returns the expected outputs of the debug handles and intermediate output mapping for edge dialect graph of this model for the given input.
+        Returns the expected outputs of the debug handles and intermediate output mapping for export graph of this model for the given input.
         """
         return {
             (UNSET_DEBUG_HANDLE,): torch.tensor([[5.4000, 13.5200]]),
@@ -117,6 +117,26 @@ def get_exported_program_expected_intermediate_outputs():
             (11,): [torch.tensor([[0.9734]]), torch.tensor([[0.9891]])],
         }
 
+    @staticmethod
+    def get_exported_program_expected_debug_handle_to_op_names():
+        """
+        Returns the expected debug handle and op name mapping for this model for the given input.
+        """
+        return {
+            (UNSET_DEBUG_HANDLE,): ["_assert_tensor_metadata_default", "to"],
+            (1,): ["conv2d"],
+            (2,): ["view"],
+            (3,): ["linear"],
+            (4,): ["add"],
+            (5,): ["sub"],
+            (6,): ["mul"],
+            (7,): ["add_1"],
+            (8,): ["div"],
+            (9,): ["relu"],
+            (10,): ["sigmoid"],
+            (11,): ["split"],
+        }
+
 
 # Global model registry
 model_registry = {
@@ -153,15 +173,13 @@ def check_if_intermediate_outputs_match(
     return True
 
 
-def check_if_debug_handle_to_op_names_match(model_name, actual_debug_handle_to_op_name):
+def check_if_debug_handle_to_op_names_match(
+    actual_debug_handle_to_op_name, expected_debug_handle_to_op_name
+):
     """
     Checks if the actual op names match the expected op names for the specified model.
     Returns True if all match, otherwise returns False.
     """
-    model_instance = model_registry[model_name]
-    expected_debug_handle_to_op_name = (
-        model_instance.get_expected_debug_handle_to_op_names()
-    )
     if len(actual_debug_handle_to_op_name) != len(expected_debug_handle_to_op_name):
         return False
     for debug_handle, expected_op_name in expected_debug_handle_to_op_name.items():