ET Schema change to add module hierarchy to node metadata

Summary: To match D49129890, which has been E2E tested. We want the module stack information so that it gets propagated to Event instances eventually and accessed by the user.

Differential Revision: D49334346

Author: Olivia-liu

sdk/edir/et_schema.py

@@ -33,9 +33,9 @@
 # Keywords used in EDIR Metadata
 class RESERVED_METADATA_ARG(Enum):
     DEBUG_HANDLE = "debug_handle"
-    MODULE_STACK = "module_stack"
+    MODULE_STACK = "nn_module_stack"
     SOURCE_FN = "source_fn"
-    MODULE_TYPE = "nn_module_type"
+    MODULE_TYPE = "module_type"
     PROFILE_START_TIME = "profile_start_time"
     PROFILE_END_TIME = "profile_end_time"
     LOAD_START_TIME = "load_start_time"
@@ -719,6 +719,10 @@ def _extract_metadata(
             ret[RESERVED_METADATA_ARG.STACK_TRACE.value] = metadata[
                 RESERVED_METADATA_ARG.STACK_TRACE.value
             ]
+        if RESERVED_METADATA_ARG.MODULE_STACK.value in metadata:
+            ret[RESERVED_METADATA_ARG.MODULE_STACK.value] = metadata[
+                RESERVED_METADATA_ARG.MODULE_STACK.value
+            ]
         return ret
 
     # Not yet implemented

sdk/edir/tests/fixtures/composite_delegate_module_fx_graph_aten_dialect.txt

@@ -1,3 +1,3 @@
 # @generated by //executorch/sdk/edir/tests:generate_fixtures
 
-FXOperatorGraph(graph_name='base', elements=[FXOperatorGraph(graph_name='inputs', elements=[ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], metadata=None), FXOperatorGraph(graph_name='forward', elements=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=None), OperatorNode(name='mul_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='mul.Tensor'), OperatorGraphWithStats(graph_name='executorch_call_delegate', elements=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='executorch_call_delegate')], metadata={'module_type': 'executorch_call_delegate'})], metadata=None), FXOperatorGraph(graph_name='outputs', elements=[ValueNode(name='output_', inputs=[OperatorNode(name='mul_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='mul.Tensor')], output_shapes=None, metadata={}, dtype=None, val=None)], metadata=None)], metadata=None)
+FXOperatorGraph(graph_name='base', elements=[FXOperatorGraph(graph_name='inputs', elements=[ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], metadata=None), FXOperatorGraph(graph_name='forward', elements=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), OperatorNode(name='mul_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='mul.Tensor'), OperatorGraphWithStats(graph_name='executorch_call_delegate', elements=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, op='executorch_call_delegate')], metadata={'module_type': 'executorch_call_delegate'})], metadata=None), FXOperatorGraph(graph_name='outputs', elements=[ValueNode(name='output_', inputs=[OperatorNode(name='mul_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={}, dtype=None, val=())], output_shapes=None, metadata={}, op='mul.Tensor')], output_shapes=None, metadata={}, dtype=None, val=None)], metadata=None)], metadata=None)

sdk/edir/tests/fixtures/composite_delegate_module_fx_graph_edge_dialect.txt

@@ -1,3 +1,3 @@
 # @generated by //executorch/sdk/edir/tests:generate_fixtures
 
-FXOperatorGraph(graph_name='base', elements=[FXOperatorGraph(graph_name='inputs', elements=[ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=()), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 2}, dtype=None, val=())], metadata=None), FXOperatorGraph(graph_name='forward', elements=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3}, dtype=None, val=None), OperatorNode(name='aten_mul_tensor_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 4}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 2}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 6}, op='aten.mul.Tensor'), OperatorGraphWithStats(graph_name='executorch_call_delegate', elements=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 4}, op='executorch_call_delegate')], metadata={'module_type': 'executorch_call_delegate'})], metadata=None), FXOperatorGraph(graph_name='outputs', elements=[ValueNode(name='output_', inputs=[OperatorNode(name='aten_mul_tensor_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 4}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 2}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 6}, op='aten.mul.Tensor')], output_shapes=None, metadata={'debug_handle': 7}, dtype=None, val=None)], metadata=None)], metadata=None)
+FXOperatorGraph(graph_name='base', elements=[FXOperatorGraph(graph_name='inputs', elements=[ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=()), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 2}, dtype=None, val=())], metadata=None), FXOperatorGraph(graph_name='forward', elements=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), OperatorNode(name='aten_mul_tensor_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 4, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 2}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 6}, op='aten.mul.Tensor'), OperatorGraphWithStats(graph_name='executorch_call_delegate', elements=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 4, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, op='executorch_call_delegate')], metadata={'module_type': 'executorch_call_delegate'})], metadata=None), FXOperatorGraph(graph_name='outputs', elements=[ValueNode(name='output_', inputs=[OperatorNode(name='aten_mul_tensor_', inputs=[OperatorNode(name='executorch_call_delegate_', inputs=[ValueNode(name='lowered_module_0_', inputs=None, output_shapes=None, metadata={'debug_handle': 3, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, dtype=None, val=None), ValueNode(name='arg0_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 0}, dtype=None, val=()), ValueNode(name='arg1_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 1}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 4, 'nn_module_stack': {'L__self___lowered_module': ("L['self'].lowered_module", <class 'executorch.exir.lowered_backend_module.LoweredBackendModule'>)}}, op='executorch_call_delegate'), ValueNode(name='arg2_1_', inputs=None, output_shapes=None, metadata={'debug_handle': 2}, dtype=None, val=())], output_shapes=None, metadata={'debug_handle': 6}, op='aten.mul.Tensor')], output_shapes=None, metadata={'debug_handle': 7}, dtype=None, val=None)], metadata=None)], metadata=None)