[Backend Tester] Add portable test flow (pytorch#13250)

Add a portable tester flow to the backend tester. This is mainly
intended to help validate the test suite and to get baseline numbers to
compare against delegated results.

Author: GregoryComer

backends/test/harness/stages/to_edge_transform_and_lower.py

@@ -14,11 +14,15 @@
 class ToEdgeTransformAndLower(Stage):
     def __init__(
         self,
-        default_partitioner_cls: Type,
+        default_partitioner_cls: Type | None = None,
         partitioners: Optional[List[Partitioner]] = None,
         edge_compile_config: Optional[EdgeCompileConfig] = None,
     ):
-        self.partitioners = partitioners or [default_partitioner_cls()]
+        self.partitioners = (
+            partitioners or [default_partitioner_cls()]
+            if default_partitioner_cls is not None
+            else []
+        )
         self.edge_compile_conf = edge_compile_config or EdgeCompileConfig()
         self.edge_dialect_program = None
 

backends/test/harness/tester.py

@@ -34,12 +34,12 @@ def __init__(
         self,
         module: torch.nn.Module,
         example_inputs: Tuple[torch.Tensor],
-        stage_classes: Dict[StageType, Callable],
+        stage_classes: Dict[StageType, Callable] | None = None,
         dynamic_shapes: Optional[Tuple[Any]] = None,
     ):
         module.eval()
 
-        self.stage_classes = stage_classes
+        self.stage_classes = stage_classes or Tester.default_stage_classes()
         self.original_module = module
         self.example_inputs = example_inputs
         self.dynamic_shapes = dynamic_shapes

backends/test/suite/flow.py

@@ -1,6 +1,6 @@
 import logging
 
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from typing import Callable
 
 from executorch.backends.test.harness import Tester
@@ -26,16 +26,25 @@ class TestFlow:
     tester_factory: Callable[..., Tester]
     """ A factory function that returns a Tester instance for this lowering flow. """
 
-    quantize: bool = field(default=False)
+    quantize: bool = False
     """ Whether to tester should run the quantize stage on the model. """
 
     quantize_stage_factory: Callable[..., Quantize] | None = None
     """ A factory function which instantiates a Quantize stage. Can be None to use the tester's default. """
 
+    is_delegated: bool = True
+    """ Indicates whether the flow is expected to generate CALL_DELEGATE nodes. """
+
 
 def all_flows() -> dict[str, TestFlow]:
     flows = []
 
+    from executorch.backends.test.suite.flows.portable import PORTABLE_TEST_FLOW
+
+    flows += [
+        PORTABLE_TEST_FLOW,
+    ]
+
     try:
         from executorch.backends.test.suite.flows.xnnpack import (
             XNNPACK_STATIC_INT8_PER_CHANNEL_TEST_FLOW,

backends/test/suite/flows/portable.py

@@ -0,0 +1,19 @@
+import logging
+
+from executorch.backends.test.harness import Tester
+from executorch.backends.test.suite.flow import TestFlow
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
+
+
+def _create_portable_flow() -> TestFlow:
+    return TestFlow(
+        "portable",
+        backend="portable",
+        tester_factory=Tester,
+        is_delegated=False,
+    )
+
+
+PORTABLE_TEST_FLOW = _create_portable_flow()

backends/test/suite/runner.py

@@ -125,8 +125,8 @@ def build_result(
         if n.op == "call_function"
     )
 
-    # Only run the runtime portion if something was delegated.
-    if is_delegated:
+    # Only run the runtime portion if something was delegated (or the flow doesn't delegate).
+    if is_delegated or not flow.is_delegated:
         try:
             tester.to_executorch().serialize()
             extra_stats["pte_size_bytes"] = len(tester.get_artifact())