Add CoreML tester implementation

ghstack-source-id: 557f6f5
ghstack-comment-id: 3003538299
Pull-Request: #11959

Author: GregoryComer

backends/apple/coreml/test/tester.py

@@ -0,0 +1,62 @@
+git # Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from typing import Any, Callable, List, Optional, Sequence, Tuple, Type
+
+import executorch
+import executorch.backends.test.harness.stages as BaseStages
+
+import torch
+from executorch.backends.apple.coreml.partition import CoreMLPartitioner
+from executorch.backends.test.harness import Tester as TesterBase
+from executorch.backends.test.harness.stages import StageType
+from executorch.exir import EdgeCompileConfig
+from executorch.exir.backend.partitioner import Partitioner
+
+
+class Partition(BaseStages.Partition):
+    def __init__(self, partitioner: Optional[Partitioner] = None):
+        super().__init__(
+            partitioner=partitioner or CoreMLPartitioner,
+        )
+
+
+class ToEdgeTransformAndLower(BaseStages.ToEdgeTransformAndLower):
+    def __init__(
+        self,
+        partitioners: Optional[List[Partitioner]] = None,
+        edge_compile_config: Optional[EdgeCompileConfig] = None,
+    ):
+        super().__init__(
+            default_partitioner_cls=CoreMLPartitioner,
+            partitioners=partitioners,
+            edge_compile_config=edge_compile_config,
+        )
+
+
+class CoreMLTester(TesterBase):
+    def __init__(
+        self,
+        module: torch.nn.Module,
+        example_inputs: Tuple[torch.Tensor],
+        dynamic_shapes: Optional[Tuple[Any]] = None,
+    ):
+        # Specialize for XNNPACK
+        stage_classes = (
+            executorch.backends.test.harness.Tester.default_stage_classes()
+            | {
+                StageType.PARTITION: Partition,
+                StageType.TO_EDGE_TRANSFORM_AND_LOWER: ToEdgeTransformAndLower,
+            }
+        )
+
+        super().__init__(
+            module=module,
+            stage_classes=stage_classes,
+            example_inputs=example_inputs,
+            dynamic_shapes=dynamic_shapes,
+        )
+