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Make extract_coreml_models.py buck-runnable #18371

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Make extract_coreml_models.py buck-runnable #18371

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13 changes: 13 additions & 0 deletions examples/apple/coreml/scripts/BUCK
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,19 @@ load("@fbcode_macros//build_defs:build_file_migration.bzl", "fbcode_target", "no
# targets.bzl. This file can contain fbcode-only targets.
load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")

fbcode_target(_kind = python_binary,
name = "extract_coreml_models",
srcs = [
"extract_coreml_models.py",
],
main_function = "executorch.examples.apple.coreml.scripts.extract_coreml_models.main",
deps = [
"//executorch/backends/apple/coreml:executorchcoreml",
"//executorch/exir:schema",
"//executorch/exir/_serialize:lib",
],
)

fbcode_target(_kind = python_binary,
name = "export",
srcs = [
Expand Down
11 changes: 8 additions & 3 deletions examples/apple/coreml/scripts/extract_coreml_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,14 +12,15 @@
from typing import Dict, List, Optional

from executorch.backends.apple.coreml import executorchcoreml
from executorch.backends.apple.coreml.compiler import CoreMLBackend
from executorch.exir._serialize._program import deserialize_pte_binary
from executorch.exir.schema import (
BackendDelegate,
BackendDelegateDataReference,
DataLocation,
)

COREML_BACKEND_ID = "CoreMLBackend"


def extract_coreml_models(pte_data: bytes):
pte_file = deserialize_pte_binary(pte_data)
Expand All @@ -39,7 +40,7 @@ def extract_coreml_models(pte_data: bytes):
[execution_plan.delegates for execution_plan in program.execution_plan], []
)
coreml_delegates: List[BackendDelegate] = [
delegate for delegate in delegates if delegate.id == CoreMLBackend.__name__
delegate for delegate in delegates if delegate.id == COREML_BACKEND_ID
]

# Track extracted models to avoid duplicates (multifunction models share partitions)
Expand Down Expand Up @@ -109,7 +110,7 @@ def extract_coreml_models(pte_data: bytes):
print("The model isn't delegated to Core ML.")


if __name__ == "__main__":
def main() -> None:
"""
Extracts the Core ML models embedded in the ``.pte`` file and saves them to the
file system.
Expand All @@ -127,3 +128,7 @@ def extract_coreml_models(pte_data: bytes):
with open(model_path, mode="rb") as pte_file:
pte_data = pte_file.read()
extract_coreml_models(pte_data)


if __name__ == "__main__":
main()
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