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28 changes: 21 additions & 7 deletions backends/apple/coreml/compiler/coreml_preprocess.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,12 +2,12 @@

# CoreML backend for delegating a EdgeProgram to CoreML.

import hashlib
import json
import logging

import shutil
import tempfile
import uuid
from dataclasses import asdict, dataclass
from enum import Enum

Expand Down Expand Up @@ -36,6 +36,16 @@
logger.setLevel(get_coreml_log_level(default_level=logging.WARNING))


def _hash_directory(path: Path) -> str:
"""Hash all files in a directory deterministically."""
hasher = hashlib.sha256()
for file_path in sorted(path.rglob("*")):
if file_path.is_file():
hasher.update(str(file_path.relative_to(path)).encode())
hasher.update(file_path.read_bytes())
return hasher.hexdigest()[:32]


class COMPILE_SPEC_KEYS(Enum):
COMPUTE_UNITS = "compute_units"
MODEL_TYPE = "model_type"
Expand Down Expand Up @@ -448,10 +458,18 @@ def save_model_debug_info(model_debug_info: ModelDebugInfo, model_dir_path: Path
def preprocess_model(
mlmodel: ct.models.MLModel, model_type: MODEL_TYPE
) -> PreprocessResult:
identifier = "executorch_" + str(uuid.uuid4())
dir_path: Path = Path(tempfile.gettempdir()) / identifier
dir_path: Path = Path(tempfile.mkdtemp())
model_dir_path: Path = dir_path / "lowered_module"
model_spec: ct.proto.Model_pb2 = mlmodel.get_spec()

# Save model first to compute content hash for deterministic identifier.
model_path = model_dir_path / MODEL_PATHS.MODEL.value
mlmodel.save(str(model_path))

# Generate deterministic identifier from model contents.
content_hash = _hash_directory(model_path)
identifier = "executorch_" + content_hash

logger.warning(
f"The model with identifier {identifier} was exported with CoreML specification version {model_spec.specificationVersion}, and it will not run on all version of iOS/macOS."
" See https://apple.github.io/coremltools/mlmodel/Format/Model.html#model for information on what OS versions are compatible with this specifcation version."
Expand All @@ -462,10 +480,6 @@ def preprocess_model(
model_spec=model_spec,
identifier=identifier,
)

# Save model.
model_path = model_dir_path / MODEL_PATHS.MODEL.value
mlmodel.save(str(model_path))
# Extract delegate mapping file.
model_debug_info: Optional[ModelDebugInfo] = CoreMLBackend.get_model_debug_info(
model_path
Expand Down
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