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-rw-r--r--src/mlia/nn/rewrite/core/utils/utils.py22
1 files changed, 14 insertions, 8 deletions
diff --git a/src/mlia/nn/rewrite/core/utils/utils.py b/src/mlia/nn/rewrite/core/utils/utils.py
index d1ed322..ddf0cc2 100644
--- a/src/mlia/nn/rewrite/core/utils/utils.py
+++ b/src/mlia/nn/rewrite/core/utils/utils.py
@@ -1,22 +1,28 @@
# SPDX-FileCopyrightText: Copyright 2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
-import os
+"""Model and file system utilites."""
+from __future__ import annotations
+
+from pathlib import Path
import flatbuffers
-from tensorflow.lite.python import schema_py_generated as schema_fb
+from tensorflow.lite.python.schema_py_generated import Model
+from tensorflow.lite.python.schema_py_generated import ModelT
-def load(input_tflite_file):
- if not os.path.exists(input_tflite_file):
- raise FileNotFoundError("TFLite file not found at %r\n" % input_tflite_file)
+def load(input_tflite_file: str | Path) -> ModelT:
+ """Load a flatbuffer model from file."""
+ if not Path(input_tflite_file).exists():
+ raise FileNotFoundError(f"TFLite file not found at {input_tflite_file}\n")
with open(input_tflite_file, "rb") as file_handle:
file_data = bytearray(file_handle.read())
- model_obj = schema_fb.Model.GetRootAsModel(file_data, 0)
- model = schema_fb.ModelT.InitFromObj(model_obj)
+ model_obj = Model.GetRootAsModel(file_data, 0)
+ model = ModelT.InitFromObj(model_obj)
return model
-def save(model, output_tflite_file):
+def save(model: ModelT, output_tflite_file: str | Path) -> None:
+ """Save a flatbuffer model to a given file."""
builder = flatbuffers.Builder(1024) # Initial size of the buffer, which
# will grow automatically if needed
model_offset = model.Pack(builder)