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# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for config module."""
from contextlib import ExitStack as does_not_raise
from pathlib import Path
from typing import Any
import pytest
from mlia.nn.tensorflow.config import get_model
from mlia.nn.tensorflow.config import KerasModel
from mlia.nn.tensorflow.config import TFLiteModel
from mlia.nn.tensorflow.config import TfModel
def test_convert_keras_to_tflite(tmp_path: Path, test_keras_model: Path) -> None:
"""Test Keras to TFLite conversion."""
keras_model = KerasModel(test_keras_model)
tflite_model_path = tmp_path / "test.tflite"
keras_model.convert_to_tflite(tflite_model_path)
assert tflite_model_path.is_file()
assert tflite_model_path.stat().st_size > 0
def test_convert_tf_to_tflite(tmp_path: Path, test_tf_model: Path) -> None:
"""Test TensorFlow saved model to TFLite conversion."""
tf_model = TfModel(test_tf_model)
tflite_model_path = tmp_path / "test.tflite"
tf_model.convert_to_tflite(tflite_model_path)
assert tflite_model_path.is_file()
assert tflite_model_path.stat().st_size > 0
@pytest.mark.parametrize(
"model_path, expected_type, expected_error",
[
("test.tflite", TFLiteModel, does_not_raise()),
("test.h5", KerasModel, does_not_raise()),
("test.hdf5", KerasModel, does_not_raise()),
(
"test.model",
None,
pytest.raises(
Exception,
match="The input model format is not supported"
r"\(supported formats: TFLite, Keras, TensorFlow saved model\)!",
),
),
],
)
def test_get_model_file(
model_path: str, expected_type: type, expected_error: Any
) -> None:
"""Test TFLite model type."""
with expected_error:
model = get_model(model_path)
assert isinstance(model, expected_type)
@pytest.mark.parametrize(
"model_path, expected_type", [("tf_model_test_model", TfModel)]
)
def test_get_model_dir(
test_models_path: Path, model_path: str, expected_type: type
) -> None:
"""Test TFLite model type."""
model = get_model(str(test_models_path / model_path))
assert isinstance(model, expected_type)
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