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Diffstat (limited to 'tests/test_nn_tensorflow_utils.py')
-rw-r--r-- | tests/test_nn_tensorflow_utils.py | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/tests/test_nn_tensorflow_utils.py b/tests/test_nn_tensorflow_utils.py new file mode 100644 index 0000000..6d27299 --- /dev/null +++ b/tests/test_nn_tensorflow_utils.py @@ -0,0 +1,81 @@ +# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-License-Identifier: Apache-2.0 +"""Test for module utils/test_utils.""" +from pathlib import Path + +import pytest +import tensorflow as tf + +from mlia.nn.tensorflow.utils import convert_to_tflite +from mlia.nn.tensorflow.utils import get_tf_tensor_shape +from mlia.nn.tensorflow.utils import is_keras_model +from mlia.nn.tensorflow.utils import is_tflite_model +from mlia.nn.tensorflow.utils import save_keras_model +from mlia.nn.tensorflow.utils import save_tflite_model + + +def test_convert_to_tflite(test_keras_model: Path) -> None: + """Test converting Keras model to TFLite.""" + keras_model = tf.keras.models.load_model(str(test_keras_model)) + tflite_model = convert_to_tflite(keras_model) + + assert tflite_model + + +def test_save_keras_model(tmp_path: Path, test_keras_model: Path) -> None: + """Test saving Keras model.""" + keras_model = tf.keras.models.load_model(str(test_keras_model)) + + temp_file = tmp_path / "test_model_saving.h5" + save_keras_model(keras_model, temp_file) + loaded_model = tf.keras.models.load_model(temp_file) + + assert loaded_model.summary() == keras_model.summary() + + +def test_save_tflite_model(tmp_path: Path, test_keras_model: Path) -> None: + """Test saving TFLite model.""" + keras_model = tf.keras.models.load_model(str(test_keras_model)) + + tflite_model = convert_to_tflite(keras_model) + + temp_file = tmp_path / "test_model_saving.tflite" + save_tflite_model(tflite_model, temp_file) + + interpreter = tf.lite.Interpreter(model_path=str(temp_file)) + assert interpreter + + +@pytest.mark.parametrize( + "model_path, expected_result", + [ + [Path("sample_model.tflite"), True], + [Path("strange_model.tflite.tfl"), False], + [Path("sample_model.h5"), False], + [Path("sample_model"), False], + ], +) +def test_is_tflite_model(model_path: Path, expected_result: bool) -> None: + """Test function is_tflite_model.""" + result = is_tflite_model(model_path) + assert result == expected_result + + +@pytest.mark.parametrize( + "model_path, expected_result", + [ + [Path("sample_model.h5"), True], + [Path("strange_model.h5.keras"), False], + [Path("sample_model.tflite"), False], + [Path("sample_model"), False], + ], +) +def test_is_keras_model(model_path: Path, expected_result: bool) -> None: + """Test function is_keras_model.""" + result = is_keras_model(model_path) + assert result == expected_result + + +def test_get_tf_tensor_shape(test_tf_model: Path) -> None: + """Test get_tf_tensor_shape with test model.""" + assert get_tf_tensor_shape(str(test_tf_model)) == [1, 28, 28, 1] |