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Diffstat (limited to 'tests/mlia/test_nn_tensorflow_utils.py')
-rw-r--r-- | tests/mlia/test_nn_tensorflow_utils.py | 81 |
1 files changed, 0 insertions, 81 deletions
diff --git a/tests/mlia/test_nn_tensorflow_utils.py b/tests/mlia/test_nn_tensorflow_utils.py deleted file mode 100644 index 6d27299..0000000 --- a/tests/mlia/test_nn_tensorflow_utils.py +++ /dev/null @@ -1,81 +0,0 @@ -# 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] |