1 files changed, 72 insertions, 0 deletions
diff --git a/tests/mlia/test_nn_tensorflow_config.py b/tests/mlia/test_nn_tensorflow_config.py
new file mode 100644
index 0000000..1ac9f97
--- /dev/null
+++ b/tests/mlia/test_nn_tensorflow_config.py
@@ -0,0 +1,72 @@
+# 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)