1 files changed, 55 insertions, 0 deletions
diff --git a/tests/test_nn_rewrite_core_rewrite.py b/tests/test_nn_rewrite_core_rewrite.py
new file mode 100644
index 0000000..b98971e
--- /dev/null
+++ b/tests/test_nn_rewrite_core_rewrite.py
@@ -0,0 +1,55 @@
+# SPDX-FileCopyrightText: Copyright 2023, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Tests for module mlia.nn.rewrite.core.rewrite."""
+from __future__ import annotations
+
+from contextlib import ExitStack as does_not_raise
+from pathlib import Path
+from typing import Any
+
+import pytest
+
+from mlia.nn.rewrite.core.rewrite import RewriteConfiguration
+from mlia.nn.rewrite.core.rewrite import Rewriter
+from mlia.nn.tensorflow.config import TFLiteModel
+
+
+@pytest.mark.parametrize(
+    "rewrite_name, expected_error",
+    [
+        ("fully_connected", does_not_raise()),
+        ("random", does_not_raise()),
+    ],
+)
+def test_rewrite_configuration(
+    test_tflite_model_fp32: Path, rewrite_name: str, expected_error: Any
+) -> None:
+    """Test get_rewrite function only supports rewrite type fully_connected."""
+    with expected_error:
+        config_obj = RewriteConfiguration(
+            rewrite_name,
+            ["sample_node_start", "sample_node_end"],
+            None,
+        )
+
+        rewriter_obj = Rewriter(test_tflite_model_fp32, config_obj)
+        assert rewriter_obj.optimizer_configuration.optimization_target == rewrite_name
+        assert isinstance(rewriter_obj, Rewriter)
+
+
+def test_rewriter(
+    test_tflite_model_fp32: Path,
+    test_tfrecord_fp32: Path,
+) -> None:
+    """Test fc_layer rewrite process with rewrite type fully_connected."""
+    config_obj = RewriteConfiguration(
+        "fully_connected",
+        ["sequential/flatten/Reshape", "StatefulPartitionedCall:0"],
+        test_tfrecord_fp32,
+    )
+
+    test_obj = Rewriter(test_tflite_model_fp32, config_obj)
+    test_obj.apply_optimization()
+    trained_model = test_obj.get_model()
+
+    assert isinstance(trained_model, TFLiteModel)