From 5d81f37de09efe10f90512e50252be9c36925fcf Mon Sep 17 00:00:00 2001
From: Benjamin Klimczak <benjamin.klimczak@arm.com>
Date: Mon, 11 Jul 2022 12:33:42 +0100
Subject: MLIA-551 Rework remains of AIET architecture

Re-factoring the code base to further merge the old AIET code into MLIA.

- Remove last traces of the backend type 'tool'
- Controlled systems removed, including SSH protocol, controller,
  RunningCommand, locks etc.
- Build command / build dir and deploy functionality removed from
  Applications and Systems
- Moving working_dir()
- Replace module 'output_parser' with new module 'output_consumer' and
  merge Base64 parsing into it
- Change the output consumption to optionally remove (i.e. actually
  consume) lines
- Use Base64 parsing in GenericInferenceOutputParser, replacing the
  regex-based parsing and remove the now unused regex parsing
- Remove AIET reporting
- Pre-install applications by moving them to src/mlia/resources/backends
- Rename aiet-config.json to backend-config.json
- Move tests from tests/mlia/ to tests/
- Adapt unit tests to code changes
- Dependencies removed: paramiko, filelock, psutil
- Fix bug in corstone.py: The wrong resource directory was used which
  broke the functionality to download backends.
- Use f-string formatting.
- Use logging instead of print.

Change-Id: I768bc3bb6b2eda57d219ad01be4a8e0a74167d76
---
 tests/test_nn_tensorflow_config.py | 72 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 72 insertions(+)
 create mode 100644 tests/test_nn_tensorflow_config.py

(limited to 'tests/test_nn_tensorflow_config.py')

diff --git a/tests/test_nn_tensorflow_config.py b/tests/test_nn_tensorflow_config.py
new file mode 100644
index 0000000..1ac9f97
--- /dev/null
+++ b/tests/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)
-- 
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