MLIA-433 Add TensorFlow Lite compatibility check

- Add ability to intercept low level TensorFlow output
- Produce advice for the models that could not be
  converted to the TensorFlow Lite format
- Refactor utility functions for TensorFlow Lite
  conversion
- Add TensorFlow Lite compatibility checker

Change-Id: I47d120d2619ced7b143bc92c5184515b81c0220d

1 files changed, 28 insertions, 0 deletions

diff --git a/tests/test_devices_cortexa_data_collection.py b/tests/test_devices_cortexa_data_collection.py
new file mode 100644
index 0000000..7ea3e52
--- /dev/null
+++ b/tests/test_devices_cortexa_data_collection.py
@@ -0,0 +1,28 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Tests for Cortex-A data collection module."""
+from pathlib import Path
+from unittest.mock import MagicMock
+
+import pytest
+
+from mlia.core.context import ExecutionContext
+from mlia.devices.cortexa.data_collection import CortexAOperatorCompatibility
+from mlia.devices.cortexa.operators import CortexACompatibilityInfo
+
+
+def test_cortex_a_data_collection(
+    monkeypatch: pytest.MonkeyPatch, test_tflite_model: Path, tmpdir: str
+) -> None:
+    """Test Cortex-A data collection."""
+    monkeypatch.setattr(
+        "mlia.devices.cortexa.data_collection.get_cortex_a_compatibility_info",
+        MagicMock(return_value=CortexACompatibilityInfo(True, [])),
+    )
+    context = ExecutionContext(working_dir=tmpdir)
+    collector = CortexAOperatorCompatibility(test_tflite_model)
+    collector.set_context(context)
+
+    data_item = collector.collect_data()
+
+    assert isinstance(data_item, CortexACompatibilityInfo)