MLIA-549 Integrate TOSA checker into MLIA

- Add new module for TOSA
- Add advisor workflow components
- Use TOSA checker for getting operators compatibility
  information

Change-Id: I769e5e2a84e15779658f0895b4a347384def63bf

1 files changed, 56 insertions, 0 deletions

diff --git a/tests/test_devices_tosa_advice_generation.py b/tests/test_devices_tosa_advice_generation.py
new file mode 100644
index 0000000..018ba57
--- /dev/null
+++ b/tests/test_devices_tosa_advice_generation.py
@@ -0,0 +1,56 @@
+# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-License-Identifier: Apache-2.0
+"""Tests for advice generation."""
+from typing import List
+
+import pytest
+
+from mlia.core.advice_generation import Advice
+from mlia.core.common import AdviceCategory
+from mlia.core.common import DataItem
+from mlia.core.context import ExecutionContext
+from mlia.devices.tosa.advice_generation import TOSAAdviceProducer
+from mlia.devices.tosa.data_analysis import ModelIsNotTOSACompatible
+from mlia.devices.tosa.data_analysis import ModelIsTOSACompatible
+
+
+@pytest.mark.parametrize(
+    "input_data, advice_category, expected_advice",
+    [
+        [
+            ModelIsNotTOSACompatible(),
+            AdviceCategory.OPERATORS,
+            [
+                Advice(
+                    [
+                        "Some operators in the model are not TOSA compatible. "
+                        "Please, refer to the operators table for more information."
+                    ]
+                )
+            ],
+        ],
+        [
+            ModelIsTOSACompatible(),
+            AdviceCategory.OPERATORS,
+            [Advice(["Model is fully TOSA compatible."])],
+        ],
+    ],
+)
+def test_tosa_advice_producer(
+    tmpdir: str,
+    input_data: DataItem,
+    advice_category: AdviceCategory,
+    expected_advice: List[Advice],
+) -> None:
+    """Test TOSA advice producer."""
+    producer = TOSAAdviceProducer()
+
+    context = ExecutionContext(
+        advice_category=advice_category,
+        working_dir=tmpdir,
+    )
+
+    producer.set_context(context)
+    producer.produce_advice(input_data)
+
+    assert producer.get_advice() == expected_advice