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# SPDX-FileCopyrightText: Copyright 2022-2024, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for TOSA advisor."""
from pathlib import Path
from unittest.mock import MagicMock
import pytest
from mlia.core.common import AdviceCategory
from mlia.core.context import ExecutionContext
from mlia.core.workflow import DefaultWorkflowExecutor
from mlia.target.tosa.advisor import configure_and_get_tosa_advisor
from mlia.target.tosa.advisor import TOSAInferenceAdvisor
def test_configure_and_get_tosa_advisor(
monkeypatch: pytest.MonkeyPatch, test_tflite_model: Path
) -> None:
"""Test TOSA advisor configuration."""
ctx = ExecutionContext()
get_events_mock = MagicMock()
monkeypatch.setattr(
"mlia.target.tosa.advisor.TOSAInferenceAdvisor.get_events",
MagicMock(return_value=get_events_mock),
)
advisor = configure_and_get_tosa_advisor(ctx, "tosa", test_tflite_model)
workflow = advisor.configure(ctx)
assert isinstance(advisor, TOSAInferenceAdvisor)
assert advisor.get_events(ctx) == get_events_mock
assert ctx.event_handlers is not None
assert ctx.config_parameters == {
"common_optimizations": {
"optimizations": [
[
{
"layers_to_optimize": None,
"optimization_target": 0.5,
"optimization_type": "pruning",
},
{
"layers_to_optimize": None,
"optimization_target": 32,
"optimization_type": "clustering",
},
]
],
"training_parameters": None,
},
"tosa_inference_advisor": {
"model": str(test_tflite_model),
"target_profile": "tosa",
},
}
assert isinstance(workflow, DefaultWorkflowExecutor)
@pytest.mark.parametrize(
"category, expected_error",
[
[
AdviceCategory.PERFORMANCE,
"Performance estimation is currently not supported for TOSA.",
],
],
)
def test_unsupported_advice_categories(
tmp_path: Path,
category: AdviceCategory,
expected_error: str,
test_tflite_model: Path,
) -> None:
"""Test that advisor should throw an exception for unsupported categories."""
with pytest.raises(Exception, match=expected_error):
ctx = ExecutionContext(output_dir=tmp_path, advice_category={category})
advisor = configure_and_get_tosa_advisor(ctx, "tosa", test_tflite_model)
advisor.configure(ctx)
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