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# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for advice generation."""
from __future__ import annotations
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.target.tosa.advice_generation import TOSAAdviceProducer
from mlia.target.tosa.data_analysis import ModelIsNotTOSACompatible
from mlia.target.tosa.data_analysis import ModelIsTOSACompatible
@pytest.mark.parametrize(
"input_data, advice_category, expected_advice",
[
[
ModelIsNotTOSACompatible(),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"Some operators in the model are not TOSA compatible. "
"Please, refer to the operators table for more information."
]
)
],
],
[
ModelIsTOSACompatible(),
{AdviceCategory.COMPATIBILITY},
[Advice(["Model is fully TOSA compatible."])],
],
],
)
def test_tosa_advice_producer(
tmpdir: str,
input_data: DataItem,
advice_category: set[AdviceCategory],
expected_advice: list[Advice],
) -> None:
"""Test TOSA advice producer."""
producer = TOSAAdviceProducer()
context = ExecutionContext(
advice_category=advice_category,
output_dir=tmpdir,
)
producer.set_context(context)
producer.produce_advice(input_data)
assert producer.get_advice() == expected_advice
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