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# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for module options."""
from __future__ import annotations
import argparse
from contextlib import ExitStack as does_not_raise
from typing import Any
import pytest
from mlia.cli.options import get_output_format
from mlia.cli.options import get_target_profile_opts
from mlia.cli.options import parse_optimization_parameters
from mlia.core.typing import OutputFormat
@pytest.mark.parametrize(
"pruning, clustering, pruning_target, clustering_target, expected_error,"
"expected_result",
[
[
False,
False,
None,
None,
does_not_raise(),
[
{
"optimization_type": "pruning",
"optimization_target": 0.5,
"layers_to_optimize": None,
}
],
],
[
True,
False,
None,
None,
does_not_raise(),
[
{
"optimization_type": "pruning",
"optimization_target": 0.5,
"layers_to_optimize": None,
}
],
],
[
False,
True,
None,
None,
does_not_raise(),
[
{
"optimization_type": "clustering",
"optimization_target": 32,
"layers_to_optimize": None,
}
],
],
[
True,
True,
None,
None,
does_not_raise(),
[
{
"optimization_type": "pruning",
"optimization_target": 0.5,
"layers_to_optimize": None,
},
{
"optimization_type": "clustering",
"optimization_target": 32,
"layers_to_optimize": None,
},
],
],
[
False,
False,
0.4,
None,
does_not_raise(),
[
{
"optimization_type": "pruning",
"optimization_target": 0.4,
"layers_to_optimize": None,
}
],
],
[
False,
False,
None,
32,
pytest.raises(
argparse.ArgumentError,
match="To enable clustering optimization you need to include "
"the `--clustering` flag in your command.",
),
None,
],
[
False,
True,
None,
32.2,
does_not_raise(),
[
{
"optimization_type": "clustering",
"optimization_target": 32.2,
"layers_to_optimize": None,
}
],
],
],
)
def test_parse_optimization_parameters(
pruning: bool,
clustering: bool,
pruning_target: float | None,
clustering_target: int | None,
expected_error: Any,
expected_result: Any,
) -> None:
"""Test function parse_optimization_parameters."""
with expected_error:
result = parse_optimization_parameters(
pruning, clustering, pruning_target, clustering_target
)
assert result == expected_result
@pytest.mark.parametrize(
"args, expected_opts",
[
[
{},
[],
],
[
{"target_profile": "profile"},
["--target-profile", "profile"],
],
[
# for the default profile empty list should be returned
{"target": "ethos-u55-256"},
[],
],
],
)
def test_get_target_opts(args: dict | None, expected_opts: list[str]) -> None:
"""Test getting target options."""
assert get_target_profile_opts(args) == expected_opts
@pytest.mark.parametrize(
"args, expected_output_format",
[
[
{},
"plain_text",
],
[
{"json": True},
"json",
],
[
{"json": False},
"plain_text",
],
],
)
def test_get_output_format(args: dict, expected_output_format: OutputFormat) -> None:
"""Test get_output_format function."""
arguments = argparse.Namespace(**args)
output_format = get_output_format(arguments)
assert output_format == expected_output_format
|
