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# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for the helper classes."""
from __future__ import annotations
from pathlib import Path
from typing import Any
import pytest
from mlia.cli.helpers import CLIActionResolver
from mlia.cli.helpers import copy_profile_file_to_output_dir
from mlia.nn.select import OptimizationSettings
class TestCliActionResolver:
"""Test cli action resolver."""
@staticmethod
@pytest.mark.parametrize(
"args, params, expected_result",
[
[
{},
{"opt_settings": "some_setting"},
[],
],
[
{},
{},
[
"Note: you will need a Keras model for that.",
"For example: mlia optimize /path/to/keras_model "
"--pruning --clustering "
"--pruning-target 0.5 --clustering-target 32",
"For more info: mlia optimize --help",
],
],
[
{"model": "model.h5"},
{},
[
"For example: mlia optimize model.h5 --pruning --clustering "
"--pruning-target 0.5 --clustering-target 32",
"For more info: mlia optimize --help",
],
],
[
{"model": "model.h5"},
{"opt_settings": [OptimizationSettings("pruning", 0.5, None)]},
[
"For more info: mlia optimize --help",
"Optimization command: "
"mlia optimize model.h5 --pruning "
"--pruning-target 0.5",
],
],
[
{"model": "model.h5", "target_profile": "target_profile"},
{"opt_settings": [OptimizationSettings("pruning", 0.5, None)]},
[
"For more info: mlia optimize --help",
"Optimization command: "
"mlia optimize model.h5 --target-profile target_profile "
"--pruning --pruning-target 0.5",
],
],
],
)
def test_apply_optimizations(
args: dict[str, Any],
params: dict[str, Any],
expected_result: list[str],
) -> None:
"""Test action resolving for applying optimizations."""
resolver = CLIActionResolver(args)
assert resolver.apply_optimizations(**params) == expected_result
@staticmethod
def test_operator_compatibility_details() -> None:
"""Test operator compatibility details info."""
resolver = CLIActionResolver({})
assert resolver.operator_compatibility_details() == [
"For more details, run: mlia check --help"
]
@staticmethod
def test_optimization_details() -> None:
"""Test optimization details info."""
resolver = CLIActionResolver({})
assert resolver.optimization_details() == [
"For more info, see: mlia optimize --help"
]
@staticmethod
@pytest.mark.parametrize(
"args, expected_result",
[
[
{},
[],
],
[
{"model": "model.tflite", "target_profile": "target_profile"},
[
"Check the estimated performance by running the "
"following command: ",
"mlia check model.tflite "
"--target-profile target_profile --performance",
],
],
],
)
def test_check_performance(
args: dict[str, Any], expected_result: list[str]
) -> None:
"""Test check performance info."""
resolver = CLIActionResolver(args)
assert resolver.check_performance() == expected_result
@staticmethod
@pytest.mark.parametrize(
"args, expected_result",
[
[
{},
[],
],
[
{"model": "model.tflite", "target_profile": "target_profile"},
[
"Try running the following command to verify that:",
"mlia check model.tflite --target-profile target_profile",
],
],
],
)
def test_check_operator_compatibility(
args: dict[str, Any], expected_result: list[str]
) -> None:
"""Test checking operator compatibility info."""
resolver = CLIActionResolver(args)
assert resolver.check_operator_compatibility() == expected_result
def test_copy_profile_file_to_output_dir(tmp_path: Path) -> None:
"""Test if the profile file is copied into the output directory."""
test_target_profile_name = "ethos-u55-128"
test_file_path = Path(f"{tmp_path}/{test_target_profile_name}.toml")
copy_profile_file_to_output_dir(test_target_profile_name, tmp_path)
assert Path.is_file(test_file_path)
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