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# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for the helper classes."""
from typing import Any
from typing import Dict
from typing import List
import pytest
from mlia.cli.helpers import CLIActionResolver
from mlia.nn.tensorflow.optimizations.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 optimization --optimization-type "
"pruning,clustering --optimization-target 0.5,32 "
"/path/to/keras_model",
"For more info: mlia optimization --help",
],
],
[
{"model": "model.h5"},
{},
[
"For example: mlia optimization --optimization-type "
"pruning,clustering --optimization-target 0.5,32 model.h5",
"For more info: mlia optimization --help",
],
],
[
{"model": "model.h5"},
{"opt_settings": [OptimizationSettings("pruning", 0.5, None)]},
[
"For more info: mlia optimization --help",
"Optimization command: "
"mlia optimization --optimization-type pruning "
"--optimization-target 0.5 model.h5",
],
],
[
{"model": "model.h5", "target_profile": "target_profile"},
{"opt_settings": [OptimizationSettings("pruning", 0.5, None)]},
[
"For more info: mlia optimization --help",
"Optimization command: "
"mlia optimization --optimization-type pruning "
"--optimization-target 0.5 "
"--target-profile target_profile model.h5",
],
],
],
)
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_supported_operators_info() -> None:
"""Test supported operators info."""
resolver = CLIActionResolver({})
assert resolver.supported_operators_info() == [
"For guidance on supported operators, run: mlia operators "
"--supported-ops-report",
]
@staticmethod
def test_operator_compatibility_details() -> None:
"""Test operator compatibility details info."""
resolver = CLIActionResolver({})
assert resolver.operator_compatibility_details() == [
"For more details, run: mlia operators --help"
]
@staticmethod
def test_optimization_details() -> None:
"""Test optimization details info."""
resolver = CLIActionResolver({})
assert resolver.optimization_details() == [
"For more info, see: mlia optimization --help"
]
@staticmethod
@pytest.mark.parametrize(
"args, expected_result",
[
[
{},
[],
],
[
{"model": "model.tflite"},
[
"Check the estimated performance by running the "
"following command: ",
"mlia performance model.tflite",
],
],
[
{"model": "model.tflite", "target_profile": "target_profile"},
[
"Check the estimated performance by running the "
"following command: ",
"mlia performance --target-profile target_profile model.tflite",
],
],
],
)
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"},
[
"Try running the following command to verify that:",
"mlia operators model.tflite",
],
],
[
{"model": "model.tflite", "target_profile": "target_profile"},
[
"Try running the following command to verify that:",
"mlia operators --target-profile target_profile model.tflite",
],
],
],
)
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
|
