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# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for the data collection module for Ethos-U."""
from pathlib import Path
from unittest.mock import MagicMock
import pytest
from mlia.core.context import Context
from mlia.core.data_collection import DataCollector
from mlia.core.errors import FunctionalityNotSupportedError
from mlia.devices.ethosu.config import EthosUConfiguration
from mlia.devices.ethosu.data_collection import EthosUOperatorCompatibility
from mlia.devices.ethosu.data_collection import EthosUOptimizationPerformance
from mlia.devices.ethosu.data_collection import EthosUPerformance
from mlia.devices.ethosu.performance import MemoryUsage
from mlia.devices.ethosu.performance import NPUCycles
from mlia.devices.ethosu.performance import OptimizationPerformanceMetrics
from mlia.devices.ethosu.performance import PerformanceMetrics
from mlia.nn.tensorflow.optimizations.select import OptimizationSettings
from mlia.tools.vela_wrapper import Operators
@pytest.mark.parametrize(
"collector, expected_name",
[
(
EthosUOperatorCompatibility,
"ethos_u_operator_compatibility",
),
(
EthosUPerformance,
"ethos_u_performance",
),
(
EthosUOptimizationPerformance,
"ethos_u_model_optimizations",
),
],
)
def test_collectors_metadata(
collector: DataCollector,
expected_name: str,
) -> None:
"""Test collectors metadata."""
assert collector.name() == expected_name
def test_operator_compatibility_collector(
dummy_context: Context, test_tflite_model: Path
) -> None:
"""Test operator compatibility data collector."""
device = EthosUConfiguration("ethos-u55-256")
collector = EthosUOperatorCompatibility(test_tflite_model, device)
collector.set_context(dummy_context)
result = collector.collect_data()
assert isinstance(result, Operators)
def test_performance_collector(
monkeypatch: pytest.MonkeyPatch, dummy_context: Context, test_tflite_model: Path
) -> None:
"""Test performance data collector."""
device = EthosUConfiguration("ethos-u55-256")
mock_performance_estimation(monkeypatch, device)
collector = EthosUPerformance(test_tflite_model, device)
collector.set_context(dummy_context)
result = collector.collect_data()
assert isinstance(result, PerformanceMetrics)
def test_optimization_performance_collector(
monkeypatch: pytest.MonkeyPatch,
dummy_context: Context,
test_keras_model: Path,
test_tflite_model: Path,
) -> None:
"""Test optimization performance data collector."""
device = EthosUConfiguration("ethos-u55-256")
mock_performance_estimation(monkeypatch, device)
collector = EthosUOptimizationPerformance(
test_keras_model,
device,
[
[
{"optimization_type": "pruning", "optimization_target": 0.5},
]
],
)
collector.set_context(dummy_context)
result = collector.collect_data()
assert isinstance(result, OptimizationPerformanceMetrics)
assert isinstance(result.original_perf_metrics, PerformanceMetrics)
assert isinstance(result.optimizations_perf_metrics, list)
assert len(result.optimizations_perf_metrics) == 1
opt, metrics = result.optimizations_perf_metrics[0]
assert opt == [OptimizationSettings("pruning", 0.5, None)]
assert isinstance(metrics, PerformanceMetrics)
collector_no_optimizations = EthosUOptimizationPerformance(
test_keras_model,
device,
[],
)
with pytest.raises(FunctionalityNotSupportedError):
collector_no_optimizations.collect_data()
collector_tflite = EthosUOptimizationPerformance(
test_tflite_model,
device,
[
[
{"optimization_type": "pruning", "optimization_target": 0.5},
]
],
)
collector_tflite.set_context(dummy_context)
with pytest.raises(FunctionalityNotSupportedError):
collector_tflite.collect_data()
with pytest.raises(
Exception, match="Optimization parameters expected to be a list"
):
collector_bad_config = EthosUOptimizationPerformance(
test_keras_model, device, {"optimization_type": "pruning"} # type: ignore
)
collector.set_context(dummy_context)
collector_bad_config.collect_data()
def mock_performance_estimation(
monkeypatch: pytest.MonkeyPatch, device: EthosUConfiguration
) -> None:
"""Mock performance estimation."""
metrics = PerformanceMetrics(
device,
NPUCycles(1, 2, 3, 4, 5, 6),
MemoryUsage(1, 2, 3, 4, 5),
)
monkeypatch.setattr(
"mlia.devices.ethosu.data_collection.EthosUPerformanceEstimator.estimate",
MagicMock(return_value=metrics),
)
|
