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# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for Ethos-U data analysis module."""
from typing import List
import pytest
from mlia.core.common import DataItem
from mlia.core.data_analysis import Fact
from mlia.devices.ethosu.config import EthosUConfiguration
from mlia.devices.ethosu.data_analysis import AllOperatorsSupportedOnNPU
from mlia.devices.ethosu.data_analysis import EthosUDataAnalyzer
from mlia.devices.ethosu.data_analysis import HasCPUOnlyOperators
from mlia.devices.ethosu.data_analysis import HasUnsupportedOnNPUOperators
from mlia.devices.ethosu.data_analysis import OptimizationDiff
from mlia.devices.ethosu.data_analysis import OptimizationResults
from mlia.devices.ethosu.data_analysis import PerfMetricDiff
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 NpuSupported
from mlia.tools.vela_wrapper import Operator
from mlia.tools.vela_wrapper import Operators
def test_perf_metrics_diff() -> None:
"""Test PerfMetricsDiff class."""
diff_same = PerfMetricDiff(1, 1)
assert diff_same.same is True
assert diff_same.improved is False
assert diff_same.degraded is False
assert diff_same.diff == 0
diff_improved = PerfMetricDiff(10, 5)
assert diff_improved.same is False
assert diff_improved.improved is True
assert diff_improved.degraded is False
assert diff_improved.diff == 50.0
diff_degraded = PerfMetricDiff(5, 10)
assert diff_degraded.same is False
assert diff_degraded.improved is False
assert diff_degraded.degraded is True
assert diff_degraded.diff == -100.0
diff_original_zero = PerfMetricDiff(0, 1)
assert diff_original_zero.diff == 0
@pytest.mark.parametrize(
"input_data, expected_facts",
[
[
Operators(
[
Operator(
"CPU operator",
"CPU operator type",
NpuSupported(False, [("CPU only operator", "")]),
)
]
),
[
HasCPUOnlyOperators(["CPU operator type"]),
HasUnsupportedOnNPUOperators(1.0),
],
],
[
Operators(
[
Operator(
"NPU operator",
"NPU operator type",
NpuSupported(True, []),
)
]
),
[
AllOperatorsSupportedOnNPU(),
],
],
[
OptimizationPerformanceMetrics(
PerformanceMetrics(
EthosUConfiguration("ethos-u55-256"),
NPUCycles(1, 2, 3, 4, 5, 6),
# memory metrics are in kilobytes
MemoryUsage(*[i * 1024 for i in range(1, 6)]), # type: ignore
),
[
[
[
OptimizationSettings("pruning", 0.5, None),
],
PerformanceMetrics(
EthosUConfiguration("ethos-u55-256"),
NPUCycles(1, 2, 3, 4, 5, 6),
# memory metrics are in kilobytes
MemoryUsage(
*[i * 1024 for i in range(1, 6)] # type: ignore
),
),
],
],
),
[
OptimizationResults(
[
OptimizationDiff(
opt_type=[
OptimizationSettings("pruning", 0.5, None),
],
opt_diffs={
"sram": PerfMetricDiff(1.0, 1.0),
"dram": PerfMetricDiff(2.0, 2.0),
"on_chip_flash": PerfMetricDiff(4.0, 4.0),
"off_chip_flash": PerfMetricDiff(5.0, 5.0),
"npu_total_cycles": PerfMetricDiff(3, 3),
},
)
]
)
],
],
[
OptimizationPerformanceMetrics(
PerformanceMetrics(
EthosUConfiguration("ethos-u55-256"),
NPUCycles(1, 2, 3, 4, 5, 6),
# memory metrics are in kilobytes
MemoryUsage(*[i * 1024 for i in range(1, 6)]), # type: ignore
),
[],
),
[],
],
],
)
def test_ethos_u_data_analyzer(
input_data: DataItem, expected_facts: List[Fact]
) -> None:
"""Test Ethos-U data analyzer."""
analyzer = EthosUDataAnalyzer()
analyzer.analyze_data(input_data)
assert analyzer.get_analyzed_data() == expected_facts
|
