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# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for Cortex-A data analysis module."""
from __future__ import annotations
import pytest
from mlia.backend.armnn_tflite_delegate.compat import (
ARMNN_TFLITE_DELEGATE,
)
from mlia.core.common import DataItem
from mlia.core.data_analysis import Fact
from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityInfo
from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityStatus
from mlia.nn.tensorflow.tflite_compat import TFLiteConversionError
from mlia.nn.tensorflow.tflite_compat import TFLiteConversionErrorCode
from mlia.nn.tensorflow.tflite_graph import TFL_ACTIVATION_FUNCTION
from mlia.target.common.reporters import ModelHasCustomOperators
from mlia.target.common.reporters import ModelIsNotTFLiteCompatible
from mlia.target.common.reporters import TFLiteCompatibilityCheckFailed
from mlia.target.cortex_a.config import CortexAConfiguration
from mlia.target.cortex_a.data_analysis import CortexADataAnalyzer
from mlia.target.cortex_a.data_analysis import ModelIsCortexACompatible
from mlia.target.cortex_a.data_analysis import ModelIsNotCortexACompatible
from mlia.target.cortex_a.operators import CortexACompatibilityInfo
from mlia.target.cortex_a.operators import Operator
VERSION = CortexAConfiguration.load_profile("cortex-a").armnn_tflite_delegate_version
BACKEND_INFO = f"{ARMNN_TFLITE_DELEGATE['backend']} {VERSION}"
@pytest.mark.parametrize(
"input_data, expected_facts",
[
[
CortexACompatibilityInfo([], VERSION),
[ModelIsCortexACompatible(BACKEND_INFO)],
],
[
CortexACompatibilityInfo(
[
Operator(
"CONV_2D",
"somewhere",
activation_func=TFL_ACTIVATION_FUNCTION.NONE,
),
Operator(
"CUSTOM",
"somewhere else",
activation_func=TFL_ACTIVATION_FUNCTION.RELU6,
custom_name="MaxPool3D",
),
],
VERSION,
),
[ModelIsCortexACompatible(BACKEND_INFO)],
],
[
# pylint: disable=line-too-long
CortexACompatibilityInfo(
[
Operator(
"UNSUPPORTED_OP",
"somewhere",
activation_func=TFL_ACTIVATION_FUNCTION.NONE,
),
Operator(
"CUSTOM",
"somewhere",
activation_func=TFL_ACTIVATION_FUNCTION.NONE,
custom_name="UNSUPPORTED_OP",
),
Operator(
"CONV_2D",
"somewhere else",
activation_func=TFL_ACTIVATION_FUNCTION.SIGN_BIT,
),
],
VERSION,
),
[
ModelIsNotCortexACompatible(
BACKEND_INFO,
{
"UNSUPPORTED_OP",
"CUSTOM - 'UNSUPPORTED_OP'",
},
{
"CONV_2D": ModelIsNotCortexACompatible.ActivationFunctionSupport(
used_unsupported={TFL_ACTIVATION_FUNCTION.SIGN_BIT.name},
supported={
"RELU",
"RELU6",
"RELU_N1_TO_1",
"SIGMOID",
"TANH",
"NONE",
},
)
},
)
],
# pylint: enable=line-too-long
],
[
TFLiteCompatibilityInfo(status=TFLiteCompatibilityStatus.COMPATIBLE),
[],
],
[
TFLiteCompatibilityInfo(
status=TFLiteCompatibilityStatus.MODEL_WITH_CUSTOM_OP_ERROR
),
[ModelHasCustomOperators()],
],
[
TFLiteCompatibilityInfo(status=TFLiteCompatibilityStatus.UNKNOWN_ERROR),
[TFLiteCompatibilityCheckFailed()],
],
[
TFLiteCompatibilityInfo(
status=TFLiteCompatibilityStatus.TFLITE_CONVERSION_ERROR
),
[ModelIsNotTFLiteCompatible(custom_ops=[], flex_ops=[])],
],
[
TFLiteCompatibilityInfo(
status=TFLiteCompatibilityStatus.TFLITE_CONVERSION_ERROR,
conversion_errors=[
TFLiteConversionError(
"error",
TFLiteConversionErrorCode.NEEDS_CUSTOM_OPS,
"custom_op1",
[],
),
TFLiteConversionError(
"error",
TFLiteConversionErrorCode.NEEDS_FLEX_OPS,
"flex_op1",
[],
),
],
),
[
ModelIsNotTFLiteCompatible(
custom_ops=["custom_op1"],
flex_ops=["flex_op1"],
)
],
],
],
)
def test_cortex_a_data_analyzer(
input_data: DataItem, expected_facts: list[Fact]
) -> None:
"""Test Cortex-A data analyzer."""
analyzer = CortexADataAnalyzer()
analyzer.analyze_data(input_data)
analyzed_data = analyzer.get_analyzed_data()
assert analyzed_data == expected_facts
|
