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# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for advice generation."""
from __future__ import annotations
import pytest
from mlia.backend.armnn_tflite_delegate.compat import (
ARMNN_TFLITE_DELEGATE,
)
from mlia.core.advice_generation import Advice
from mlia.core.common import AdviceCategory
from mlia.core.common import DataItem
from mlia.core.context import ExecutionContext
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.advice_generation import CortexAAdviceProducer
from mlia.target.cortex_a.config import CortexAConfiguration
from mlia.target.cortex_a.data_analysis import ModelIsCortexACompatible
from mlia.target.cortex_a.data_analysis import ModelIsNotCortexACompatible
VERSION = CortexAConfiguration.load_profile("cortex-a").armnn_tflite_delegate_version
BACKEND_INFO = (
f"{ARMNN_TFLITE_DELEGATE['backend']} " f"{ARMNN_TFLITE_DELEGATE['ops'][VERSION]}"
)
@pytest.mark.parametrize(
"input_data, advice_category, expected_advice",
[
[
ModelIsNotCortexACompatible(BACKEND_INFO, {"UNSUPPORTED_OP"}, {}),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"The following operators are not supported by "
f"{BACKEND_INFO} and will fall back to the TensorFlow "
"Lite runtime:",
" - UNSUPPORTED_OP",
]
),
Advice(
[
"Please, refer to the full table of operators above "
"for more information.",
CortexAAdviceProducer.cortex_a_disclaimer,
]
),
],
],
[
ModelIsNotCortexACompatible(
BACKEND_INFO,
{"UNSUPPORTED_OP"},
{
"CONV_2D": ModelIsNotCortexACompatible.ActivationFunctionSupport(
used_unsupported={TFL_ACTIVATION_FUNCTION.SIGN_BIT.name},
supported={"RELU"},
)
},
),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"The following operators are not supported by "
f"{BACKEND_INFO} and will fall back to the TensorFlow "
"Lite runtime:",
" - UNSUPPORTED_OP",
]
),
Advice(
[
"The fused activation functions of the following "
f"operators are not supported by {BACKEND_INFO}. "
"Please consider using one of the supported activation "
"functions instead:",
" - CONV_2D\n"
" - Used unsupported: {'SIGN_BIT'}\n"
" - Supported: {'RELU'}",
]
),
Advice(
[
"Please, refer to the full table of operators above "
"for more information.",
CortexAAdviceProducer.cortex_a_disclaimer,
]
),
],
],
[
ModelIsCortexACompatible(BACKEND_INFO),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
f"Model is fully compatible with {BACKEND_INFO} for Cortex-A.",
CortexAAdviceProducer.cortex_a_disclaimer,
]
)
],
],
[
ModelIsNotTFLiteCompatible(
flex_ops=["flex_op1", "flex_op2"],
custom_ops=["custom_op1", "custom_op2"],
),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"The following operators are not natively "
"supported by TensorFlow Lite: flex_op1, flex_op2.",
"Using select TensorFlow operators in TensorFlow Lite model "
"requires special initialization of TFLiteConverter and "
"TensorFlow Lite run-time.",
"Please refer to the TensorFlow documentation for "
"more details: "
"https://www.tensorflow.org/lite/guide/ops_select",
"Note, such models are not supported by "
"the ML Inference Advisor.",
]
),
Advice(
[
"The following operators appear to be custom and not natively "
"supported by TensorFlow Lite: custom_op1, custom_op2.",
"Using custom operators in TensorFlow Lite model "
"requires special initialization of TFLiteConverter and "
"TensorFlow Lite run-time.",
"Please refer to the TensorFlow documentation for "
"more details: "
"https://www.tensorflow.org/lite/guide/ops_custom",
"Note, such models are not supported by "
"the ML Inference Advisor.",
]
),
],
],
[
ModelIsNotTFLiteCompatible(),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"Model could not be converted into TensorFlow Lite format.",
"Please refer to the table for more details.",
]
),
],
],
[
ModelHasCustomOperators(),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"Models with custom operators require special initialization "
"and currently are not supported by the ML Inference Advisor.",
]
),
],
],
[
TFLiteCompatibilityCheckFailed(),
{AdviceCategory.COMPATIBILITY},
[
Advice(
[
"Model could not be converted into TensorFlow Lite format.",
"Please refer to the table for more details.",
]
),
],
],
],
)
def test_cortex_a_advice_producer(
tmpdir: str,
input_data: DataItem,
advice_category: set[AdviceCategory],
expected_advice: list[Advice],
) -> None:
"""Test Cortex-A advice producer."""
producer = CortexAAdviceProducer()
context = ExecutionContext(
advice_category=advice_category,
output_dir=tmpdir,
)
producer.set_context(context)
producer.produce_advice(input_data)
assert producer.get_advice() == expected_advice
|
