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# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Data collection module for Cortex-A."""
from __future__ import annotations
import logging
from pathlib import Path
from mlia.core.data_collection import ContextAwareDataCollector
from mlia.nn.tensorflow.config import get_tflite_model
from mlia.nn.tensorflow.tflite_compat import TFLiteChecker
from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityInfo
from mlia.nn.tensorflow.utils import is_tflite_model
from mlia.target.cortex_a.operators import CortexACompatibilityInfo
from mlia.target.cortex_a.operators import get_cortex_a_compatibility_info
from mlia.utils.logging import log_action
logger = logging.getLogger(__name__)
class CortexAOperatorCompatibility(ContextAwareDataCollector):
"""Collect operator compatibility information."""
def __init__(self, model: Path) -> None:
"""Init operator compatibility data collector."""
self.model = model
def collect_data(self) -> TFLiteCompatibilityInfo | CortexACompatibilityInfo | None:
"""Collect operator compatibility information."""
if not is_tflite_model(self.model):
with log_action("Checking TensorFlow Lite compatibility ..."):
tflite_checker = TFLiteChecker()
tflite_compat = tflite_checker.check_compatibility(self.model)
if not tflite_compat.compatible:
return tflite_compat
tflite_model = get_tflite_model(self.model, self.context)
with log_action("Checking operator compatibility ..."):
return (
get_cortex_a_compatibility_info( # pylint: disable=assignment-from-none
Path(tflite_model.model_path)
)
)
@classmethod
def name(cls) -> str:
"""Return name of the collector."""
return "cortex_a_operator_compatibility"
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