diff options
Diffstat (limited to 'src/mlia/target/cortex_a/data_collection.py')
-rw-r--r-- | src/mlia/target/cortex_a/data_collection.py | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/src/mlia/target/cortex_a/data_collection.py b/src/mlia/target/cortex_a/data_collection.py new file mode 100644 index 0000000..3ec63e2 --- /dev/null +++ b/src/mlia/target/cortex_a/data_collection.py @@ -0,0 +1,51 @@ +# 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" |