MLIA-433 Add TensorFlow Lite compatibility check

- Add ability to intercept low level TensorFlow output
- Produce advice for the models that could not be
  converted to the TensorFlow Lite format
- Refactor utility functions for TensorFlow Lite
  conversion
- Add TensorFlow Lite compatibility checker

Change-Id: I47d120d2619ced7b143bc92c5184515b81c0220d

1 files changed, 3 insertions, 8 deletions

diff --git a/src/mlia/devices/tosa/data_collection.py b/src/mlia/devices/tosa/data_collection.py
index 843d5ab..3809903 100644
--- a/src/mlia/devices/tosa/data_collection.py
+++ b/src/mlia/devices/tosa/data_collection.py
@@ -1,15 +1,13 @@
 # SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
 # SPDX-License-Identifier: Apache-2.0
 """TOSA data collection module."""
-import logging
 from pathlib import Path
 
 from mlia.core.data_collection import ContextAwareDataCollector
 from mlia.devices.tosa.operators import get_tosa_compatibility_info
 from mlia.devices.tosa.operators import TOSACompatibilityInfo
 from mlia.nn.tensorflow.config import get_tflite_model
-
-logger = logging.getLogger(__name__)
+from mlia.utils.logging import log_action
 
 
 class TOSAOperatorCompatibility(ContextAwareDataCollector):
@@ -23,11 +21,8 @@ class TOSAOperatorCompatibility(ContextAwareDataCollector):
         """Collect TOSA compatibility information."""
         tflite_model = get_tflite_model(self.model, self.context)
 
-        logger.info("Checking operator compatibility ...")
-        tosa_info = get_tosa_compatibility_info(tflite_model.model_path)
-        logger.info("Done\n")
-
-        return tosa_info
+        with log_action("Checking operator compatibility ..."):
+            return get_tosa_compatibility_info(tflite_model.model_path)
 
     @classmethod
     def name(cls) -> str: