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, 5 insertions, 6 deletions

diff --git a/src/mlia/devices/ethosu/data_collection.py b/src/mlia/devices/ethosu/data_collection.py
index 6ddebac..c8d5293 100644
--- a/src/mlia/devices/ethosu/data_collection.py
+++ b/src/mlia/devices/ethosu/data_collection.py
@@ -22,6 +22,7 @@ from mlia.nn.tensorflow.optimizations.select import OptimizationSettings
 from mlia.nn.tensorflow.utils import save_keras_model
 from mlia.tools.vela_wrapper import Operators
 from mlia.tools.vela_wrapper import supported_operators
+from mlia.utils.logging import log_action
 from mlia.utils.types import is_list_of
 
 logger = logging.getLogger(__name__)
@@ -39,12 +40,10 @@ class EthosUOperatorCompatibility(ContextAwareDataCollector):
         """Collect operator compatibility information."""
         tflite_model = get_tflite_model(self.model, self.context)
 
-        logger.info("Checking operator compatibility ...")
-        ops = supported_operators(
-            Path(tflite_model.model_path), self.device.compiler_options
-        )
-        logger.info("Done\n")
-        return ops
+        with log_action("Checking operator compatibility ..."):
+            return supported_operators(
+                Path(tflite_model.model_path), self.device.compiler_options
+            )
 
     @classmethod
     def name(cls) -> str: