MLIA-711 Extend TensorFlow Lite Compatibility Check

- Unify the TensorFlow Lite compatibility check across Cortex-A, TOSA
and Ethos-U targets
- Display tables/messages with parsed information
- Do not display raw TensorFlow Lite errors, and return with exit code 0

Change-Id: I9333fdb6cbe592f1ed7395d392412168492a1479

1 files changed, 15 insertions, 2 deletions

diff --git a/src/mlia/target/tosa/data_collection.py b/src/mlia/target/tosa/data_collection.py
index 105c501..19ea6eb 100644
--- a/src/mlia/target/tosa/data_collection.py
+++ b/src/mlia/target/tosa/data_collection.py
@@ -1,12 +1,17 @@
-# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
+# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates.
 # SPDX-License-Identifier: Apache-2.0
 """TOSA data collection module."""
+from __future__ import annotations
+
 from pathlib import Path
 
 from mlia.backend.tosa_checker.compat import get_tosa_compatibility_info
 from mlia.backend.tosa_checker.compat import TOSACompatibilityInfo
 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.utils.logging import log_action
 
 
@@ -17,8 +22,16 @@ class TOSAOperatorCompatibility(ContextAwareDataCollector):
         """Init the data collector."""
         self.model = model
 
-    def collect_data(self) -> TOSACompatibilityInfo:
+    def collect_data(self) -> TFLiteCompatibilityInfo | TOSACompatibilityInfo | None:
         """Collect TOSA 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 ..."):