[mob][photos] Actual logging in ML Computer

mobile/lib/services/machine_learning/ml_computer.dart

@@ -4,7 +4,9 @@ import 'dart:isolate';
 import 'dart:typed_data' show Uint8List;
 
 import "package:dart_ui_isolate/dart_ui_isolate.dart";
+import "package:flutter/foundation.dart" show kDebugMode;
 import "package:logging/logging.dart";
+import "package:photos/core/error-reporting/super_logging.dart";
 import "package:photos/models/ml/face/box.dart";
 import "package:photos/services/machine_learning/ml_model.dart";
 import "package:photos/services/machine_learning/semantic_search/clip/clip_text_encoder.dart";
@@ -59,6 +61,8 @@ class MLComputer {
 
   @pragma('vm:entry-point')
   static void _isolateMain(SendPort mainSendPort) async {
+    Logger.root.level = kDebugMode ? Level.ALL : Level.INFO;
+    Logger.root.onRecord.listen(SuperLogging.onLogRecord);
     final receivePort = ReceivePort();
     mainSendPort.send(receivePort.sendPort);
 

mobile/lib/services/machine_learning/semantic_search/clip/clip_text_encoder.dart

@@ -56,7 +56,9 @@ class ClipTextEncoder extends MlModel {
     final embedding = (outputs[0]?.value as List<List<double>>)[0];
     inputOrt.release();
     runOptions.release();
-    outputs.forEach((element) => element?.release());
+    for (var element in outputs) {
+      element?.release();
+    }
     normalizeEmbedding(embedding);
     return embedding;
   }

mobile/lib/utils/image_ml_util.dart

@@ -150,8 +150,8 @@ Future<List<Uint8List>> generateFaceThumbnailsUsingCanvas(
         await Future.wait(futureFaceThumbnails);
     return faceThumbnails;
   } catch (e) {
-    log('[ImageMlUtils] Error generating face thumbnails: $e');
-    log('[ImageMlUtils] cropImage problematic input argument: ${faceBoxes[i]}');
+    _logger.severe('Error generating face thumbnails: $e');
+    _logger.severe('cropImage problematic input argument: ${faceBoxes[i]}');
     return [];
   }
 }