[mob][photos] Remove redundant logging

This commit is contained in:
laurenspriem 2024-09-03 13:21:50 +02:00
parent ed3b27475e
commit 4abd131b8a

View File

@ -4,7 +4,6 @@ import "dart:ui" show Image;
import "package:logging/logging.dart";
import "package:onnx_dart/onnx_dart.dart";
import "package:onnxruntime/onnxruntime.dart";
import "package:photos/extensions/stop_watch.dart";
import "package:photos/services/machine_learning/ml_model.dart";
import "package:photos/utils/image_ml_util.dart";
import "package:photos/utils/ml_util.dart";
@ -67,7 +66,6 @@ class ClipImageEncoder extends MlModel {
Float32List inputList,
int sessionAddress,
) {
final w = EnteWatch("ClipImageEncoder._runFFIBasedPredict")..start();
final inputOrt =
OrtValueTensor.createTensorWithDataList(inputList, [1, 3, 256, 256]);
final inputs = {'input': inputOrt};
@ -81,14 +79,12 @@ class ClipImageEncoder extends MlModel {
element?.release();
}
normalizeEmbedding(embedding);
w.stopWithLog("done");
return embedding;
}
static Future<List<double>> _runPlatformPluginPredict(
Float32List inputImageList,
) async {
final w = EnteWatch("ClipImageEncoder._runEntePlugin")..start();
final OnnxDart plugin = OnnxDart();
final result = await plugin.predict(
inputImageList,
@ -96,7 +92,6 @@ class ClipImageEncoder extends MlModel {
);
final List<double> embedding = result!.sublist(0, 512);
normalizeEmbedding(embedding);
w.stopWithLog("done");
return embedding;
}
}