2024-07-03 11:11:09 +05:30

81 lines
2.2 KiB
Dart

import "dart:io" show File;
import "package:computer/computer.dart";
import "package:logging/logging.dart";
import "package:onnxruntime/onnxruntime.dart";
import "package:photos/services/machine_learning/onnx_env.dart";
import "package:photos/services/remote_assets_service.dart";
abstract class MlModel {
Logger get logger;
String get kModelBucketEndpoint => "https://models.ente.io/";
String get modelRemotePath;
String get modelName;
bool isInitialized = false;
int sessionAddress = 0;
final computer = Computer.shared();
Future<void> init() async {
if (!isInitialized) {
logger.info('init is called');
final model =
await RemoteAssetsService.instance.getAsset(modelRemotePath);
final startTime = DateTime.now();
try {
sessionAddress = await computer.compute(
_loadModel,
param: {
"modelPath": model.path,
},
);
await ONNXEnv.instance.initONNX(modelName);
isInitialized = true;
final endTime = DateTime.now();
logger.info(
"model loaded, took: ${(endTime.millisecondsSinceEpoch - startTime.millisecondsSinceEpoch).toString()}ms",
);
} catch (e, s) {
logger.severe('model not loaded', e, s);
}
}
}
Future<void> release() async {
if (isInitialized) {
await computer.compute(_releaseModel, param: {'address': sessionAddress});
await ONNXEnv.instance.releaseONNX(modelName);
isInitialized = false;
sessionAddress = 0;
}
}
static Future<int> _loadModel(Map args) async {
final sessionOptions = OrtSessionOptions()
..setInterOpNumThreads(1)
..setIntraOpNumThreads(1)
..setSessionGraphOptimizationLevel(GraphOptimizationLevel.ortEnableAll);
try {
final session =
OrtSession.fromFile(File(args["modelPath"]), sessionOptions);
return session.address;
} catch (e) {
rethrow;
}
}
static Future<void> _releaseModel(Map args) async {
final address = args['address'] as int;
if (address == 0) {
return;
}
final session = OrtSession.fromAddress(address);
session.release();
return;
}
}