Add dart API for SenseVoice (#1159)
This commit is contained in:
4
.github/scripts/test-dart.sh
vendored
4
.github/scripts/test-dart.sh
vendored
@@ -6,6 +6,10 @@ cd dart-api-examples
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pushd non-streaming-asr
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echo '----------SenseVoice----------'
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./run-sense-voice.sh
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rm -rf sherpa-onnx-*
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echo '----------NeMo transducer----------'
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./run-nemo-transducer.sh
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rm -rf sherpa-onnx-*
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@@ -11,4 +11,5 @@ This folder contains examples for non-streaming ASR with Dart API.
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|[./bin/whisper.dart](./bin/whisper.dart)| Use whisper for speech recognition. See [./run-whisper.sh](./run-whisper.sh)|
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|[./bin/zipformer-transducer.dart](./bin/zipformer-transducer.dart)| Use a zipformer transducer for speech recognition. See [./run-zipformer-transducer.sh](./run-zipformer-transducer.sh)|
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|[./bin/vad-with-paraformer.dart](./bin/vad-with-paraformer.dart)| Use a [silero-vad](https://github.com/snakers4/silero-vad) with paraformer for speech recognition. See [./run-vad-with-paraformer.sh](./run-vad-with-paraformer.sh)|
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|[./bin/sense-voice.dart](./bin/sense-voice.dart)| Use a SenseVoice CTC model for speech recognition. See [./run-sense-voice.sh](./run-sense-voice.sh)|
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61
dart-api-examples/non-streaming-asr/bin/sense-voice.dart
Normal file
61
dart-api-examples/non-streaming-asr/bin/sense-voice.dart
Normal file
@@ -0,0 +1,61 @@
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// Copyright (c) 2024 Xiaomi Corporation
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import 'dart:io';
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import 'dart:typed_data';
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import 'package:args/args.dart';
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import 'package:sherpa_onnx/sherpa_onnx.dart' as sherpa_onnx;
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import './init.dart';
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void main(List<String> arguments) async {
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await initSherpaOnnx();
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final parser = ArgParser()
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..addOption('model', help: 'Path to the paraformer model')
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..addOption('tokens', help: 'Path to tokens.txt')
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..addOption('language',
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help: 'auto, zh, en, ja, ko, yue, or leave it empty to use auto',
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defaultsTo: '')
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..addOption('use-itn',
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help: 'true to use inverse text normalization', defaultsTo: 'false')
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..addOption('input-wav', help: 'Path to input.wav to transcribe');
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final res = parser.parse(arguments);
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if (res['model'] == null ||
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res['tokens'] == null ||
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res['input-wav'] == null) {
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print(parser.usage);
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exit(1);
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}
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final model = res['model'] as String;
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final tokens = res['tokens'] as String;
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final inputWav = res['input-wav'] as String;
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final language = res['language'] as String;
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final useItn = (res['use-itn'] as String).toLowerCase() == 'true';
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final senseVoice = sherpa_onnx.OfflineSenseVoiceModelConfig(
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model: model, language: language, useInverseTextNormalization: useItn);
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final modelConfig = sherpa_onnx.OfflineModelConfig(
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senseVoice: senseVoice,
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tokens: tokens,
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debug: true,
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numThreads: 1,
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);
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final config = sherpa_onnx.OfflineRecognizerConfig(model: modelConfig);
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final recognizer = sherpa_onnx.OfflineRecognizer(config);
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final waveData = sherpa_onnx.readWave(inputWav);
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final stream = recognizer.createStream();
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stream.acceptWaveform(
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samples: waveData.samples, sampleRate: waveData.sampleRate);
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recognizer.decode(stream);
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final result = recognizer.getResult(stream);
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print(result.text);
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stream.free();
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recognizer.free();
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}
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@@ -10,7 +10,7 @@ environment:
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# Add regular dependencies here.
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dependencies:
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sherpa_onnx: ^1.10.16
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sherpa_onnx: ^1.10.17
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path: ^1.9.0
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args: ^2.5.0
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18
dart-api-examples/non-streaming-asr/run-sense-voice.sh
Executable file
18
dart-api-examples/non-streaming-asr/run-sense-voice.sh
Executable file
@@ -0,0 +1,18 @@
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#!/usr/bin/env bash
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set -ex
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dart pub get
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if [ ! -f ./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt ]; then
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curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
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fi
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dart run \
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./bin/sense-voice.dart \
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--model ./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx \
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--tokens ./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt \
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--use-itn true \
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--input-wav ./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/zh.wav
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@@ -11,7 +11,7 @@ environment:
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# Add regular dependencies here.
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dependencies:
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sherpa_onnx: ^1.10.16
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sherpa_onnx: ^1.10.17
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path: ^1.9.0
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args: ^2.5.0
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@@ -8,7 +8,7 @@ environment:
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# Add regular dependencies here.
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dependencies:
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sherpa_onnx: ^1.10.16
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sherpa_onnx: ^1.10.17
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path: ^1.9.0
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args: ^2.5.0
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@@ -9,7 +9,7 @@ environment:
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sdk: ^3.4.0
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dependencies:
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sherpa_onnx: ^1.10.16
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sherpa_onnx: ^1.10.17
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path: ^1.9.0
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args: ^2.5.0
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@@ -5,7 +5,7 @@ description: >
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publish_to: 'none'
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version: 1.10.16
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version: 1.10.17
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topics:
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- speech-recognition
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@@ -30,7 +30,7 @@ dependencies:
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record: ^5.1.0
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url_launcher: ^6.2.6
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sherpa_onnx: ^1.10.16
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sherpa_onnx: ^1.10.17
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# sherpa_onnx:
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# path: ../../flutter/sherpa_onnx
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@@ -5,7 +5,7 @@ description: >
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publish_to: 'none' # Remove this line if you wish to publish to pub.dev
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version: 1.10.16
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version: 1.10.17
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environment:
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sdk: '>=3.4.0 <4.0.0'
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@@ -17,7 +17,7 @@ dependencies:
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cupertino_icons: ^1.0.6
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path_provider: ^2.1.3
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path: ^1.9.0
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sherpa_onnx: ^1.10.16
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sherpa_onnx: ^1.10.17
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url_launcher: ^6.2.6
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audioplayers: ^5.0.0
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@@ -79,6 +79,23 @@ class OfflineTdnnModelConfig {
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final String model;
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}
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class OfflineSenseVoiceModelConfig {
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const OfflineSenseVoiceModelConfig({
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this.model = '',
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this.language = '',
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this.useInverseTextNormalization = false,
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});
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@override
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String toString() {
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return 'OfflineSenseVoiceModelConfig(model: $model, language: $language, useInverseTextNormalization: $useInverseTextNormalization)';
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}
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final String model;
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final String language;
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final bool useInverseTextNormalization;
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}
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class OfflineLMConfig {
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const OfflineLMConfig({this.model = '', this.scale = 1.0});
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@@ -98,6 +115,7 @@ class OfflineModelConfig {
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this.nemoCtc = const OfflineNemoEncDecCtcModelConfig(),
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this.whisper = const OfflineWhisperModelConfig(),
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this.tdnn = const OfflineTdnnModelConfig(),
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this.senseVoice = const OfflineSenseVoiceModelConfig(),
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required this.tokens,
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this.numThreads = 1,
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this.debug = true,
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@@ -110,7 +128,7 @@ class OfflineModelConfig {
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@override
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String toString() {
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return 'OfflineModelConfig(transducer: $transducer, paraformer: $paraformer, nemoCtc: $nemoCtc, whisper: $whisper, tdnn: $tdnn, tokens: $tokens, numThreads: $numThreads, debug: $debug, provider: $provider, modelType: $modelType, modelingUnit: $modelingUnit, bpeVocab: $bpeVocab, telespeechCtc: $telespeechCtc)';
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return 'OfflineModelConfig(transducer: $transducer, paraformer: $paraformer, nemoCtc: $nemoCtc, whisper: $whisper, tdnn: $tdnn, senseVoice: $senseVoice, tokens: $tokens, numThreads: $numThreads, debug: $debug, provider: $provider, modelType: $modelType, modelingUnit: $modelingUnit, bpeVocab: $bpeVocab, telespeechCtc: $telespeechCtc)';
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}
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final OfflineTransducerModelConfig transducer;
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@@ -118,6 +136,7 @@ class OfflineModelConfig {
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final OfflineNemoEncDecCtcModelConfig nemoCtc;
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final OfflineWhisperModelConfig whisper;
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final OfflineTdnnModelConfig tdnn;
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final OfflineSenseVoiceModelConfig senseVoice;
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final String tokens;
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final int numThreads;
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@@ -219,6 +238,14 @@ class OfflineRecognizer {
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c.ref.model.tdnn.model = config.model.tdnn.model.toNativeUtf8();
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c.ref.model.senseVoice.model = config.model.senseVoice.model.toNativeUtf8();
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c.ref.model.senseVoice.language =
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config.model.senseVoice.language.toNativeUtf8();
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c.ref.model.senseVoice.useInverseTextNormalization =
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config.model.senseVoice.useInverseTextNormalization ? 1 : 0;
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c.ref.model.tokens = config.model.tokens.toNativeUtf8();
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c.ref.model.numThreads = config.model.numThreads;
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@@ -254,6 +281,8 @@ class OfflineRecognizer {
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calloc.free(c.ref.model.modelType);
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calloc.free(c.ref.model.provider);
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calloc.free(c.ref.model.tokens);
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calloc.free(c.ref.model.senseVoice.language);
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calloc.free(c.ref.model.senseVoice.model);
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calloc.free(c.ref.model.tdnn.model);
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calloc.free(c.ref.model.whisper.task);
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calloc.free(c.ref.model.whisper.language);
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@@ -87,6 +87,14 @@ final class SherpaOnnxOfflineTdnnModelConfig extends Struct {
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external Pointer<Utf8> model;
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}
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final class SherpaOnnxOfflineSenseVoiceModelConfig extends Struct {
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external Pointer<Utf8> model;
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external Pointer<Utf8> language;
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@Int32()
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external int useInverseTextNormalization;
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}
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final class SherpaOnnxOfflineLMConfig extends Struct {
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external Pointer<Utf8> model;
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@@ -115,6 +123,8 @@ final class SherpaOnnxOfflineModelConfig extends Struct {
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external Pointer<Utf8> modelingUnit;
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external Pointer<Utf8> bpeVocab;
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external Pointer<Utf8> telespeechCtc;
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external SherpaOnnxOfflineSenseVoiceModelConfig senseVoice;
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}
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final class SherpaOnnxOfflineRecognizerConfig extends Struct {
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@@ -17,7 +17,7 @@ topics:
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- voice-activity-detection
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# remember to change the version in ../sherpa_onnx_macos/macos/sherpa_onnx_macos.podspec
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version: 1.10.16
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version: 1.10.17
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homepage: https://github.com/k2-fsa/sherpa-onnx
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@@ -30,19 +30,19 @@ dependencies:
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flutter:
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sdk: flutter
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sherpa_onnx_android: ^1.10.16
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sherpa_onnx_android: ^1.10.17
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# path: ../sherpa_onnx_android
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sherpa_onnx_macos: ^1.10.16
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sherpa_onnx_macos: ^1.10.17
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# path: ../sherpa_onnx_macos
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sherpa_onnx_linux: ^1.10.16
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sherpa_onnx_linux: ^1.10.17
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# path: ../sherpa_onnx_linux
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#
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sherpa_onnx_windows: ^1.10.16
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sherpa_onnx_windows: ^1.10.17
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# path: ../sherpa_onnx_windows
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sherpa_onnx_ios: ^1.10.16
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sherpa_onnx_ios: ^1.10.17
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# sherpa_onnx_ios:
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# path: ../sherpa_onnx_ios
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@@ -7,7 +7,7 @@
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# https://groups.google.com/g/dart-ffi/c/nUATMBy7r0c
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Pod::Spec.new do |s|
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s.name = 'sherpa_onnx_ios'
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s.version = '1.10.16'
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s.version = '1.10.17'
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s.summary = 'A new Flutter FFI plugin project.'
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s.description = <<-DESC
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A new Flutter FFI plugin project.
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@@ -4,7 +4,7 @@
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#
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Pod::Spec.new do |s|
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s.name = 'sherpa_onnx_macos'
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s.version = '1.10.16'
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s.version = '1.10.17'
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s.summary = 'sherpa-onnx Flutter FFI plugin project.'
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s.description = <<-DESC
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sherpa-onnx Flutter FFI plugin project.
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@@ -17,7 +17,7 @@ topics:
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- voice-activity-detection
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# remember to change the version in ../sherpa_onnx_macos/macos/sherpa_onnx.podspec
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version: 1.10.16
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version: 1.10.17
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homepage: https://github.com/k2-fsa/sherpa-onnx
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@@ -13,14 +13,15 @@ namespace sherpa_onnx {
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void CudaConfig::Register(ParseOptions *po) {
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po->Register("cuda-cudnn-conv-algo-search", &cudnn_conv_algo_search,
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"CuDNN convolution algrorithm search");
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"CuDNN convolution algrorithm search");
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}
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bool CudaConfig::Validate() const {
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if (cudnn_conv_algo_search < 1 || cudnn_conv_algo_search > 3) {
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SHERPA_ONNX_LOGE("cudnn_conv_algo_search: '%d' is not a valid option."
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"Options : [1,3]. Check OnnxRT docs",
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cudnn_conv_algo_search);
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SHERPA_ONNX_LOGE(
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"cudnn_conv_algo_search: '%d' is not a valid option."
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"Options : [1,3]. Check OnnxRT docs",
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cudnn_conv_algo_search);
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return false;
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}
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return true;
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@@ -37,41 +38,41 @@ std::string CudaConfig::ToString() const {
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void TensorrtConfig::Register(ParseOptions *po) {
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po->Register("trt-max-workspace-size", &trt_max_workspace_size,
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"Set TensorRT EP GPU memory usage limit.");
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"Set TensorRT EP GPU memory usage limit.");
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po->Register("trt-max-partition-iterations", &trt_max_partition_iterations,
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"Limit partitioning iterations for model conversion.");
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"Limit partitioning iterations for model conversion.");
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po->Register("trt-min-subgraph-size", &trt_min_subgraph_size,
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"Set minimum size for subgraphs in partitioning.");
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"Set minimum size for subgraphs in partitioning.");
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po->Register("trt-fp16-enable", &trt_fp16_enable,
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"Enable FP16 precision for faster performance.");
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"Enable FP16 precision for faster performance.");
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po->Register("trt-detailed-build-log", &trt_detailed_build_log,
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"Enable detailed logging of build steps.");
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"Enable detailed logging of build steps.");
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po->Register("trt-engine-cache-enable", &trt_engine_cache_enable,
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"Enable caching of TensorRT engines.");
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"Enable caching of TensorRT engines.");
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po->Register("trt-timing-cache-enable", &trt_timing_cache_enable,
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"Enable use of timing cache to speed up builds.");
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"Enable use of timing cache to speed up builds.");
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po->Register("trt-engine-cache-path", &trt_engine_cache_path,
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"Set path to store cached TensorRT engines.");
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"Set path to store cached TensorRT engines.");
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po->Register("trt-timing-cache-path", &trt_timing_cache_path,
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"Set path for storing timing cache.");
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"Set path for storing timing cache.");
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po->Register("trt-dump-subgraphs", &trt_dump_subgraphs,
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"Dump optimized subgraphs for debugging.");
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"Dump optimized subgraphs for debugging.");
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}
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bool TensorrtConfig::Validate() const {
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if (trt_max_workspace_size < 0) {
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SHERPA_ONNX_LOGE("trt_max_workspace_size: %lld is not valid.",
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trt_max_workspace_size);
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SHERPA_ONNX_LOGE("trt_max_workspace_size: %ld is not valid.",
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trt_max_workspace_size);
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return false;
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}
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if (trt_max_partition_iterations < 0) {
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SHERPA_ONNX_LOGE("trt_max_partition_iterations: %d is not valid.",
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trt_max_partition_iterations);
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trt_max_partition_iterations);
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return false;
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}
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if (trt_min_subgraph_size < 0) {
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SHERPA_ONNX_LOGE("trt_min_subgraph_size: %d is not valid.",
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trt_min_subgraph_size);
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trt_min_subgraph_size);
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return false;
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}
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||||
@@ -83,23 +84,19 @@ std::string TensorrtConfig::ToString() const {
|
||||
|
||||
os << "TensorrtConfig(";
|
||||
os << "trt_max_workspace_size=" << trt_max_workspace_size << ", ";
|
||||
os << "trt_max_partition_iterations="
|
||||
<< trt_max_partition_iterations << ", ";
|
||||
os << "trt_max_partition_iterations=" << trt_max_partition_iterations << ", ";
|
||||
os << "trt_min_subgraph_size=" << trt_min_subgraph_size << ", ";
|
||||
os << "trt_fp16_enable=\""
|
||||
<< (trt_fp16_enable? "True" : "False") << "\", ";
|
||||
os << "trt_fp16_enable=\"" << (trt_fp16_enable ? "True" : "False") << "\", ";
|
||||
os << "trt_detailed_build_log=\""
|
||||
<< (trt_detailed_build_log? "True" : "False") << "\", ";
|
||||
<< (trt_detailed_build_log ? "True" : "False") << "\", ";
|
||||
os << "trt_engine_cache_enable=\""
|
||||
<< (trt_engine_cache_enable? "True" : "False") << "\", ";
|
||||
os << "trt_engine_cache_path=\""
|
||||
<< trt_engine_cache_path.c_str() << "\", ";
|
||||
<< (trt_engine_cache_enable ? "True" : "False") << "\", ";
|
||||
os << "trt_engine_cache_path=\"" << trt_engine_cache_path.c_str() << "\", ";
|
||||
os << "trt_timing_cache_enable=\""
|
||||
<< (trt_timing_cache_enable? "True" : "False") << "\", ";
|
||||
os << "trt_timing_cache_path=\""
|
||||
<< trt_timing_cache_path.c_str() << "\",";
|
||||
os << "trt_dump_subgraphs=\""
|
||||
<< (trt_dump_subgraphs? "True" : "False") << "\" )";
|
||||
<< (trt_timing_cache_enable ? "True" : "False") << "\", ";
|
||||
os << "trt_timing_cache_path=\"" << trt_timing_cache_path.c_str() << "\",";
|
||||
os << "trt_dump_subgraphs=\"" << (trt_dump_subgraphs ? "True" : "False")
|
||||
<< "\" )";
|
||||
return os.str();
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user