Offline decode support multi threads #306
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change | ||||||
|---|---|---|---|---|---|---|---|---|
| @@ -0,0 +1,305 @@ | ||||||||
| // sherpa-onnx/csrc/sherpa-onnx-offline-parallel.cc | ||||||||
| // | ||||||||
| // Copyright (c) 2022-2023 cuidc | ||||||||
|
|
||||||||
| #include <stdio.h> | ||||||||
|
|
||||||||
| #include <atomic> | ||||||||
| #include <chrono> // NOLINT | ||||||||
| #include <fstream> | ||||||||
| #include <mutex> // NOLINT | ||||||||
| #include <string> | ||||||||
| #include <thread> // NOLINT | ||||||||
| #include <vector> | ||||||||
|
|
||||||||
| #include "sherpa-onnx/csrc/offline-recognizer.h" | ||||||||
| #include "sherpa-onnx/csrc/parse-options.h" | ||||||||
| #include "sherpa-onnx/csrc/wave-reader.h" | ||||||||
|
|
||||||||
| std::atomic<int> wav_index(0); | ||||||||
| std::mutex mtx; | ||||||||
|
|
||||||||
| std::vector<std::vector<std::string>> SplitToBatches( | ||||||||
| const std::vector<std::string> &input, int32_t batch_size) { | ||||||||
| std::vector<std::vector<std::string>> outputs; | ||||||||
| auto itr = input.cbegin(); | ||||||||
| int32_t process_num = 0; | ||||||||
|
|
||||||||
| while (process_num + batch_size <= static_cast<int32_t>(input.size())) { | ||||||||
| auto chunk_end = itr + batch_size; | ||||||||
| outputs.emplace_back(itr, chunk_end); | ||||||||
| itr = chunk_end; | ||||||||
| process_num += batch_size; | ||||||||
| } | ||||||||
| if (itr != input.cend()) { | ||||||||
| outputs.emplace_back(itr, input.cend()); | ||||||||
| } | ||||||||
| return outputs; | ||||||||
| } | ||||||||
|
|
||||||||
| std::vector<std::string> LoadScpFile(const std::string &wav_scp_path) { | ||||||||
| std::vector<std::string> wav_paths; | ||||||||
| std::ifstream in(wav_scp_path); | ||||||||
| if (!in.is_open()) { | ||||||||
| fprintf(stderr, "Failed to open file: %s.\n", wav_scp_path.c_str()); | ||||||||
| return wav_paths; | ||||||||
| } | ||||||||
| std::string line, column1, column2; | ||||||||
| while (std::getline(in, line)) { | ||||||||
| std::istringstream iss(line); | ||||||||
| iss >> column1 >> column2; | ||||||||
| wav_paths.emplace_back(std::move(column2)); | ||||||||
| } | ||||||||
|
|
||||||||
| return wav_paths; | ||||||||
| } | ||||||||
|
|
||||||||
| void AsrInference(const std::vector<std::vector<std::string>> &chunk_wav_paths, | ||||||||
| sherpa_onnx::OfflineRecognizer* recognizer, | ||||||||
| float* total_length, float* total_time) { | ||||||||
| std::vector<std::unique_ptr<sherpa_onnx::OfflineStream>> ss; | ||||||||
| std::vector<sherpa_onnx::OfflineStream *> ss_pointers; | ||||||||
| float duration = 0.0f; | ||||||||
| float elapsed_seconds_batch = 0.0f; | ||||||||
|
|
||||||||
| // warm up | ||||||||
| for (const auto &wav_filename : chunk_wav_paths[0]) { | ||||||||
| int32_t sampling_rate = -1; | ||||||||
| bool is_ok = false; | ||||||||
| const std::vector<float> samples = | ||||||||
| sherpa_onnx::ReadWave(wav_filename, &sampling_rate, &is_ok); | ||||||||
| if (!is_ok) { | ||||||||
| fprintf(stderr, "Failed to read %s\n", wav_filename.c_str()); | ||||||||
|
There was a problem hiding this comment.
Suggested change
Use |
||||||||
| continue; | ||||||||
| } | ||||||||
| duration += samples.size() / static_cast<float>(sampling_rate); | ||||||||
| auto s = recognizer->CreateStream(); | ||||||||
| s->AcceptWaveform(sampling_rate, samples.data(), samples.size()); | ||||||||
|
|
||||||||
| ss.push_back(std::move(s)); | ||||||||
| ss_pointers.push_back(ss.back().get()); | ||||||||
| } | ||||||||
| recognizer->DecodeStreams(ss_pointers.data(), ss_pointers.size()); | ||||||||
| ss_pointers.clear(); | ||||||||
| ss.clear(); | ||||||||
|
|
||||||||
| while (true) { | ||||||||
| int chunk = wav_index.fetch_add(1); | ||||||||
| if (chunk >= chunk_wav_paths.size()) { | ||||||||
| break; | ||||||||
| } | ||||||||
| const auto &wav_paths = chunk_wav_paths[chunk]; | ||||||||
| const auto begin = std::chrono::steady_clock::now(); | ||||||||
| for (const auto &wav_filename : wav_paths) { | ||||||||
| int32_t sampling_rate = -1; | ||||||||
| bool is_ok = false; | ||||||||
| const std::vector<float> samples = | ||||||||
| sherpa_onnx::ReadWave(wav_filename, &sampling_rate, &is_ok); | ||||||||
| if (!is_ok) { | ||||||||
| fprintf(stderr, "Failed to read %s\n", wav_filename.c_str()); | ||||||||
|
There was a problem hiding this comment.
Suggested change
|
||||||||
| continue; | ||||||||
| } | ||||||||
| duration += samples.size() / static_cast<float>(sampling_rate); | ||||||||
| auto s = recognizer->CreateStream(); | ||||||||
| s->AcceptWaveform(sampling_rate, samples.data(), samples.size()); | ||||||||
|
|
||||||||
| ss.push_back(std::move(s)); | ||||||||
| ss_pointers.push_back(ss.back().get()); | ||||||||
| } | ||||||||
| recognizer->DecodeStreams(ss_pointers.data(), ss_pointers.size()); | ||||||||
| const auto end = std::chrono::steady_clock::now(); | ||||||||
| float elapsed_seconds = | ||||||||
| std::chrono::duration_cast<std::chrono::milliseconds>(end - begin) | ||||||||
| .count() / | ||||||||
| 1000.; | ||||||||
| elapsed_seconds_batch += elapsed_seconds; | ||||||||
| int i = 0; | ||||||||
| for (const auto &wav_filename : wav_paths) { | ||||||||
| fprintf(stderr, "%s\n%s\n----\n", wav_filename.c_str(), | ||||||||
| ss[i]->GetResult().AsJsonString().c_str()); | ||||||||
| i = i + 1; | ||||||||
| } | ||||||||
| ss_pointers.clear(); | ||||||||
| ss.clear(); | ||||||||
| } | ||||||||
| fprintf(stderr, "thread %lu.\n", std::this_thread::get_id()); | ||||||||
| { | ||||||||
| std::lock_guard<std::mutex> guard(mtx); | ||||||||
| *total_length += duration; | ||||||||
| if (*total_time < elapsed_seconds_batch) { | ||||||||
| *total_time = elapsed_seconds_batch; | ||||||||
| } | ||||||||
| } | ||||||||
| } | ||||||||
|
|
||||||||
|
|
||||||||
| int main(int32_t argc, char *argv[]) { | ||||||||
| const char *kUsageMessage = R"usage( | ||||||||
| Speech recognition using non-streaming models with sherpa-onnx. | ||||||||
|
|
||||||||
| Usage: | ||||||||
|
|
||||||||
| (1) Transducer from icefall | ||||||||
|
|
||||||||
| See https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/index.html | ||||||||
|
|
||||||||
| ./bin/sherpa-onnx-offline-parallel \ | ||||||||
| --tokens=/path/to/tokens.txt \ | ||||||||
| --encoder=/path/to/encoder.onnx \ | ||||||||
| --decoder=/path/to/decoder.onnx \ | ||||||||
| --joiner=/path/to/joiner.onnx \ | ||||||||
| --num-threads=1 \ | ||||||||
| --decoding-method=greedy_search \ | ||||||||
| --batch-size=8 \ | ||||||||
| --nj=1 \ | ||||||||
| --wav-scp=wav.scp | ||||||||
|
|
||||||||
| ./bin/sherpa-onnx-offline-parallel \ | ||||||||
| --tokens=/path/to/tokens.txt \ | ||||||||
| --encoder=/path/to/encoder.onnx \ | ||||||||
| --decoder=/path/to/decoder.onnx \ | ||||||||
| --joiner=/path/to/joiner.onnx \ | ||||||||
| --num-threads=1 \ | ||||||||
| --decoding-method=greedy_search \ | ||||||||
| --batch-size=1 \ | ||||||||
| --nj=8 \ | ||||||||
| /path/to/foo.wav [bar.wav foobar.wav ...] | ||||||||
|
|
||||||||
| (2) Paraformer from FunASR | ||||||||
|
|
||||||||
| See https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/index.html | ||||||||
|
|
||||||||
| ./bin/sherpa-onnx-offline-parallel \ | ||||||||
| --tokens=/path/to/tokens.txt \ | ||||||||
| --paraformer=/path/to/model.onnx \ | ||||||||
| --num-threads=1 \ | ||||||||
| --decoding-method=greedy_search \ | ||||||||
| /path/to/foo.wav [bar.wav foobar.wav ...] | ||||||||
|
|
||||||||
| (3) Whisper models | ||||||||
|
|
||||||||
| See https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html | ||||||||
|
|
||||||||
| ./bin/sherpa-onnx-offline-parallel \ | ||||||||
| --whisper-encoder=./sherpa-onnx-whisper-base.en/base.en-encoder.int8.onnx \ | ||||||||
| --whisper-decoder=./sherpa-onnx-whisper-base.en/base.en-decoder.int8.onnx \ | ||||||||
| --tokens=./sherpa-onnx-whisper-base.en/base.en-tokens.txt \ | ||||||||
| --num-threads=1 \ | ||||||||
| /path/to/foo.wav [bar.wav foobar.wav ...] | ||||||||
|
|
||||||||
| (4) NeMo CTC models | ||||||||
|
|
||||||||
| See https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/index.html | ||||||||
|
|
||||||||
| ./bin/sherpa-onnx-offline-parallel \ | ||||||||
| --tokens=./sherpa-onnx-nemo-ctc-en-conformer-medium/tokens.txt \ | ||||||||
| --nemo-ctc-model=./sherpa-onnx-nemo-ctc-en-conformer-medium/model.onnx \ | ||||||||
| --num-threads=2 \ | ||||||||
| --decoding-method=greedy_search \ | ||||||||
| --debug=false \ | ||||||||
| ./sherpa-onnx-nemo-ctc-en-conformer-medium/test_wavs/0.wav \ | ||||||||
| ./sherpa-onnx-nemo-ctc-en-conformer-medium/test_wavs/1.wav \ | ||||||||
| ./sherpa-onnx-nemo-ctc-en-conformer-medium/test_wavs/8k.wav | ||||||||
|
|
||||||||
| (5) TDNN CTC model for the yesno recipe from icefall | ||||||||
|
|
||||||||
| See https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/yesno/index.html | ||||||||
| // | ||||||||
| ./bin/sherpa-onnx-offline-parallel \ | ||||||||
| --sample-rate=8000 \ | ||||||||
| --feat-dim=23 \ | ||||||||
| --tokens=./sherpa-onnx-tdnn-yesno/tokens.txt \ | ||||||||
| --tdnn-model=./sherpa-onnx-tdnn-yesno/model-epoch-14-avg-2.onnx \ | ||||||||
| ./sherpa-onnx-tdnn-yesno/test_wavs/0_0_0_1_0_0_0_1.wav \ | ||||||||
| ./sherpa-onnx-tdnn-yesno/test_wavs/0_0_1_0_0_0_1_0.wav | ||||||||
|
|
||||||||
| Note: It supports decoding multiple files in batches | ||||||||
|
|
||||||||
| foo.wav should be of single channel, 16-bit PCM encoded wave file; its | ||||||||
| sampling rate can be arbitrary and does not need to be 16kHz. | ||||||||
|
|
||||||||
| Please refer to | ||||||||
| https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html | ||||||||
| for a list of pre-trained models to download. | ||||||||
| )usage"; | ||||||||
| std::string wav_scp = ""; // file path, kaldi style wav list. | ||||||||
| int32_t nj = 1; // thread number | ||||||||
| int32_t batch_size = 1; // number of wav files processed at once. | ||||||||
| sherpa_onnx::ParseOptions po(kUsageMessage); | ||||||||
| sherpa_onnx::OfflineRecognizerConfig config; | ||||||||
| config.Register(&po); | ||||||||
| po.Register("wav-scp", &wav_scp, | ||||||||
|
There was a problem hiding this comment. Please update help to include |
||||||||
| "a file including wav-id and wav-path, kaldi style wav list." | ||||||||
| "default="". when it is not empty, wav files which positional " | ||||||||
| "parameters provide are invalid."); | ||||||||
| po.Register("nj", &nj, | ||||||||
| "multi-thread num for decoding, default=1"); | ||||||||
| po.Register("batch-size", &batch_size, | ||||||||
| "number of wav files processed at once during the decoding" | ||||||||
| "process. default=1"); | ||||||||
|
|
||||||||
| po.Read(argc, argv); | ||||||||
| if (po.NumArgs() < 1 && wav_scp.empty()) { | ||||||||
| fprintf(stderr, "Error: Please provide at least 1 wave file.\n\n"); | ||||||||
| po.PrintUsage(); | ||||||||
| exit(EXIT_FAILURE); | ||||||||
| } | ||||||||
|
|
||||||||
| fprintf(stderr, "%s\n", config.ToString().c_str()); | ||||||||
|
|
||||||||
| if (!config.Validate()) { | ||||||||
| fprintf(stderr, "Errors in config!\n"); | ||||||||
| return -1; | ||||||||
| } | ||||||||
| std::this_thread::sleep_for(std::chrono::seconds(10)); // sleep 10s | ||||||||
| fprintf(stderr, "Creating recognizer ...\n"); | ||||||||
| const auto begin = std::chrono::steady_clock::now(); | ||||||||
| sherpa_onnx::OfflineRecognizer recognizer(config); | ||||||||
| const auto end = std::chrono::steady_clock::now(); | ||||||||
| float elapsed_seconds = | ||||||||
| std::chrono::duration_cast<std::chrono::milliseconds>(end - begin) | ||||||||
| .count() / | ||||||||
| 1000.; | ||||||||
| fprintf(stderr, | ||||||||
| "Started nj: %d, batch_size: %d, wav_path: %s. recognizer init time: " | ||||||||
| "%.6f\n", nj, batch_size, wav_scp.c_str(), elapsed_seconds); | ||||||||
| std::this_thread::sleep_for(std::chrono::seconds(10)); // sleep 10s | ||||||||
| std::vector<std::string> wav_paths; | ||||||||
| if (!wav_scp.empty()) { | ||||||||
| wav_paths = LoadScpFile(wav_scp); | ||||||||
| } else { | ||||||||
| for (int32_t i = 1; i <= po.NumArgs(); ++i) { | ||||||||
| wav_paths.emplace_back(po.GetArg(i)); | ||||||||
| } | ||||||||
| } | ||||||||
| if (wav_paths.empty()) { | ||||||||
| fprintf(stderr, "wav files is empty.\n"); | ||||||||
| return -1; | ||||||||
| } | ||||||||
| std::vector<std::thread> threads; | ||||||||
| std::vector<std::vector<std::string>> batch_wav_paths = | ||||||||
| SplitToBatches(wav_paths, batch_size); | ||||||||
| float total_length = 0.0f; | ||||||||
| float total_time = 0.0f; | ||||||||
| for (int i = 0; i < nj; i++) { | ||||||||
| threads.emplace_back(std::thread(AsrInference, batch_wav_paths, | ||||||||
| &recognizer, &total_length, &total_time)); | ||||||||
| } | ||||||||
|
|
||||||||
| for (auto& thread : threads) { | ||||||||
| thread.join(); | ||||||||
| } | ||||||||
|
|
||||||||
| fprintf(stderr, "num threads: %d\n", config.model_config.num_threads); | ||||||||
| fprintf(stderr, "decoding method: %s\n", config.decoding_method.c_str()); | ||||||||
| if (config.decoding_method == "modified_beam_search") { | ||||||||
| fprintf(stderr, "max active paths: %d\n", config.max_active_paths); | ||||||||
| } | ||||||||
| fprintf(stderr, "Elapsed seconds: %.3f s\n", total_time); | ||||||||
| float rtf = total_time / total_length; | ||||||||
| fprintf(stderr, "Real time factor (RTF): %.6f / %.6f = %.4f\n", | ||||||||
| total_time, total_length, rtf); | ||||||||
| fprintf(stderr, "SPEEDUP: %.4f\n", 1.0 / rtf); | ||||||||
|
|
||||||||
| return 0; | ||||||||
| } | ||||||||
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
We can just exit on errors.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
when return a empty vector, the main function will exit normally. may be it's a better way?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
ok, it's up to you.