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702ec03ad8
* add hotword for deploy_tools * Support wfst decoder and contextual biasing (#1039) * Support wfst decoder and contextual biasing * Turn on fstbin compilation --------- Co-authored-by: gongbo.gb <gongbo.gb@alibaba-inc.com> * mv funasr/runtime runtime * Fix crash caused by OOV in hotwords list * funasr infer * funasr infer * funasr infer * funasr infer * funasr infer * fix some bugs about fst hotword; support wfst for websocket server and clients; mv runtime out of funasr; modify relative docs * del onnxruntime/include/gflags * update tensor.h * update run_server.sh * update deploy tools * update deploy tools * update websocket-server * update funasr-wss-server * Remove self loop propagation * Update websocket_protocol_zh.md * Update websocket_protocol_zh.md * update hotword protocol * author zhaomingwork: change hotwords for h5 and java * update hotword protocol * catch exception for json_fst_hws * update hotword on message * update onnx benchmark for ngram&hotword * update docs * update funasr-wss-serve * add NONE for LM_DIR * update docs * update run_server.sh * add whats-new * modify whats-new * update whats-new * update whats-new * Support decoder option for beam searching * update benchmark_onnx_cpp * Support decoder option for websocket * fix bug of CompileHotwordEmbedding * update html client * update docs --------- Co-authored-by: gongbo.gb <35997837+aibulamusi@users.noreply.github.com> Co-authored-by: gongbo.gb <gongbo.gb@alibaba-inc.com> Co-authored-by: 游雁 <zhifu.gzf@alibaba-inc.com>
57 lines
1.8 KiB
Markdown
57 lines
1.8 KiB
Markdown
# CPU Benchmark (Libtorch)
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## Configuration
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### Data set:
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Aishell1 [test set](https://www.openslr.org/33/) , the total audio duration is 36108.919 seconds.
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### Tools
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#### Install Requirements
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Install ModelScope and FunASR
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```shell
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pip install -U modelscope funasr
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# For the users in China, you could install with the command:
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#pip install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple
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```
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Install requirements
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```shell
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git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR
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cd funasr/runtime/python/utils
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pip install -r requirements.txt
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```
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#### Recipe
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##### test_rtf
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set the model, data path and output_dir
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```shell
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nohup bash test_rtf.sh &> log.txt &
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```
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##### test_cer
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set the model, data path and output_dir
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```shell
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nohup bash test_cer.sh &> log.txt &
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```
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## [Paraformer-large](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)
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### Intel(R) Xeon(R) Platinum 8269CY CPU @ 2.50GHz 16core-32processor with avx512_vnni
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| concurrent-tasks | processing time(s) | RTF | Speedup Rate |
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|:----------------:|:------------------:|:------:|:------------:|
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| 1 (torch fp32) | 3522 | 0.0976 | 10.3 |
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| 1 (torch int8) | 1746 | 0.0484 | 20.7 |
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| 32 (torch fp32) | 236 | 0.0066 | 152.7 |
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| 32 (torch int8) | 114 | 0.0032 | 317.4 |
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| 64 (torch fp32) | 235 | 0.0065 | 153.7 |
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| 64 (torch int8) | 113 | 0.0031 | 319.2 |
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[//]: # (### Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz 32core-64processor without avx512_vnni)
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## [Paraformer](https://modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8358-tensorflow1/summary)
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