mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 18:12:19 +00:00
87 lines
2.4 KiB
Bash
Executable File
87 lines
2.4 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -ex
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log() {
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# This function is from espnet
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local fname=${BASH_SOURCE[1]##*/}
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echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
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}
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cd egs/yesno/ASR
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log "data preparation"
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./prepare.sh
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log "training"
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python3 ./tdnn/train.py
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log "decoding"
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python3 ./tdnn/decode.py
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log "export to pretrained.pt"
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python3 ./tdnn/export.py --epoch 14 --avg 2
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python3 ./tdnn/pretrained.py \
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--checkpoint ./tdnn/exp/pretrained.pt \
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--HLG ./data/lang_phone/HLG.pt \
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--words-file ./data/lang_phone/words.txt \
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download/waves_yesno/0_0_0_1_0_0_0_1.wav \
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download/waves_yesno/0_0_1_0_0_0_1_0.wav
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log "Test exporting to torchscript"
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python3 ./tdnn/export.py --epoch 14 --avg 2 --jit 1
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python3 ./tdnn/jit_pretrained.py \
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--nn-model ./tdnn/exp/cpu_jit.pt \
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--HLG ./data/lang_phone/HLG.pt \
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--words-file ./data/lang_phone/words.txt \
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download/waves_yesno/0_0_0_1_0_0_0_1.wav \
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download/waves_yesno/0_0_1_0_0_0_1_0.wav
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log "Test exporting to onnx"
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python3 ./tdnn/export_onnx.py --epoch 14 --avg 2
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log "Test float32 model"
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python3 ./tdnn/onnx_pretrained.py \
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--nn-model ./tdnn/exp/model-epoch-14-avg-2.onnx \
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--HLG ./data/lang_phone/HLG.pt \
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--words-file ./data/lang_phone/words.txt \
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download/waves_yesno/0_0_0_1_0_0_0_1.wav \
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download/waves_yesno/0_0_1_0_0_0_1_0.wav
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log "Test int8 model"
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python3 ./tdnn/onnx_pretrained.py \
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--nn-model ./tdnn/exp/model-epoch-14-avg-2.int8.onnx \
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--HLG ./data/lang_phone/HLG.pt \
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--words-file ./data/lang_phone/words.txt \
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download/waves_yesno/0_0_0_1_0_0_0_1.wav \
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download/waves_yesno/0_0_1_0_0_0_1_0.wav
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log "Test decoding with H"
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python3 ./tdnn/export.py --epoch 14 --avg 2 --jit 1
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python3 ./tdnn/jit_pretrained_decode_with_H.py \
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--nn-model ./tdnn/exp/cpu_jit.pt \
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--H ./data/lang_phone/H.fst \
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--tokens ./data/lang_phone/tokens.txt \
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./download/waves_yesno/0_0_0_1_0_0_0_1.wav \
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./download/waves_yesno/0_0_1_0_0_0_1_0.wav \
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./download/waves_yesno/0_0_1_0_0_1_1_1.wav
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log "Test decoding with HL"
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python3 ./tdnn/export.py --epoch 14 --avg 2 --jit 1
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python3 ./tdnn/jit_pretrained_decode_with_HL.py \
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--nn-model ./tdnn/exp/cpu_jit.pt \
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--HL ./data/lang_phone/HL.fst \
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--words ./data/lang_phone/words.txt \
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./download/waves_yesno/0_0_0_1_0_0_0_1.wav \
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./download/waves_yesno/0_0_1_0_0_0_1_0.wav \
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./download/waves_yesno/0_0_1_0_0_1_1_1.wav
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log "Show generated files"
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ls -lh tdnn/exp
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ls -lh data/lang_phone
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