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40 lines
1.2 KiB
40 lines
1.2 KiB
#!/bin/bash
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set -e
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source path.sh
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gpus=0
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stage=0
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stop_stage=100
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aishell_data=label_train-set.txt
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csmsc_data=000001-010000.txt
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processed_path=data
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conf_path=conf/default.yaml
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train_output_path=exp/default
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ckpt_name=snapshot_iter_2600.pdz
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text=我们城市的复苏有赖于他强有力的政策。
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print_eval=false
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# with the following command, you can choose the stage range you want to run
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# such as `./run.sh --stage 0 --stop-stage 0`
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# this can not be mixed use with `$1`, `$2` ...
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source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# prepare data
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./local/data.sh ${aishell_data} ${csmsc_data} ${processed_path}
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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# train model, all `ckpt` under `train_output_path/checkpoints/` dir
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CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} || exit -1
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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CUDA_VISIBLE_DEVICES=${gpus} ./local/test.sh ${conf_path} ${train_output_path} ${ckpt_name} ${print_eval} || exit -1
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fi
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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CUDA_VISIBLE_DEVICES=${gpus} ./local/rhy_predict.sh ${conf_path} ${train_output_path} ${ckpt_name} ${text}|| exit -1
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fi |