PaddleSpeech/examples/other/rhy/run.sh

#!/bin/bash
set -e
source path.sh

gpus=0
stage=0
stop_stage=100

data=data
mkdir -p $data

aishell_data=label_train-set.txt
csmsc_data=000001-010000.txt

conf_path=conf/default.yaml
train_output_path=exp/default
ckpt_name=snapshot_iter_4680.pdz
text=我们城市的复苏有赖于他强有力的政策。
print_eval=false

# with the following command, you can choose the stage range you want to run
# such as `./run.sh --stage 0 --stop-stage 0`
# this can not be mixed use with `$1`, `$2` ...
source ${MAIN_ROOT}/utils/parse_options.sh || exit 1

if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
    # prepare data
    ./local/data.sh ${aishell_data} ${csmsc_data} ${data}
fi

if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
    # train model, all `ckpt` under `train_output_path/checkpoints/` dir
    CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} || exit -1
fi

if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
   CUDA_VISIBLE_DEVICES=${gpus} ./local/test.sh ${conf_path} ${train_output_path} ${ckpt_name} ${print_eval} || exit -1
fi

if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
   CUDA_VISIBLE_DEVICES=${gpus} ./local/rhy_predict.sh ${conf_path} ${train_output_path} ${ckpt_name} ${text}|| exit -1
fi