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55 lines
1.9 KiB
55 lines
1.9 KiB
#!/bin/bash
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# usage bash prepare.sh MODE
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# FILENAME=$1
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# MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer', 'infer']
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MODE=$1
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# dataline=$(cat ${FILENAME})
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# parser params
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IFS=$'\n'
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lines=(${dataline})
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function func_parser_key(){
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strs=$1
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IFS=":"
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array=(${strs})
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tmp=${array[0]}
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echo ${tmp}
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}
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function func_parser_value(){
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strs=$1
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IFS=":"
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array=(${strs})
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tmp=${array[1]}
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echo ${tmp}
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}
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IFS=$'\n'
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# The training params
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model_name=$(func_parser_value "${lines[1]}")
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trainer_list=$(func_parser_value "${lines[14]}")
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# MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer']
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if [ ${MODE} = "lite_train_infer" ];then
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# pretrain lite train data
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wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/pwg_baker_ckpt_0.4.zip
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(cd ./pretrain_models && unzip pwg_baker_ckpt_0.4.zip)
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# download data
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rm -rf ./train_data/mini_BZNSYP
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wget -nc -P ./train_data/ https://paddlespeech.bj.bcebos.com/datasets/CE/speedyspeech_v0.5/mini_BZNSYP.tar.gz
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cd ./train_data/ && tar xzf mini_BZNSYP.tar.gz
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cd ../
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elif [ ${MODE} = "whole_train_infer" ];then
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wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/speedyspeech_nosil_baker_ckpt_0.5.zip
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wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/pwg_baker_ckpt_0.4.zip
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(cd ./pretrain_models && unzip speedyspeech_nosil_baker_ckpt_0.5.zip && unzip pwg_baker_ckpt_0.4.zip)
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rm -rf ./train_data/processed_BZNSYP
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wget -nc -P ./train_data/ https://paddlespeech.bj.bcebos.com/datasets/CE/speedyspeech_v0.5/processed_BZNSYP.tar.gz
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cd ./train_data/ && tar xzf processed_BZNSYP.tar.gz
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cd ../
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else
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# whole infer using paddle inference library
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wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/speedyspeech_pwg_inference_0.5.zip
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(cd ./pretrain_models && unzip speedyspeech_pwg_inference_0.5.zip)
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fi
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