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PaddleSpeech/examples/librispeech/s1/local/test.sh

88 lines
2.1 KiB

#!/bin/bash
set -e
expdir=exp
datadir=data
nj=32
lmtag=
recog_set="test-clean test-other dev-clean dev-other"
recog_set="test-clean"
# bpemode (unigram or bpe)
nbpe=5000
bpemode=unigram
bpeprefix="data/bpe_${bpemode}_${nbpe}"
bpemodel=${bpeprefix}.model
if [ $# != 3 ];then
echo "usage: ${0} config_path dict_path ckpt_path_prefix"
exit -1
fi
ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
echo "using $ngpu gpus..."
config_path=$1
dict=$2
ckpt_prefix=$3
chunk_mode=false
if [[ ${config_path} =~ ^.*chunk_.*yaml$ ]];then
chunk_mode=true
fi
echo "chunk mode ${chunk_mode}"
# download language model
#bash local/download_lm_en.sh
#if [ $? -ne 0 ]; then
# exit 1
#fi
pids=() # initialize pids
for dmethd in attention ctc_greedy_search ctc_prefix_beam_search attention_rescoring; do
(
for rtask in ${recog_set}; do
(
decode_dir=decode_${rtask}_${dmethd}_$(basename ${config_path%.*})_${lmtag}
feat_recog_dir=${datadir}
mkdir -p ${expdir}/${decode_dir}
mkdir -p ${feat_recog_dir}
# split data
split_json.sh ${feat_recog_dir}/manifest.${rtask} ${nj}
#### use CPU for decoding
ngpu=0
# set batchsize 0 to disable batch decoding
batch_size=1
${decode_cmd} JOB=1:${nj} ${expdir}/${decode_dir}/log/decode.JOB.log \
python3 -u ${BIN_DIR}/test.py \
--nproc ${ngpu} \
--config ${config_path} \
--result_file ${expdir}/${decode_dir}/data.JOB.json \
--checkpoint_path ${ckpt_prefix} \
--opts decoding.decoding_method ${dmethd} \
--opts decoding.batch_size ${batch_size} \
--opts data.test_manifest ${feat_recog_dir}/split${nj}/JOB/manifest.${rtask}
score_sclite.sh --bpe ${nbpe} --bpemodel ${bpemodel}.model --wer true ${expdir}/${decode_dir} ${dict}
) &
pids+=($!) # store background pids
done
) &
pids+=($!) # store background pids
done
i=0; for pid in "${pids[@]}"; do wait ${pid} || ((++i)); done
[ ${i} -gt 0 ] && echo "$0: ${i} background jobs are failed." && false
echo "Finished"
exit 0