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112 lines
3.4 KiB
112 lines
3.4 KiB
#!/bin/bash
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if [ $# != 3 ];then
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echo "usage: ${0} config_path decode_config_path ckpt_path_prefix"
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exit -1
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fi
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stage=0
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stop_stage=100
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ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
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echo "using $ngpu gpus..."
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config_path=$1
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decode_config_path=$2
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ckpt_prefix=$3
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chunk_mode=false
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if [[ ${config_path} =~ ^.*chunk_.*yaml$ ]];then
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chunk_mode=true
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fi
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# download language model
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#bash local/download_lm_ch.sh
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#if [ $? -ne 0 ]; then
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# exit 1
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#fi
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# format the reference test file
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python utils/format_rsl.py \
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--origin_ref data/manifest.test.raw \
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--trans_ref data/manifest.test.text
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for type in attention ctc_greedy_search; do
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echo "decoding ${type}"
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if [ ${chunk_mode} == true ];then
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# stream decoding only support batchsize=1
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batch_size=1
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else
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batch_size=64
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fi
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output_dir=${ckpt_prefix}
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mkdir -p ${output_dir}
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python3 -u ${BIN_DIR}/test.py \
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--ngpu ${ngpu} \
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--config ${config_path} \
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--decode_cfg ${decode_config_path} \
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--result_file ${output_dir}/${type}.rsl \
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--checkpoint_path ${ckpt_prefix} \
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--opts decode.decoding_method ${type} \
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--opts decode.decode_batch_size ${batch_size}
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if [ $? -ne 0 ]; then
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echo "Failed in evaluation!"
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exit 1
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fi
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# format the hyp file
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python utils/format_rsl.py \
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--origin_hyp ${output_dir}/${type}.rsl \
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--trans_hyp ${output_dir}/${type}.rsl.text
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python utils/compute-wer.py --char=1 --v=1 \
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data/manifest.test.text ${output_dir}/${type}.rsl.text > ${output_dir}/${type}.error
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done
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for type in ctc_prefix_beam_search attention_rescoring; do
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echo "decoding ${type}"
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batch_size=1
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output_dir=${ckpt_prefix}
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mkdir -p ${output_dir}
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python3 -u ${BIN_DIR}/test.py \
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--ngpu ${ngpu} \
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--config ${config_path} \
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--decode_cfg ${decode_config_path} \
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--result_file ${output_dir}/${type}.rsl \
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--checkpoint_path ${ckpt_prefix} \
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--opts decode.decoding_method ${type} \
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--opts decode.decode_batch_size ${batch_size}
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if [ $? -ne 0 ]; then
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echo "Failed in evaluation!"
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exit 1
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fi
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python utils/format_rsl.py \
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--origin_hyp ${output_dir}/${type}.rsl \
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--trans_hyp ${output_dir}/${type}.rsl.text
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python utils/compute-wer.py --char=1 --v=1 \
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data/manifest.test.text ${output_dir}/${type}.rsl.text > ${output_dir}/${type}.error
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done
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fi
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if [ ${stage} -le 101 ] && [ ${stop_stage} -ge 101 ]; then
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# format the reference test file for sclite
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python utils/format_rsl.py \
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--origin_ref data/manifest.test.raw \
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--trans_ref_sclite data/manifest.test.text.sclite
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output_dir=${ckpt_prefix}
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for type in attention ctc_greedy_search ctc_prefix_beam_search attention_rescoring; do
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python utils/format_rsl.py \
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--origin_hyp ${output_dir}/${type}.rsl \
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--trans_hyp_sclite ${output_dir}/${type}.rsl.text.sclite
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mkdir -p ${output_dir}/${type}_sclite
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sclite -i wsj -r data/manifest.test.text.sclite -h ${output_dir}/${type}.rsl.text.sclite -e utf-8 -o all -O ${output_dir}/${type}_sclite -c NOASCII
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done
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fi
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exit 0
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