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PaddleSpeech/examples/timit/asr1/local/test.sh

98 lines
2.3 KiB

#!/bin/bash
set -e
stage=0
stop_stage=50
. ${MAIN_ROOT}/utils/parse_options.sh || exit 1;
if [ $# != 2 ];then
echo "usage: ${0} config_path ckpt_path_prefix"
exit -1
fi
ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
echo "using $ngpu gpus..."
config_path=$1
ckpt_prefix=$2
chunk_mode=false
if [[ ${config_path} =~ ^.*chunk_.*yaml$ ]];then
chunk_mode=true
fi
# download language model
#bash local/download_lm_en.sh
#if [ $? -ne 0 ]; then
# exit 1
#fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
for type in attention ctc_greedy_search; do
echo "decoding ${type}"
if [ ${chunk_mode} == true ];then
# stream decoding only support batchsize=1
batch_size=1
else
batch_size=64
fi
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--result_file ${ckpt_prefix}.${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
--opts decoding.decoding_method ${type} \
--opts decoding.batch_size ${batch_size}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
done
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
for type in ctc_prefix_beam_search; do
echo "decoding ${type}"
batch_size=1
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--result_file ${ckpt_prefix}.${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
--opts decoding.decoding_method ${type} \
--opts decoding.batch_size ${batch_size}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
done
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
for type in attention_rescoring; do
echo "decoding ${type}"
batch_size=1
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--result_file ${ckpt_prefix}.${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
--opts decoding.decoding_method ${type} \
--opts decoding.batch_size ${batch_size}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
done
fi
exit 0