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

64 lines
1.4 KiB

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#! /usr/bin/env bash
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=$2
ckpt_name=$(basename ${ckpt_prefxi})
mkdir -p exp
# download language model
#bash local/download_lm_ch.sh
#if [ $? -ne 0 ]; then
# exit 1
#fi
for type in attention ctc_greedy_search; do
echo "decoding ${type}"
batch_size=1
output_dir=${ckpt_prefix}
mkdir -p ${output_dir}
python3 -u ${BIN_DIR}/test.py \
--nproc ${ngpu} \
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--config ${config_path} \
--result_file ${output_dir}/${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
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--opts decoding.decoding_method ${type} \
--opts decoding.batch_size ${batch_size}
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if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
done
for type in ctc_prefix_beam_search attention_rescoring; do
echo "decoding ${type}"
batch_size=1
output_dir=${ckpt_prefix}
mkdir -p ${output_dir}
python3 -u ${BIN_DIR}/test.py \
--nproc ${ngpu} \
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--config ${config_path} \
--result_file ${output_dir}/${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
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--opts decoding.decoding_method ${type} \
--opts decoding.batch_size ${batch_size}
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if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
done
exit 0