#!/bin/bash source test_tipc/common_func.sh FILENAME=$1 # MODE be one of ['benchmark_train_lite_infer' 'benchmark_train_whole_infer' 'whole_train_whole_infer', # 'whole_infer', 'klquant_whole_infer', # 'cpp_infer', 'serving_infer', 'benchmark_train'] MODE=$2 dataline=$(cat ${FILENAME}) # parser params IFS=$'\n' lines=(${dataline}) # The training params model_name=$(func_parser_value "${lines[1]}") echo "model_name:"${model_name} trainer_list=$(func_parser_value "${lines[14]}") if [ ${MODE} = "benchmark_train" ];then curPath=$(readlink -f "$(dirname "$0")") echo "curPath:"${curPath} cd ${curPath}/../.. pip install . cd - if [ ${model_name} == "conformer" ]; then # set the URL for aishell_tiny dataset URL='None' echo "URL:"${URL} if [ ${URL} == 'None' ];then echo "please contact author to get the URL.\n" exit fi sed -i "s#^URL_ROOT_TAG#URL_ROOT = '${URL}'#g" ${curPath}/conformer/scripts/aishell_tiny.py cp ${curPath}/conformer/scripts/aishell_tiny.py ${curPath}/../../dataset/aishell/ cd ${curPath}/../../examples/aishell/asr1 source path.sh # download audio data sed -i "s#aishell.py#aishell_tiny.py#g" ./local/data.sh bash ./local/data.sh || exit -1 if [ $? -ne 0 ]; then exit 1 fi mkdir -p ${curPath}/conformer/benchmark_train/ cp -rf conf ${curPath}/conformer/benchmark_train/ cp -rf data ${curPath}/conformer/benchmark_train/ cd ${curPath} sed -i "s#accum_grad: 2#accum_grad: 1#g" ${curPath}/conformer/benchmark_train/conf/conformer.yaml sed -i "s#data/#test_tipc/conformer/benchmark_train/data/#g" ${curPath}/conformer/benchmark_train/conf/conformer.yaml sed -i "s#conf/#test_tipc/conformer/benchmark_train/conf/#g" ${curPath}/conformer/benchmark_train/conf/conformer.yaml sed -i "s#data/#test_tipc/conformer/benchmark_train/data/#g" ${curPath}/conformer/benchmark_train/conf/tuning/decode.yaml sed -i "s#data/#test_tipc/conformer/benchmark_train/data/#g" ${curPath}/conformer/benchmark_train/conf/preprocess.yaml fi fi