FunASR/funasr/runtime/python/utils/test_rtf.sh

nj=64
stage=0
scp=/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/wav.scp
logs_outputs_dir=/nfs/zhifu.gzf/data_debug/test/${tag}/split$nj
split_scps_tool=../../../egs/aishell/transformer/utils/split_scp.pl
rtf_tool=test_rtf.py

##:<<!
#backend=libtorch
#model_dir="/nfs/zhifu.gzf/export/damo/amp_int8/libtorch"
#tag=${backend}_fp32
#quantize='False'
#!
#
#:<<!
#backend=libtorch
#model_dir="/nfs/zhifu.gzf/export/damo/amp_int8/libtorch_fb20"
#tag=${backend}_amp_fb20
#quantize='True'
#!
#
#:<<!
#backend=onnxruntime
#model_dir="/nfs/zhifu.gzf/export/damo/amp_int8/onnx"
#tag=${backend}_fp32
#quantize='False'
#!
#
#:<<!
#backend=onnxruntime
#model_dir="/nfs/zhifu.gzf/export/damo/amp_int8/onnx_dynamic"
#tag=${backend}_fp32
#quantize='True'
#!

#:<<!
model_name="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
export_root="/nfs/zhifu.gzf/export"
backend=onnx
quantize='True'
tag=${model_name}/${backend}_${quantize}
!


mkdir -p ${logs_outputs_dir}
echo ${logs_outputs_dir}


if [ $stage == 0 ];then

  if [ $quantize == 'True' ];then
    python -m funasr.export.export_model --model-name ${model_name} --export-dir ${export_root} --type ${backend} --quantize --audio_in ${scp}
  else
    python -m funasr.export.export_model --model-name ${model_name} --export-dir ${export_root} --type ${backend}
  fi

fi

model_dir=${export_root}/${model_name}
split_scps=""
for JOB in $(seq ${nj}); do
    split_scps="$split_scps $logs_outputs_dir/wav.$JOB.scp"
done

perl ${split_scps_tool} $scp ${split_scps}


for JOB in $(seq ${nj}); do
  {
    core_id=`expr $JOB - 1`
    taskset -c ${core_id} python ${rtf_tool} --backend ${backend} --model_dir ${model_dir} --wav_file ${logs_outputs_dir}/wav.$JOB.scp --quantize ${quantize} &> ${logs_outputs_dir}/log.$JOB.txt
  }&

done
wait


rm -rf ${logs_outputs_dir}/total_time_comput.txt
rm -rf ${logs_outputs_dir}/total_time_wav.txt
rm -rf ${logs_outputs_dir}/total_rtf.txt
for JOB in $(seq ${nj}); do
  {
    cat ${logs_outputs_dir}/log.$JOB.txt | grep "total_time_comput" | awk -F ' '  '{print $2}' >> ${logs_outputs_dir}/total_time_comput.txt
    cat ${logs_outputs_dir}/log.$JOB.txt | grep "total_time_wav" | awk -F ' '  '{print $2}' >> ${logs_outputs_dir}/total_time_wav.txt
    cat ${logs_outputs_dir}/log.$JOB.txt | grep "total_rtf" | awk -F ' '  '{print $2}' >> ${logs_outputs_dir}/total_rtf.txt
  }

done

total_time_comput=`cat ${logs_outputs_dir}/total_time_comput.txt | awk 'BEGIN {max = 0} {if ($1+0>max+0) max=$1 fi} END {print max}'`
total_time_wav=`cat ${logs_outputs_dir}/total_time_wav.txt | awk '{sum +=$1};END {print sum}'`
rtf=`awk 'BEGIN{printf "%.5f\n",'$total_time_comput'/'$total_time_wav'}'`
speed=`awk 'BEGIN{printf "%.2f\n",1/'$rtf'}'`

echo "total_time_comput_ms: $total_time_comput"
echo "total_time_wav: $total_time_wav"
echo "total_rtf: $rtf, speech: $speed"