|
|
|
|
|
# 提供可稳定复现性能的脚本，默认在标准docker环境内py37执行： paddlepaddle/paddle:latest-gpu-cuda10.1-cudnn7 paddle=2.1.2 py=37
|
|
|
# 执行目录：需说明
|
|
|
CUR_DIR=${PWD} # PaddleSpeech/tests/benchmark/conformer
|
|
|
cd ../../../
|
|
|
log_path=${LOG_PATH_INDEX_DIR:-$(pwd)} # benchmark系统指定该参数,不需要跑profile时,log_path指向存speed的目录
|
|
|
cd ${CUR_DIR}
|
|
|
sed -i '/set\ -xe/d' run_benchmark.sh
|
|
|
|
|
|
#cd **
|
|
|
pushd ../../../examples/aishell/asr1
|
|
|
# 1 安装该模型需要的依赖 (如需开启优化策略请注明)
|
|
|
# 2 拷贝该模型需要数据、预训练模型
|
|
|
|
|
|
|
|
|
source path.sh
|
|
|
source ${MAIN_ROOT}/utils/parse_options.sh || exit 1;
|
|
|
mkdir -p conf/benchmark
|
|
|
#yq e ".training.accum_grad=1" conf/conformer.yaml > conf/benchmark/conformer.yaml
|
|
|
cp conf/conformer.yaml conf/benchmark/conformer.yaml
|
|
|
sed -i "s/ accum_grad: 2/ accum_grad: 1/g" conf/benchmark/conformer.yaml
|
|
|
fp_item_list=(fp32)
|
|
|
bs_item=(16)
|
|
|
config_path=conf/benchmark/conformer.yaml
|
|
|
seed=0
|
|
|
output=exp/conformer
|
|
|
profiler_options=None
|
|
|
model_item=conformer
|
|
|
for fp_item in ${fp_item_list[@]}; do
|
|
|
for bs_item in ${bs_item[@]}
|
|
|
do
|
|
|
rm exp -rf
|
|
|
log_name=speech_${model_item}_bs${bs_item}_${fp_item} # 如:clas_MobileNetv1_mp_bs32_fp32_8
|
|
|
echo "index is speed, 8gpus, run_mode is multi_process, begin, conformer"
|
|
|
run_mode=mp
|
|
|
ngpu=8
|
|
|
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash ${CUR_DIR}/run_benchmark.sh ${run_mode} ${config_path} ${output} ${seed} ${ngpu} ${profiler_options} ${bs_item} ${fp_item} ${model_item} | tee ${log_path}/${log_name}_speed_8gpus8p 2>&1
|
|
|
sleep 60
|
|
|
log_name=speech_${model_item}_bs${bs_item}_${fp_item} # 如:clas_MobileNetv1_mp_bs32_fp32_8
|
|
|
echo "index is speed, 1gpus, begin, ${log_name}"
|
|
|
run_mode=sp
|
|
|
ngpu=1
|
|
|
CUDA_VISIBLE_DEVICES=0 bash ${CUR_DIR}/run_benchmark.sh ${run_mode} ${config_path} ${output} ${seed} ${ngpu} ${profiler_options} ${bs_item} ${fp_item} ${model_item} | tee ${log_path}/${log_name}_speed_1gpus 2>&1 # (5min)
|
|
|
sleep 60
|
|
|
done
|
|
|
done
|
|
|
|
|
|
popd
|
|
|
|
|
|
|
