Merge pull request #1551 from mmglove/develop

[tests] fix benchmark

tests/test_tipc/benchmark_train.sh

@@ -141,7 +141,6 @@ else
     batch_size=${params_list[1]}
     batch_size=`echo  ${batch_size} | tr -cd "[0-9]" `
     precision=${params_list[2]}
-    # run_process_type=${params_list[3]}
     run_mode=${params_list[3]}
     device_num=${params_list[4]}
     IFS=";"
@@ -166,10 +165,9 @@ for batch_size in ${batch_size_list[*]}; do
             gpu_id=$(set_gpu_id $device_num)
 
             if [ ${#gpu_id} -le 1 ];then
-                run_process_type="SingleP"
                 log_path="$SAVE_LOG/profiling_log"
                 mkdir -p $log_path
-                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_profiling"
+                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_profiling"
                 func_sed_params "$FILENAME" "${line_gpuid}" "0"  # sed used gpu_id 
                 # set profile_option params
                 tmp=`sed -i "${line_profile}s/.*/${profile_option}/" "${FILENAME}"`
@@ -185,8 +183,8 @@ for batch_size in ${batch_size_list[*]}; do
                 speed_log_path="$SAVE_LOG/index"
                 mkdir -p $log_path
                 mkdir -p $speed_log_path
-                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_log"
-                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_speed"
+                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_log"
+                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_speed"
                 func_sed_params "$FILENAME" "${line_profile}" "null"  # sed profile_id as null
                 cmd="bash test_tipc/test_train_inference_python.sh ${FILENAME} benchmark_train > ${log_path}/${log_name} 2>&1 "
                 echo $cmd
@@ -197,13 +195,12 @@ for batch_size in ${batch_size_list[*]}; do
                 eval "cat ${log_path}/${log_name}"
 
                 # parser log
-                _model_name="${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}"
+                _model_name="${model_name}_bs${batch_size}_${precision}_${run_mode}"
                 cmd="${python} ${BENCHMARK_ROOT}/scripts/analysis.py --filename ${log_path}/${log_name} \
                         --speed_log_file '${speed_log_path}/${speed_log_name}' \
                         --model_name ${_model_name} \
                         --base_batch_size ${batch_size} \
                         --run_mode ${run_mode} \
-                        --run_process_type ${run_process_type} \
                         --fp_item ${precision} \
                         --keyword ips: \
                         --skip_steps 2 \
@@ -217,13 +214,12 @@ for batch_size in ${batch_size_list[*]}; do
             else
                 IFS=";"
                 unset_env=`unset CUDA_VISIBLE_DEVICES`
-                run_process_type="MultiP"
                 log_path="$SAVE_LOG/train_log"
                 speed_log_path="$SAVE_LOG/index"
                 mkdir -p $log_path
                 mkdir -p $speed_log_path
-                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_log"
-                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}_${device_num}_speed"
+                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_log"
+                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_speed"
                 func_sed_params "$FILENAME" "${line_gpuid}" "$gpu_id"  # sed used gpu_id 
                 func_sed_params "$FILENAME" "${line_profile}" "null"  # sed --profile_option as null
                 cmd="bash test_tipc/test_train_inference_python.sh ${FILENAME} benchmark_train > ${log_path}/${log_name} 2>&1 "
@@ -234,14 +230,13 @@ for batch_size in ${batch_size_list[*]}; do
                 export model_run_time=$((${job_et}-${job_bt}))
                 eval "cat ${log_path}/${log_name}"
                 # parser log
-                _model_name="${model_name}_bs${batch_size}_${precision}_${run_process_type}_${run_mode}"
+                _model_name="${model_name}_bs${batch_size}_${precision}_${run_mode}"
                 
                 cmd="${python} ${BENCHMARK_ROOT}/scripts/analysis.py --filename ${log_path}/${log_name} \
                         --speed_log_file '${speed_log_path}/${speed_log_name}' \
                         --model_name ${_model_name} \
                         --base_batch_size ${batch_size} \
                         --run_mode ${run_mode} \
-                        --run_process_type ${run_process_type} \
                         --fp_item ${precision} \
                         --keyword ips: \
                         --skip_steps 2 \

tests/test_tipc/prepare.sh

@@ -26,8 +26,10 @@ if [ ${MODE} = "benchmark_train" ];then
     curPath=$(readlink -f "$(dirname "$0")")
         echo "curPath:"${curPath}
     cd ${curPath}/../..
-    apt-get install libsndfile1
-    pip install pytest-runner kaldiio setuptools_scm -i https://pypi.tuna.tsinghua.edu.cn/simple 
+    apt-get install libsndfile1 -y 
+    pip install pytest-runner  -i https://pypi.tuna.tsinghua.edu.cn/simple
+    pip install kaldiio  -i https://pypi.tuna.tsinghua.edu.cn/simple
+    pip install setuptools_scm -i https://pypi.tuna.tsinghua.edu.cn/simple 
     pip install . -i https://pypi.tuna.tsinghua.edu.cn/simple 
     cd -
     if [ ${model_name} == "conformer" ]; then