174 lines
7.7 KiB
Bash
174 lines
7.7 KiB
Bash
#!/bin/bash
|
|
source tests/common_func.sh
|
|
|
|
FILENAME=$1
|
|
dataline=$(awk 'NR==1, NR==51{print}' $FILENAME)
|
|
|
|
# parser params
|
|
IFS=$'\n'
|
|
lines=(${dataline})
|
|
|
|
# The training params
|
|
model_name=$(func_parser_value "${lines[1]}")
|
|
python=$(func_parser_value "${lines[2]}")
|
|
gpu_list=$(func_parser_value "${lines[3]}")
|
|
train_use_gpu_key=$(func_parser_key "${lines[4]}")
|
|
train_use_gpu_value=$(func_parser_value "${lines[4]}")
|
|
autocast_list=$(func_parser_value "${lines[5]}")
|
|
autocast_key=$(func_parser_key "${lines[5]}")
|
|
epoch_key=$(func_parser_key "${lines[6]}")
|
|
epoch_num=$(func_parser_params "${lines[6]}")
|
|
save_model_key=$(func_parser_key "${lines[7]}")
|
|
train_batch_key=$(func_parser_key "${lines[8]}")
|
|
train_batch_value=$(func_parser_params "${lines[8]}")
|
|
pretrain_model_key=$(func_parser_key "${lines[9]}")
|
|
pretrain_model_value=$(func_parser_value "${lines[9]}")
|
|
train_model_name=$(func_parser_value "${lines[10]}")
|
|
train_infer_img_dir=$(func_parser_value "${lines[11]}")
|
|
train_param_key1=$(func_parser_key "${lines[12]}")
|
|
train_param_value1=$(func_parser_value "${lines[12]}")
|
|
|
|
trainer_list=$(func_parser_value "${lines[14]}")
|
|
trainer_norm=$(func_parser_key "${lines[15]}")
|
|
norm_trainer=$(func_parser_value "${lines[15]}")
|
|
pact_key=$(func_parser_key "${lines[16]}")
|
|
pact_trainer=$(func_parser_value "${lines[16]}")
|
|
fpgm_key=$(func_parser_key "${lines[17]}")
|
|
fpgm_trainer=$(func_parser_value "${lines[17]}")
|
|
distill_key=$(func_parser_key "${lines[18]}")
|
|
distill_trainer=$(func_parser_value "${lines[18]}")
|
|
trainer_key1=$(func_parser_key "${lines[19]}")
|
|
trainer_value1=$(func_parser_value "${lines[19]}")
|
|
trainer_key2=$(func_parser_key "${lines[20]}")
|
|
trainer_value2=$(func_parser_value "${lines[20]}")
|
|
|
|
eval_py=$(func_parser_value "${lines[23]}")
|
|
eval_key1=$(func_parser_key "${lines[24]}")
|
|
eval_value1=$(func_parser_value "${lines[24]}")
|
|
|
|
save_infer_key=$(func_parser_key "${lines[27]}")
|
|
export_weight=$(func_parser_key "${lines[28]}")
|
|
norm_export=$(func_parser_value "${lines[29]}")
|
|
pact_export=$(func_parser_value "${lines[30]}")
|
|
fpgm_export=$(func_parser_value "${lines[31]}")
|
|
distill_export=$(func_parser_value "${lines[32]}")
|
|
export_key1=$(func_parser_key "${lines[33]}")
|
|
export_value1=$(func_parser_value "${lines[33]}")
|
|
export_key2=$(func_parser_key "${lines[34]}")
|
|
export_value2=$(func_parser_value "${lines[34]}")
|
|
|
|
# parser inference model
|
|
infer_model_dir_list=$(func_parser_value "${lines[36]}")
|
|
infer_export_list=$(func_parser_value "${lines[37]}")
|
|
infer_is_quant=$(func_parser_value "${lines[38]}")
|
|
# parser inference
|
|
inference_py=$(func_parser_value "${lines[39]}")
|
|
use_gpu_key=$(func_parser_key "${lines[40]}")
|
|
use_gpu_list=$(func_parser_value "${lines[40]}")
|
|
use_mkldnn_key=$(func_parser_key "${lines[41]}")
|
|
use_mkldnn_list=$(func_parser_value "${lines[41]}")
|
|
cpu_threads_key=$(func_parser_key "${lines[42]}")
|
|
cpu_threads_list=$(func_parser_value "${lines[42]}")
|
|
batch_size_key=$(func_parser_key "${lines[43]}")
|
|
batch_size_list=$(func_parser_value "${lines[43]}")
|
|
use_trt_key=$(func_parser_key "${lines[44]}")
|
|
use_trt_list=$(func_parser_value "${lines[44]}")
|
|
precision_key=$(func_parser_key "${lines[45]}")
|
|
precision_list=$(func_parser_value "${lines[45]}")
|
|
infer_model_key=$(func_parser_key "${lines[46]}")
|
|
image_dir_key=$(func_parser_key "${lines[47]}")
|
|
infer_img_dir=$(func_parser_value "${lines[47]}")
|
|
save_log_key=$(func_parser_key "${lines[48]}")
|
|
benchmark_key=$(func_parser_key "${lines[49]}")
|
|
benchmark_value=$(func_parser_value "${lines[49]}")
|
|
infer_key1=$(func_parser_key "${lines[50]}")
|
|
infer_value1=$(func_parser_value "${lines[50]}")
|
|
|
|
|
|
LOG_PATH="./tests/output"
|
|
mkdir -p ${LOG_PATH}
|
|
status_log="${LOG_PATH}/results_python.log"
|
|
|
|
|
|
function func_inference(){
|
|
IFS='|'
|
|
_python=$1
|
|
_script=$2
|
|
_model_dir=$3
|
|
_log_path=$4
|
|
_img_dir=$5
|
|
_flag_quant=$6
|
|
# inference
|
|
for use_gpu in ${use_gpu_list[*]}; do
|
|
if [ ${use_gpu} = "False" ] || [ ${use_gpu} = "cpu" ]; then
|
|
for use_mkldnn in ${use_mkldnn_list[*]}; do
|
|
if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then
|
|
continue
|
|
fi
|
|
for threads in ${cpu_threads_list[*]}; do
|
|
for batch_size in ${batch_size_list[*]}; do
|
|
_save_log_path="${_log_path}/infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_batchsize_${batch_size}.log"
|
|
set_infer_data=$(func_set_params "${image_dir_key}" "${_img_dir}")
|
|
set_benchmark=$(func_set_params "${benchmark_key}" "${benchmark_value}")
|
|
set_batchsize=$(func_set_params "${batch_size_key}" "${batch_size}")
|
|
set_cpu_threads=$(func_set_params "${cpu_threads_key}" "${threads}")
|
|
set_model_dir=$(func_set_params "${infer_model_key}" "${_model_dir}")
|
|
set_infer_params1=$(func_set_params "${infer_key1}" "${infer_value1}")
|
|
command="${_python} ${_script} ${use_gpu_key}=${use_gpu} ${use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_infer_params1} > ${_save_log_path} 2>&1 "
|
|
eval $command
|
|
last_status=${PIPESTATUS[0]}
|
|
eval "cat ${_save_log_path}"
|
|
status_check $last_status "${command}" "${status_log}"
|
|
done
|
|
done
|
|
done
|
|
elif [ ${use_gpu} = "True" ] || [ ${use_gpu} = "gpu" ]; then
|
|
for use_trt in ${use_trt_list[*]}; do
|
|
for precision in ${precision_list[*]}; do
|
|
if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
|
|
continue
|
|
fi
|
|
if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
|
|
continue
|
|
fi
|
|
if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [ ${_flag_quant} = "True" ]; then
|
|
continue
|
|
fi
|
|
for batch_size in ${batch_size_list[*]}; do
|
|
_save_log_path="${_log_path}/infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log"
|
|
set_infer_data=$(func_set_params "${image_dir_key}" "${_img_dir}")
|
|
set_benchmark=$(func_set_params "${benchmark_key}" "${benchmark_value}")
|
|
set_batchsize=$(func_set_params "${batch_size_key}" "${batch_size}")
|
|
set_tensorrt=$(func_set_params "${use_trt_key}" "${use_trt}")
|
|
set_precision=$(func_set_params "${precision_key}" "${precision}")
|
|
set_model_dir=$(func_set_params "${infer_model_key}" "${_model_dir}")
|
|
set_infer_params1=$(func_set_params "${infer_key1}" "${infer_value1}")
|
|
command="${_python} ${_script} ${use_gpu_key}=${use_gpu} ${set_tensorrt} ${set_precision} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_infer_params1} > ${_save_log_path} 2>&1 "
|
|
eval $command
|
|
last_status=${PIPESTATUS[0]}
|
|
eval "cat ${_save_log_path}"
|
|
status_check $last_status "${command}" "${status_log}"
|
|
|
|
done
|
|
done
|
|
done
|
|
else
|
|
echo "Does not support hardware other than CPU and GPU Currently!"
|
|
fi
|
|
done
|
|
}
|
|
|
|
|
|
# set cuda device
|
|
GPUID=$2
|
|
if [ ${#GPUID} -le 0 ];then
|
|
env=" "
|
|
else
|
|
env="export CUDA_VISIBLE_DEVICES=${GPUID}"
|
|
fi
|
|
set CUDA_VISIBLE_DEVICES
|
|
eval $env
|
|
|
|
|
|
echo "################### run test ###################"
|