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Unverified Commit d128c1df authored by Double_V's avatar Double_V Committed by GitHub
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Merge pull request #4381 from LDOUBLEV/test_v10 

add precision to mkldnn
parents 37331199 e807027a
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Showing with 25 additions and 18 deletions
PTDN/test_train_inference_python.sh
View file @ d128c1df
...@@ -141,22 +141,28 @@ function func_inference(){ ...@@ -141,22 +141,28 @@ function func_inference(){
fi fi
for threads in ${cpu_threads_list[*]}; do for threads in ${cpu_threads_list[*]}; do
for batch_size in ${batch_size_list[*]}; do for batch_size in ${batch_size_list[*]}; do
precison="fp32" for precision in ${precision_list[*]}; do
if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then if [ ${use_mkldnn} = "False" ] && [ ${precision} = "fp16" ]; then
precision="int8" continue
fi fi # skip when enable fp16 but disable mkldnn
_save_log_path="${_log_path}/python_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log" if [ ${_flag_quant} = "True" ] && [ ${precision} != "int8" ]; then
set_infer_data=$(func_set_params "${image_dir_key}" "${_img_dir}") continue
set_benchmark=$(func_set_params "${benchmark_key}" "${benchmark_value}") fi # skip when quant model inference but precision is not int8
set_batchsize=$(func_set_params "${batch_size_key}" "${batch_size}") set_precision=$(func_set_params "${precision_key}" "${precision}")
set_cpu_threads=$(func_set_params "${cpu_threads_key}" "${threads}")
set_model_dir=$(func_set_params "${infer_model_key}" "${_model_dir}") _save_log_path="${_log_path}/python_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log"
set_infer_params1=$(func_set_params "${infer_key1}" "${infer_value1}") set_infer_data=$(func_set_params "${image_dir_key}" "${_img_dir}")
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} > ${_save_log_path} 2>&1 " set_benchmark=$(func_set_params "${benchmark_key}" "${benchmark_value}")
eval $command set_batchsize=$(func_set_params "${batch_size_key}" "${batch_size}")
last_status=${PIPESTATUS[0]} set_cpu_threads=$(func_set_params "${cpu_threads_key}" "${threads}")
eval "cat ${_save_log_path}" set_model_dir=$(func_set_params "${infer_model_key}" "${_model_dir}")
status_check $last_status "${command}" "${status_log}" set_infer_params1=$(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_precision} ${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
done done
done done
......
tools/infer/utility.py
View file @ d128c1df
...@@ -267,10 +267,11 @@ def create_predictor(args, mode, logger): ...@@ -267,10 +267,11 @@ def create_predictor(args, mode, logger):
# cache 10 different shapes for mkldnn to avoid memory leak # cache 10 different shapes for mkldnn to avoid memory leak
config.set_mkldnn_cache_capacity(10) config.set_mkldnn_cache_capacity(10)
config.enable_mkldnn() config.enable_mkldnn()
if args.precision == "fp16":
config.enable_mkldnn_bfloat16()
# enable memory optim # enable memory optim
config.enable_memory_optim() config.enable_memory_optim()
#config.disable_glog_info() config.disable_glog_info()
config.delete_pass("conv_transpose_eltwiseadd_bn_fuse_pass") config.delete_pass("conv_transpose_eltwiseadd_bn_fuse_pass")
if mode == 'table': if mode == 'table':
......
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