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refine prepare.sh and test_paddle2onnx.sh

pull/2006/head
HydrogenSulfate 2022-06-10 16:59:42 +08:00
parent 170557980c
commit 55a066edc4
2 changed files with 4 additions and 4 deletions
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4
test_tipc/prepare.sh
View File

@ -200,7 +200,7 @@ fi
if [[ ${MODE} = "serving_infer" ]]; then
# prepare serving env
python_name=$(func_parser_value "${lines[2]}")
${python_name} -m pip install install paddle-serving-server-gpu==0.7.0.post102
${python_name} -m pip install paddle-serving-server-gpu==0.7.0.post102
${python_name} -m pip install paddle_serving_client==0.7.0
${python_name} -m pip install paddle-serving-app==0.7.0
if [[ ${model_name} =~ "ShiTu" ]]; then
@ -231,7 +231,7 @@ if [[ ${MODE} = "paddle2onnx_infer" ]]; then
inference_model_url=$(func_parser_value "${lines[10]}")
tar_name=${inference_model_url##*/}
${python_name} -m pip install install paddle2onnx
${python_name} -m pip install paddle2onnx
${python_name} -m pip install onnxruntime
cd deploy
mkdir models

4
test_tipc/test_paddle2onnx.sh
View File

@ -55,7 +55,7 @@ function func_paddle2onnx(){
trans_model_cmd="${padlle2onnx_cmd} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_save_model} ${set_opset_version} ${set_enable_onnx_checker}"
eval $trans_model_cmd
last_status=${PIPESTATUS[0]}
status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}" "${model_name}"
status_check $last_status "${trans_model_cmd}" "${status_log}" "${model_name}"
# python inference
set_model_dir=$(func_set_params "${inference_model_dir_key}" "${inference_model_dir_value}")
@ -64,7 +64,7 @@ function func_paddle2onnx(){
set_inference_config=$(func_set_params "${inference_config_key}" "${inference_config_value}")
infer_model_cmd="cd deploy && ${python} ${inference_py} -o ${set_model_dir} -o ${set_use_onnx} -o ${set_hardware} ${set_inference_config} > ${_save_log_path} 2>&1 && cd ../"
eval $infer_model_cmd
status_check $last_status "${infer_model_cmd}" "${status_log}" "${model_name}" "${model_name}"
status_check $last_status "${infer_model_cmd}" "${status_log}" "${model_name}"
}