mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-10-31 09:49:30 +00:00
64 lines
3.8 KiB
Markdown
64 lines
3.8 KiB
Markdown
# PaddleServing预测功能测试
|
||
|
||
PaddleServing预测功能测试的主程序为`test_serving_infer_python.sh`和`test_serving_infer_cpp.sh`，可以测试基于PaddleServing的部署功能。
|
||
|
||
## 1. 测试结论汇总
|
||
|
||
基于训练是否使用量化，进行本测试的模型可以分为`正常模型`和`量化模型`，这两类模型对应的Serving预测功能汇总如下：
|
||
|
||
| 模型类型 |device | batchsize | tensorrt | mkldnn | cpu多线程 |
|
||
| ---- | ---- | ---- | :----: | :----: | :----: |
|
||
| 正常模型 | GPU | 1/6 | fp32/fp16 | - | - |
|
||
| 正常模型 | CPU | 1/6 | - | fp32 | 支持 |
|
||
| 量化模型 | GPU | 1/6 | int8 | - | - |
|
||
| 量化模型 | CPU | 1/6 | - | int8 | 支持 |
|
||
|
||
## 2. 测试流程
|
||
运行环境配置请参考[文档](./install.md)的内容配置TIPC的运行环境。
|
||
|
||
### 2.1 功能测试
|
||
**python serving**
|
||
先运行`prepare.sh`准备数据和模型，然后运行`test_serving_infer_python.sh`进行测试，最终在```test_tipc/output/{model_name}/serving_infer/python```目录下生成`python_*.log`后缀的日志文件。
|
||
|
||
```shell
|
||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_PP-OCRv2/model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt "serving_infer"
|
||
|
||
# 用法:
|
||
bash test_tipc/test_serving_infer_python.sh ./test_tipc/configs/ch_PP-OCRv2/model_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt "serving_infer"
|
||
```
|
||
**cpp serving**
|
||
先运行`prepare.sh`准备数据和模型，然后运行`test_serving_infer_cpp.sh`进行测试，最终在```test_tipc/output/{model_name}/serving_infer/cpp```目录下生成`cpp_*.log`后缀的日志文件。
|
||
|
||
```shell
|
||
bash test_tipc/prepare.sh ./test_tipc/configs/ch_PP-OCRv2/model_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt "serving_infer"
|
||
|
||
# 用法:
|
||
bash test_tipc/test_serving_infer_cpp.sh ./test_tipc/configs/ch_PP-OCRv2/model_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt "serving_infer"
|
||
```
|
||
|
||
#### 运行结果
|
||
|
||
各测试的运行情况会打印在 `test_tipc/output/{model_name}/serving_infer/python(cpp)/results_python(cpp)_serving.log` 中：
|
||
运行成功时会输出：
|
||
|
||
```
|
||
Run successfully with command - ch_PP-OCRv2_rec - nohup python3.7 web_service_rec.py --config=config.yml --opt op.rec.concurrency="1" op.det.local_service_conf.devices= op.det.local_service_conf.use_mkldnn=False op.det.local_service_conf.thread_num=6 op.rec.local_service_conf.model_config=ppocr_rec_v2_serving > ./test_tipc/output/ch_PP-OCRv2_rec/serving_infer/python/python_server_cpu_usemkldnn_False_threads_6.log 2>&1 &!
|
||
Run successfully with command - ch_PP-OCRv2_rec - python3.7 pipeline_http_client.py --det=False --image_dir=../../inference/rec_inference > ./test_tipc/output/ch_PP-OCRv2_rec/serving_infer/python/python_client_cpu_pipeline_http_usemkldnn_False_threads_6_batchsize_1.log 2>&1 !
|
||
...
|
||
```
|
||
|
||
运行失败时会输出：
|
||
|
||
```
|
||
Run failed with command - ch_PP-OCRv2_rec - nohup python3.7 web_service_rec.py --config=config.yml --opt op.rec.concurrency="1" op.det.local_service_conf.devices= op.det.local_service_conf.use_mkldnn=False op.det.local_service_conf.thread_num=6 op.rec.local_service_conf.model_config=ppocr_rec_v2_serving > ./test_tipc/output/ch_PP-OCRv2_rec/serving_infer/python/python_server_cpu_usemkldnn_False_threads_6.log 2>&1 &!
|
||
Run failed with command - ch_PP-OCRv2_rec - python3.7 pipeline_http_client.py --det=False --image_dir=../../inference/rec_inference > ./test_tipc/output/ch_PP-OCRv2_rec/serving_infer/python/python_client_cpu_pipeline_http_usemkldnn_False_threads_6_batchsize_1.log 2>&1 !
|
||
...
|
||
```
|
||
|
||
详细的预测结果会存在 test_tipc/output/{model_name}/serving_infer/python(cpp)/ 文件夹下
|
||
|
||
|
||
## 3. 更多教程
|
||
|
||
本文档为功能测试用，更详细的Serving预测使用教程请参考：[PPOCR 服务化部署](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/deploy/pdserving/README_CN.md)
|