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A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)

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paddle相关安装包如下: /home/pdemo pip3 list|grep paddle grep: warning: GREP_OPTIONS is deprecated; please use an alias or script paddle-bfloat 0.1.7 paddle-serving-app 0.9.0 paddle-serving-client 0.9.0 paddle-serving-server-gpu 0.9.0.post112 paddlepaddle-gpu 2.4.2.post112 以/Serving/tree/v0.9.0/examples/Pipeline/ppyolo_mbv3/为例,web_service.py输出如下: grep: warning: GREP_OPTIONS...

paddleocr的serving部署方式下,发起预测触发core dump报错 ![image](https://user-images.githubusercontent.com/11955508/225275639-9ea26d4d-26f8-4f4f-be4d-8fb28a9eaee7.png) 环境: `docker image:paddlepaddle/paddle:2.4.2-gpu-cuda11.2-cudnn8.2-trt8.0` 驱动信息: ![image](https://user-images.githubusercontent.com/11955508/225267252-736da64e-f089-403a-81e4-5ae35e115adc.png) ``` paddle版本: paddle-bfloat 0.1.2 paddle-serving-app 0.9.0 paddle-serving-client 0.9.0 paddle-serving-server-gpu 0.9.0.post112 paddlepaddle-gpu 2.3.0.post112 ``` 运行参数 ``` Dir:Serving/examples/C++/PaddleOCR/ocr serving:python3 -m paddle_serving_server.serve --model ocr_det_model ocr_rec_model...

python -m paddle_serving_server.serve --model SERVING_SERVER_DIR --thread 10 --port 9393 --gpu_id 0 执行上面命令报以下错误 Error Message Summary: ---------------------- NotFoundError: Operator (fusion_mbart_decoding) is not registered. [Hint: op_info_ptr should not be null.] (at /paddle/paddle/fluid/framework/op_info.h:151)

paddle-serving-app 0.9.0 paddle-serving-client 0.9.0 paddle-serving-server 0.9.0 paddlepaddle 2.4.2 Linux ubuntu 20.04 你好,我现在有100个独立的模型,我想为这100个独立的模型同时启动推理服务,我尝试了pipline和web service,但是还是占用资源太大了,模型本身并不大,只是模型之外的框架解释器之类的占用太多了,我应该怎末启动服务才能最节省内存资源?期待您的回复

InvalidArgumentError: Broadcast dimension mismatch. Operands could not be broadcast together with the shape of X = [1, 361, 1024] and the shape of Y = [1, 400, 1024]. Received [361]...

我想将fasttext用paddleserving部署,只是借用paddleserving的高并发处理能力,不知道该怎么部署,能指点下吗?

当serving的server端接收到client发送的数据转换不成所需要的数据类型时,server会自动退出,这种bug不可理喻!

``` paddle_serving_server.pipeline.error_catch.CustomException: exception_code: 3003 exception_type: INIT_ERROR error_msg: pipeline server init error is_send_to_user: False Traceback (most recent call last): File "web_service.py", line 77, in fasterrcnn_service.run_service() File "/Users/geng/opt/miniconda3/envs/ppdet/lib/python3.8/site-packages/paddle_serving_server/web_service.py", line 69, in run_service...

Hi, The quick start document shows deployment of paddleocr detection and recognition models. Is it possible to deploy table recognition model as well ? following similar steps as for det...

我用 serving的docker镜像编译serving竟然编译失败了!我使用的镜像是 registry.baidubce.com/paddlepaddle/serving:0.9.0-devel 这是我的日志 [编译.txt](https://github.com/PaddlePaddle/Serving/files/10799546/default.txt)