From e4454e311324b9ce40f5b38a796946323334a62f Mon Sep 17 00:00:00 2001 From: TeslaZhao Date: Mon, 22 Feb 2021 19:34:54 +0800 Subject: [PATCH] Update DESIGN_DOC.md Update doc --- doc/DESIGN_DOC.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/DESIGN_DOC.md b/doc/DESIGN_DOC.md index 6f971857..d0c66a97 100644 --- a/doc/DESIGN_DOC.md +++ b/doc/DESIGN_DOC.md @@ -70,7 +70,7 @@ The inference framework of the well-known deep learning platform only supports C > Model conversion across deep learning platforms -Models trained on other deep learning platforms can be passed《[PaddlePaddle/X2Paddle工具](https://github.com/PaddlePaddle/X2Paddle)》.We convert multiple mainstream CV models to Paddle models. TensorFlow, Caffe, ONNX, PyTorch model conversion is tested.《[An End-to-end Tutorial from Training to Inference Service Deployment](TRAIN_TO_SERVICE.md) +Models trained on other deep learning platforms can be passed《[PaddlePaddle/X2Paddle工具](https://github.com/PaddlePaddle/X2Paddle)》.We convert multiple mainstream CV models to Paddle models. TensorFlow, Caffe, ONNX, PyTorch model conversion is tested.《[An End-to-end Tutorial from Training to Inference Service Deployment](TRAIN_TO_SERVICE.md)》 Because it is impossible to directly view the feed and fetch parameter information in the model file, it is not convenient for users to assemble the parameters. Therefore, Paddle Serving developed a tool to convert the Paddle model into Serving format and generate a prototxt file containing feed and fetch parameter information. The following figure is the generated prototxt file of the uci_housing example. For more conversion methods, refer to the document《[How to save a servable model of Paddle Serving?](SAVE.md)》. ``` -- GitLab