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add hardware support description for Paddle models (#9731)

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* add hardware support description for Paddle models

* fix 'Fast-SCNN' name
This commit is contained in:
Bo Liu
2022-01-18 23:40:03 +08:00
committed by GitHub
parent d09c09d9fd
commit d520e5558f
2 changed files with 2 additions and 2 deletions
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docs/IE_DG/Paddle_Support.md
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@@ -47,6 +47,6 @@ If a Paddle model contains dynamic shapes for input, use the `CNNNetwork::reshap
## NOTES
* The Paddle [`inference model`](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.1/doc/doc_en/inference_en.md) mainly contains two kinds of files `model.pdmodel`(model file) and `model.pdiparams`(params file), which are used for inference.
* The list of supported Paddle models and a description of how to export them can be found in [Convert a Paddle Model](../MO_DG/prepare_model/convert_model/Convert_Model_From_Paddle.md).
* The list of supported Paddle models and a description of how to export them can be found in [Convert a Paddle Model](../MO_DG/prepare_model/convert_model/Convert_Model_From_Paddle.md). The following Paddle models are supported by intel CPU only: `Fast-SCNN`, `Yolo v3`, `ppyolo`, `MobileNetv3-SSD`, `BERT`.
* For `Normalize` Paddle Models, the input data should be in FP32 format.
* When reading Paddle models from The Paddle format, make sure that `model.pdmodel` and `model.pdiparams` are in the same folder directory.

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docs/MO_DG/prepare_model/convert_model/Convert_Model_From_Paddle.md
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@@ -18,7 +18,7 @@ A summary of the steps for optimizing and deploying a model trained with Paddle\
|MobileNet v3| classification| Models are exported from [PaddleClas](https://github.com/PaddlePaddle/PaddleClas/tree/release/2.1/). Refer to [getting_started_en.md](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.1/docs/en/tutorials/getting_started_en.md#4-use-the-inference-model-to-predict)|
|BiSeNet v2| semantic segmentation| Models are exported from [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1). Refer to [model_export.md](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.1/docs/model_export.md#)|
|DeepLab v3 plus| semantic segmentation| Models are exported from [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1). Refer to [model_export.md](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.1/docs/model_export.md#)|
|Faster-SCNN| semantic segmentation| Models are exported from [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1). Refer to [model_export.md](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.1/docs/model_export.md#)|
|Fast-SCNN| semantic segmentation| Models are exported from [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1). Refer to [model_export.md](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.1/docs/model_export.md#)|
|OCRNET| semantic segmentation| Models are exported from [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.1). Refer to [model_export.md](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.1/docs/model_export.md#)|
|Yolo v3| detection| Models are exported from [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1). Refer to [EXPORT_MODEL.md](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/deploy/EXPORT_MODEL.md#).|
|ppyolo| detection| Models are exported from [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1). Refer to [EXPORT_MODEL.md](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/deploy/EXPORT_MODEL.md#).|