Converting a PaddlePaddle Model

To convert a PaddlePaddle model, use the mo script and specify the path to the input .pdmodel model file:

mo --input_model <INPUT_MODEL>.pdmodel

For example, this command converts a yolo v3 PaddlePaddle network to OpenVINO IR network:

mo --input_model=yolov3.pdmodel --input=image,im_shape,scale_factor --input_shape=[1,3,608,608],[1,2],[1,2] --reverse_input_channels --output=save_infer_model/scale_0.tmp_1,save_infer_model/scale_1.tmp_1

Supported PaddlePaddle Layers

For the list of supported standard layers, refer to the Supported Framework Layers page.

Officially Supported PaddlePaddle Models

The following PaddlePaddle models have been officially validated and confirmed to work (as of OpenVINO 2022.1):

Model Name	Model Type	Description
ppocr-det	optical character recognition	Models are exported from PaddleOCR. Refer to READ.md.
ppocr-rec	optical character recognition	Models are exported from PaddleOCR. Refer to READ.md.
ResNet-50	classification	Models are exported from PaddleClas. Refer to getting_started_en.md.
MobileNet v2	classification	Models are exported from PaddleClas. Refer to getting_started_en.md.
MobileNet v3	classification	Models are exported from PaddleClas. Refer to getting_started_en.md.
BiSeNet v2	semantic segmentation	Models are exported from PaddleSeg. Refer to model_export.md.
DeepLab v3 plus	semantic segmentation	Models are exported from PaddleSeg. Refer to model_export.md.
Fast-SCNN	semantic segmentation	Models are exported from PaddleSeg. Refer to model_export.md.
OCRNET	semantic segmentation	Models are exported from PaddleSeg. Refer to model_export.md.
Yolo v3	detection	Models are exported from PaddleDetection. Refer to EXPORT_MODEL.md.
ppyolo	detection	Models are exported from PaddleDetection. Refer to EXPORT_MODEL.md.
MobileNetv3-SSD	detection	Models are exported from PaddleDetection. Refer to EXPORT_MODEL.md.
U-Net	semantic segmentation	Models are exported from PaddleSeg. Refer to model_export.md.
BERT	language representation	Models are exported from PaddleNLP. Refer to README.md.

Frequently Asked Questions (FAQ)

When Model Optimizer is unable to run to completion due to typographical errors, incorrectly used options, or other issues, it provides explanatory messages. They describe the potential cause of the problem and give a link to the Model Optimizer FAQ, which provides instructions on how to resolve most issues. The FAQ also includes links to relevant sections in the Model Optimizer Developer Guide to help you understand what went wrong.

Additional Resources

See the Model Conversion Tutorials page for a set of tutorials providing step-by-step instructions for converting specific PaddlePaddle models.