Converting a PaddlePaddle Model#

This page provides general instructions on how to convert a model from the PaddlePaddle format to the OpenVINO IR format using OpenVINO model conversion API. The instructions are different depending on the PaddlePaddle model format.


PaddlePaddle model serialized in a file can be loaded by openvino.Core.read_model or openvino.Core.compile_model methods by OpenVINO runtime API without preparing OpenVINO IR first. Refer to the inference example for more details. Using openvino.convert_model is still recommended if model load latency matters for the inference application.

Converting PaddlePaddle Model Files#

PaddlePaddle inference model includes .pdmodel (storing model structure) and .pdiparams (storing model weight). For details on how to export a PaddlePaddle inference model, refer to the Exporting PaddlePaddle Inference Model Chinese guide.

To convert a PaddlePaddle model, use the ovc or openvino.convert_model and specify the path to the input .pdmodel model file:

import openvino as ov
ovc your_model_file.pdmodel

For example, this command converts a YOLOv3 PaddlePaddle model to OpenVINO IR model:

import openvino as ov
ovc yolov3.pdmodel

Converting PaddlePaddle Python Model#

Model conversion API supports passing PaddlePaddle models directly in Python without saving them to files in the user code.

Following PaddlePaddle model object types are supported:

  • paddle.hapi.model.Model

  • paddle.fluid.dygraph.layers.Layer

  • paddle.fluid.executor.Executor

Some PaddlePaddle models may require setting example_input or output for conversion as shown in the examples below:

  • Example of converting paddle.hapi.model.Model format model:

    import paddle
    import openvino as ov
    # create a paddle.hapi.model.Model format model
    resnet50 =
    x = paddle.static.InputSpec([1,3,224,224], 'float32', 'x')
    y = paddle.static.InputSpec([1,1000], 'float32', 'y')
    model = paddle.Model(resnet50, x, y)
    # convert to OpenVINO IR format
    ov_model = ov.convert_model(model)
    ov.save_model(ov_model, "resnet50.xml")
  • Example of converting paddle.fluid.dygraph.layers.Layer format model:

    example_input is required while output is optional. example_input accepts the following formats:

    list with tensor (paddle.Tensor) or InputSpec (paddle.static.input.InputSpec)

    import paddle
    import openvino as ov
    # create a paddle.fluid.dygraph.layers.Layer format model
    model =
    x = paddle.rand([1,3,224,224])
    # convert to OpenVINO IR format
    ov_model = ov.convert_model(model, example_input=[x])
  • Example of converting paddle.fluid.executor.Executor format model:

    example_input and output are required, which accept the following formats:

    list or tuple with variable(

    import paddle
    import openvino as ov
    # create a paddle.fluid.executor.Executor format model
    x ="x", shape=[1,3,224])
    y ="y", shape=[1,3,224])
    relu = paddle.nn.ReLU()
    sigmoid = paddle.nn.Sigmoid()
    y = sigmoid(relu(x))
    exe = paddle.static.Executor(paddle.CPUPlace())
    # convert to OpenVINO IR format
    ov_model = ov.convert_model(exe, example_input=[x], output=[y])

Supported PaddlePaddle Layers#

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

Additional Resources#

Check out more examples of model conversion in interactive Python tutorials.