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openvino/docs/IE_DG/Paddle_Support.md
Bo Liu d5a5dc1aa1 doc of paddle 2nd batch operations support (#7952)
* doc of paddle 2nd batch operations support

* Modified based on UX/DX Team feedback

* update the example command in Convert_Model_From_Paddle.m

* Apply suggestions from code review

Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>

Co-authored-by: meiyang-intel <yang.mei@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
2021-10-27 02:02:21 +03:00

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# Paddle Support in OpenVINO™ {#openvino_docs_IE_DG_Paddle_Support}
Starting from the 2022.1 release, OpenVINO™ supports reading native Paddle models.
The `Core::ReadNetwork()` method provides a uniform way to read models from either the Paddle format or IR, which is the recommended approach.
## Read Paddle Models from IR
The Paddle Model can be read after it is [converted](../MO_DG/prepare_model/convert_model/Convert_Model_From_Paddle.md) to [Intermediate Representation (IR)](../MO_DG/IR_and_opsets.md).
**C++ Example:**
```cpp
InferenceEngine::Core core;
auto network = core.ReadNetwork("model.xml");
```
**Python Example:**
```sh
from openvino.inference_engine import IECore
ie = IECore()
net = ie.read_network("model.xml")
```
## Read Paddle Models from The Paddle Format (Paddle `inference model` model type)
**C++ Example:**
```cpp
InferenceEngine::Core core;
auto network = core.ReadNetwork("model.pdmodel");
```
**Python Example:**
```sh
from openvino.inference_engine import IECore
ie = IECore()
net = ie.read_network("model.pdmodel")
```
**The Reshape feature:**
OpenVINO™ does not provide a mechanism to specify pre-processing, such as mean values subtraction or reverse input channels, for the Paddle format.
If a Paddle model contains dynamic shapes for input, use the `CNNNetwork::reshape` method for shape specialization.
## 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).
* 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.