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52 lines
1.3 KiB
Markdown
52 lines
1.3 KiB
Markdown
English | [中文](../../cn/faq/how_to_change_backend.md)
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# How to Change Model Inference Backend
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FastDeploy supports various backends, including
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- OpenVINO (supports Paddle/ONNX formats, CPU inference only )
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- ONNX Runtime (supports Paddle/ONNX formats, inference on CPU/GPU)
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- TensorRT (supports Paddle/ONNX formats, GPU inference only）
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- Paddle Inference (supports Paddle format, inference on CPU/GPU)
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All models can backend via RuntimeOption
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**Python**
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```python
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import fastdeploy as fd
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option = fd.RuntimeOption()
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# Change CPU/GPU
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option.use_cpu()
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option.use_gpu()
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# Change the Backend
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option.use_paddle_backend() # Paddle Inference
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option.use_trt_backend() # TensorRT
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option.use_openvino_backend() # OpenVINO
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option.use_ort_backend() # ONNX Runtime
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```
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**C++**
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```C++
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fastdeploy::RuntimeOption option;
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// Change CPU/GPU
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option.UseCpu();
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option.UseGpu();
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// Change the Backend
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option.UsePaddleBackend(); // Paddle Inference
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option.UseTrtBackend(); // TensorRT
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option.UseOpenVINOBackend(); // OpenVINO
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option.UseOrtBackend(); // ONNX Runtime
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```
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For more specific demos, please refer to python or c++ inference code for different models under `FastDeploy/examples/vision`
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For more deployment methods, please refer to FastDeploy API tutorials.
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- [Python API]()
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- [C++ API]()
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