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51 lines
1.3 KiB
Markdown
51 lines
1.3 KiB
Markdown
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[English](../../en/faq/how_to_change_backend.md) | 中文
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# 如何切换模型推理后端
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FastDeploy中各视觉模型可支持多种后端，包括
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- OpenVINO (支持Paddle/ONNX两种格式模型, 仅支持CPU上推理)
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- ONNX Runtime (支持Paddle/ONNX两种格式模型， 支持CPU/GPU）
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- TensorRT (支持Paddle/ONNX两种格式模型，仅支持GPU上推理)
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- Paddle Inference(支持Paddle格式模型， 支持CPU/GPU)
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所有模型切换后端方式均通过RuntimeOption进行切换，
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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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# 切换使用CPU/GPU
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option.use_cpu()
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option.use_gpu()
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# 切换不同后端
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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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// 切换使用CPU/GPU
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option.UseCpu();
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option.UseGpu();
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// 切换不同后端
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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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具体示例可参阅`FastDeploy/examples/vision`下不同模型的python或c++推理代码
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更多`RuntimeOption`的配置方式查阅FastDeploy API文档
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- [Python API]()
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- [C++ API]()
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