MNN Multi-Platform Deployment Compatibility Solution
Address compatibility challenges between iOS/Android/embedded devices:
- Harmonization of model formats:: Conversion of different framework models into standard MNN format
- Abstract Hardware Interface:: Compatibility with different devices through a computational back-end abstraction layer
- Dynamic loading mechanism:: Automatic selection of the optimal computational backend at runtime
- version management: Ensure compatibility using MNN's versioned model format
Specific implementation recommendations:
1. Specify the target platform for model conversion:
. /MNNConvert -bizCode MNN -forDevice Android
2. Automatic back-end selection at runtime:
config.backupType = MNN_FORWARD_CPU; // set the backup scheme
3. Use the MNN-Express API:
Supports control flow and conditional branching, adapting to the characteristics of different platforms
This answer comes from the articleMNN: A Lightweight and Efficient Deep Learning Inference FrameworkThe
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