Model Compatibility and Network Support Capability of MNN
The MNN framework has powerful model compatibility, supporting mainstream deep learning model formats such as TensorFlow, Caffe, ONNX and TorchScript. With the MNNConvert tool, developers can conveniently convert models in these formats to MNN-specific formats. In terms of model support, MNN covers 178 TensorFlow operations and 158 ONNX operations, which can meet the needs of most application scenarios.
In terms of neural network support, MNN has comprehensive architecture adaptation capabilities. In addition to traditional CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network), it also supports advanced network structures such as GAN (Generative Adversarial Network) and Transformer. With the MNN-Express extension, the framework can also handle models containing complex control flows, greatly improving the flexibility of application development.
This answer comes from the articleMNN: A Lightweight and Efficient Deep Learning Inference FrameworkThe
