Deep Learning Code Generation from Simulink Applications - MATLAB & Simulink (original) (raw)

Main Content

Generate C/C++ and GPU code for deployment on desktop or embedded targets

Generate code for pretrained deep neural networks. You can accelerate the simulation of your algorithms in Simulink® by using different execution environments. By using support packages, you can also generate and deploy C/C++ and CUDA® code on target hardware.

Model Settings

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Simulation Acceleration

Model Configuration Parameters: Simulation Target (Simulink)
Model Configuration Parameters: GPU Acceleration (GPU Coder)

General Code Configuration

Model Configuration Parameters: Code Generation Optimization (GPU Coder)
Model Configuration Parameters: Code Generation Report (GPU Coder)
Model Configuration Parameters: Comments (GPU Coder)
Model Configuration Parameters: Code Generation Custom Code (GPU Coder)
Model Configuration Parameters: Code Generation Interface (GPU Coder)

GPU Code Configuration

Model Configuration Parameters: Code Generation (GPU Coder)
Model Configuration Parameters: GPU Code (GPU Coder)
Model Configuration Parameters: Code Generation Identifiers (GPU Coder)

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