Code Generation for PyTorch and LiteRT Models

Generate C, C++, and CUDA code for PyTorch® ExportedProgram and LiteRT models
Since R2026a

With MATLAB® Coder™ Support Package for PyTorch and LiteRT Models, you can:

  • Load PyTorch ExportedProgram and LiteRT (TensorFlow Lite or TFLite) models to MATLAB code and Simulink® models. You can load a variety of pretrained deep learning networks, including YOLOv11, Whisper, DINOv2, Depth Anything, and SAM2.

  • Generate code for TensorFlow or Keras models by converting them to LiteRT format.

  • Generate and deploy target-independent C and C++ code for PyTorch ExportedProgram and LiteRT models.

  • Generate optimized plain CUDA® code by using GPU Coder™.

  • Use code replacement libraries to incorporate processor-specific intrinsics for target hardware.

This support package is not supported on MATLAB Online™.

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