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Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.
Passed 21 of 22 test cases with the skill, and 11 of 22 without it.
and 12 more in the full report
10 fixed11 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Once a LiteRT model is loaded into MATLAB during interactive testing, what function is called to run inference with input tensors on the loaded model instance?
| Checked | Without skill | With skill |
|---|---|---|
| Calls the invoke function on the loaded LiteRT model object | Missed | Passed |
The instructions your model reads when the skill loads.
Generate deployable C/C++ or CUDA code from an AI model using MATLAB Coder or GPU Coder. The workflow follows a common pattern regardless of model framework: load, inspect, write entry-point, generate MEX, verify, then generate production code.
importNetworkFromPyTorch (PyTorch), importNetworkFromTensorFlow (SavedModel), or importNetworkFromKeras (.keras/.h5) which return a dlnetwork. For deployment of an editable dlnetwork with model compression (INT8 quantization via dlquantizer, pruning, projection) or exportNetworkToSimulink workflows — use matlab-deploy-embedded-ai (Pattern 1).| Framework | Model format | Load function | Status |
|---|---|---|---|
| PyTorch | .pt2 | loadPyTorchExportedProgram | Supported (R2026a+) |
| LiteRT / TFLite | .tflite | loadLiteRTModel | Supported (R2026a+) |
For PyTorch-specific details (API routing, entry-point pattern, export workflow,
data layout, common mistakes): see references/pytorch-workflow.md.
For LiteRT-specific details (API routing, entry-point pattern, variable-size inputs,
Simulink integration, conventions): see references/litert-workflow.md.
For converting TensorFlow/Keras/.h5 to .tflite: see
references/tensorflow-to-litert-conversion.md.
The code generation workflow follows the same steps for any framework:
test cases passed, vs 11 / 22 without
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