matlab-deploy-ai-model
bymatlab· 88 skills
Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder. Use when the user wants to integrate an AI model into an application with code generation as the end goal — generating MEX, CUDA MEX, static library, dynamic library, or executable. Currently covers PyTorch ExportedProgram (.pt2) via loadPyTorchExportedProgram; LiteRT support planned. Keywords: PyTorch, torch, .pt2, ExportedProgram, loadPyTorchExportedProgram, invoke, codegen, MEX, CUDA, GPU, C, C++, deploy, AI model, deep learning model, LiteRT, TFLite, TensorFlow Lite.
How to install matlab-deploy-ai-model?
matlab/matlab-agentic-toolkit/matlab-deploy-ai-model
$npx -y skills add matlab/matlab-agentic-toolkit --skill matlab-deploy-ai-modelInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/matlab/matlab-agentic-toolkit" --skill "matlab/matlab-agentic-toolkit/matlab-deploy-ai-model"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/matlab/matlab-agentic-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/matlab/matlab-agentic-toolkit"` and select the relevant skills, then follow their instructions.
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