# Matlab Import External AI Model

Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as...

- Repository: https://github.com/matlab/matlab-agentic-toolkit (1237 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -g -a claude-code -y`
Codex: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -g -a codex -y`
Cursor: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -g -a cursor -y`
Gemini CLI: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-external-ai-model -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add matlab/matlab-agentic-toolkit`

## Description

Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. Use when importing .pt2 exported programs, traced .pt files, .onnx models, or Keras 3 models via matlabsaver. Covers importNetworkFromPyTorch, importNetworkFromONNX, importNetworkFromKeras, importNetworkFromTensorFlow, torch.export.export, PyTorchInputSizes, InputDataFormats, matlabsaver, tf_keras downgrade, numeric validation against PyTorch or ONNX Runtime, and placeholder/custom layer implementation. Applies when user mentions any of these functions, file formats, or encounters import errors, unsupported operator warnings, 0 learnables, or uninitialized networks.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Import Deep Learning Models into MATLAB

Import trained PyTorch, ONNX, or Keras 3 models into MATLAB as `dlnetwork`
objects and verify numerical correctness.

## When to Use

- User wants to import a deep learning model from PyTorch, ONNX, or Keras/TensorFlow
- User has `.pt2`, `.pt`, `.onnx`, or `.keras` files to bring into MATLAB
- User mentions `importNetworkFromPyTorch`, `importNetworkFromONNX`, `importNetworkFromKeras`, or `importNetworkFromTensorFlow`
- User mentions `torch.export.export`, `torch.jit.trace`, `PyTorchInputSizes`, `InputDataFormats`, or `matlabsaver`
- User encounters import errors, unsupported operator warnings, uninitialized networks, or 0 learnables after import
- User wants to validate that an imported model matches the source framework's outputs

## When NOT to Use

- Exporting MATLAB networks to ONNX/PyTorch (use `exportONNXNetwork` / `exportNetworkToPyTorch`)
- Training or fine-tuning after import, use `/matlab-train-network`
- Deploying to embedded hardware, use `/matlab-deploy-embedded-ai`
- Simulink integration after import (agent handles this well without guidance)

## Router: Which Framework?

```
Q: What format is the source model?
 |
 +-- .pt2 (PyTorch exported program) ──────────> PYTORCH IMPORT below
 +-- .pt (PyTorch traced model) ───────────────> PYTORCH IMPORT below
 +-- .onnx ────────────────────────────────────> ONNX IMPORT below
 +-- .keras / TensorFlow 2.16+ / matlabsaver ──> KERAS IMPORT below
 +-- Unknown ("import my model") ──────────────> Ask: framework? file extension?
```

---

## PyTorch Import

Full pipeline: export from PyTorch → import into MATLAB → validate numerics.

### Determine Starting Point

| User has | Action |
|----------|--------|
| PyTorch model (code or saved) | Export as .pt2 first → see `references/pytorch-export-guidance.md` |
| `.pt2` file (exported program) | Import directly (below) |
| `.pt` file (traced model) | Import with input sizes (below) |

The rest: https://github.com/matlab/matlab-agentic-toolkit/blob/HEAD/skills-catalog/ai-and-statistics/matlab-import-external-ai-model/SKILL.md