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?

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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)