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converting-pytorch-to-litert

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Converts PyTorch models (e.g. ResNet, timm, HuggingFace transformers) directly to LiteRT (.tflite) flatbuffer format. Use when converting PyTorch models to TFLite, setting up export environments, or troubleshooting torch-to-litert conversion bugs. Don't use for ONNX exports or converting existing TensorFlow models.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/google-ai-edge/litert-torch/blob/HEAD/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

PyTorch to LiteRT Conversion Guide

ATTENTION ALL AGENTS: If you are tasked with converting a PyTorch model (e.g., ResNet or similar architectures) to a .tflite flatbuffer format in this repository, you must strictly follow these rules based on recent project findings:

1. Direct Conversion Only (No ONNX)

Bypass ONNX entirely. Do not attempt to export the model to ONNX or use onnx2tf. Convert directly from PyTorch to LiteRT.

2. Use litert-torch

Use the litert-torch library for the direct PyTorch to TFLite conversion. Note that ai-edge-torch is deprecated and has been officially renamed to litert-torch.

3. Strict Python Environment Rules

  • Do NOT use Python 3.14. It currently has compatibility issues with typing in torchao (AttributeError: 'typing.Union' object has no attribute '__module__').
  • Use Python 3.11 (e.g., python3.11) as it is highly recommended for stability and avoids the aforementioned type hint bugs.

4. Dependencies

Before running any conversion script, ensure the following are installed in your python3.11 environment:

python3.11 -m pip install torch transformers timm litert-torch ai-edge-litert litert-cli-nightly