Additional Resources: Setup, Compatibility, Formats

This section consolidates the key resources to successfully use the PyTorch→TFLite Model Converter:

• Setup and Run the PyTorch to TFLite Converter API with Docker or Podman: covers how to set up and run the PyTorch to TFLite Converter API using the public container.

• Supported Data Formats: covers the supported calibration and validation input data formats, structural requirements, and the expectations for data shapes and values.

• Supported Layers and Operators: Lists the layers and Operators supported in ModusToolbox™.