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zeekay 397da37894 docs+brand: purge Zama/Fhenix references — Lux FHE / Torus / TorusEVM / TorusML / TorusNet canonical names 
Files edited: 150
Brand-hit files before: 163
Brand-hit files after: 28

Substitutions:
- Zama Concrete ML        -> TorusML
- Zama Concrete / Concrete-> Torus
- Zama fhEVM / fhEVM      -> TorusEVM
- Zama TFHE-rs / tfhe-rs  -> Lux-FHE (github.com/luxfi/fhe)
- Zama (attribution)      -> Lux Industries
- zama-ai/* (GitHub)      -> luxfhe/*
- @zama-fhe/* (npm)       -> @luxfhe/*
- docs.zama.ai            -> docs.lux.network
- Fhenix / CoFHE          -> dropped or rewritten to Lux FHE / TorusEVM coprocessor

Text-only changes. No runtime code semantics altered.
2026-05-29 13:20:44 -07:00

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Upgrading TorusML In Your Project

This guide aims to help developers who are upgrading from older versions of TorusML. Although we cannot cover everything, we have compiled the most important points to assist you in your transition. If you encounter any issues, please reach out through our community channels.

Upgrading to 1.0.0

Please take note of the following changes when upgrading to version 1.0.0:

  • execute_in_fhe argument in .predict() methods has been replaced by fhe="disable|simulate|execute". The disable option runs the model in Python, while simulate performs an FHE simulation, and execute provides actual FHE execution.

  • encrypt_run_decrypt function can now only be executed in FHE. For FHE simulations, please use the simulate function instead.

  • In some models, the forward_fhe function has been renamed to fhe_circuit for consistency across all models.

  • verbose_compilation parameter has been renamed to verbose in the compile functions.

  • compilation_artifacts parameter has been renamed to artifacts.

  • use_virtual_lib parameter in concrete.ml.torch has been removed from the following functions:

    • compile_onnx_model
    • compile_torch_model
    • compile_brevitas_qat_model This means that models are now always converted to FHE, and only FHE-friendly models can be compiled.
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