Lora Parameters Flatbuffer Schemas

This directory contains ONNXRuntime Lora Parameter format schema and the generated C++ header file for the Lora Parameters file format. This file format is defined as a means to deliver Lora parameters so it can read by ONNXRuntime C++ code.

The format is generally designed to house a single Lora adapter with named Lora parameters.

ONNXRuntime Lora Parameter file format schema uses the FlatBuffers serialization library.

Please do not directly modify the generated C++ header file for ONNXRuntime Lora Parameter file format.

Use flatc compiler for the purpose.

e.g.

• Windows Debug build
  • \build\Windows\Debug_deps\flatbuffers-build\Debug\flatc.exe
• Linux Debug build
  • /build/Linux/Debug/_deps/flatbuffers-build/flatc

It is possible to use another flatc as well, e.g., from a separate installation.

To update the flatbuffers schemas and generated files:

1. Modify ONNXRuntime Lora Parameter file format schema.

2. Run compile_schema.py to generate the C++ bindings.

   Copy

   python onnxruntime/lora/lora_format/compile_schema.py --flatc <path to flatc>
   

Lora format version history

In lora_format_version.h, see IsLoraParameterslVersionSupported() for the supported versions and kLoraParametersVersion for the current version.

Version 1

History begins.

Initial support for FlatBuffers that Lora Parameters support. This includes a definition of Tensor entity so it can be saved in a tensor per file format.