Description
Provides an efficient in-memory representation for ONNX models. It helps Python tools inspect, transform, optimize, or generate ONNX model graphs without relying only on serialized files.
Graph transformations can change model behavior. Validate converted or optimized models with representative inputs before using them in production or research conclusions.