We are excited to announce the v1.3.0 release of ONNC is now available! The new release of ONNC project includes new features in C backend, improvement of framework support, and tools. ONNC can successfully compile models into C files, supports more ONNX operators and PyTorch models.
For more information: https://github.com/ONNC/onnc/releases/

About ONNC

ONNC is an AI compiler specifically designed for proprietary deep-learning accelerators (DLAs) that support Open Neural Network Exchange (ONNX) models. ONNC leverages the ONNX IR design and optimizes neural network computation performance on various target runtime environments.
ONNC is the first open source compiler available for NVDLA-based hardware designs. Its NVDLA backend can compile a model into an executable NVDLA Loadable file. Integrating ONNC with the NVDLA software stack opens up opportunities for developers and researchers to explore the NVDLA-based inference design at the system level.


To keep up with the latest development or make comments, please head over to the official website https://onnc.ai/ and GitHub https://repo.onnc.ai for more information.