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ONNC (Open Neural Network Compiler) favicon

ONNC (Open Neural Network Compiler)

ONNC (Open Neural Network Compiler) screenshot
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About

ONNC (Open Neural Network Compiler) is a retargetable compilation framework designed specifically for proprietary deep learning accelerators. It expedites porting to any Deep Learning Accelerator (DLA) design that supports ONNX operators. ONNC transforms ONNX models into DLA-specific binary forms and leverages the intermediate representation (IR) design of ONNX. It is integrated with the LLVM bitcode runtime and compiler and also provides a modular framework to speed up compiler development. ONNC divides AI compilation into clear phases and provides APIs for algorithm development, including IR building, partitioning, scheduling, allocation, and code emitting. It also offers reusable optimization algorithms.

Platform
Web
Keywords
neural networkscompileronnxdlaai compilation
Task
model compiling

Features

• retargetable compilation framework

• reusable compiler optimizations

• transforms onnx models into dla-specific binary forms

• supports onnx operators

• iterative pass manager

• modular framework for compiler development

• integrated with llvm bitcode runtime and compiler

• leverages intermediate representation (ir) design of onnx

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