ONNX provides a C++ library for performing arbitrary optimizations on ONNX models, as well as a growing list of prepackaged optimization passes.

Introduction. ONNX provides a C++ library for performing arbitrary optimizations on ONNX models, as well as a growing list of prepackaged optimization passes.

In addition to tuning performance using ONNX Runtime configurations, there are techniques that can be applied to reduce model size and/or complexity to improve ... Quantize ONNX models · Graph optimizations · Float16 and mixed precision

Actively maintained ONNX Optimizer. Contribute to onnx/optimizer development by creating an account on GitHub.

ONNX Runtime provides Python, C#, C++, and C APIs to enable different optimization levels and to choose between offline vs. online mode. Below we provide ...

12 апр. 2021 г. · In this article, we introduce the official ONNX optimizer, which optimizes such ONNX formal models for inference processing.

ONNX models can be optimized with the ORTOptimizer. The class can be initialized using the from_pretrained() method, which supports different checkpoint formats ...

Optimize. Fine tune your model for size, accuracy, resource utilization, and performance. ONNX Optimizer. Visualize. Better understand your model by ...

The ONNX Script Optimizer tool provides the user with the functionality to optimize an ONNX model by performing optimizations and clean-ups such as constant ...

This is a tool to optimize ONNX model when exporting from PyTorch. Installation Build MMDeploy with torchscript support.