ONNX
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About
ONNX is an open format built to enable machine learning developers to use models across various frameworks and tools. It defines a common set of operators and a file format, promoting interoperability and hardware optimization for AI models. Developers can create in their preferred framework without worrying about downstream implications, as ONNX supports multiple inference engines, enhancing performance across different hardware. In addition, ONNX encourages community participation and contributions, making it easier for developers to transform or accelerate AI models and share tools effectively, thus advancing the field of AI.
Platform
Features
• extensible computation graph model
• built-in operators that are portable across frameworks
• support for a community-driven project
• hardware access and optimization
• interoperability across frameworks
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