ONNX and operator compatibility

Supporting models based on the standard ONNX format, the runtime is compatible with PyTorch, scikit-learn, TensorFlow, Keras, and all other frameworks and tools that support the interoperable format.

• Getting ONNX models - tutorials

ONNX Runtime is up to date and backwards compatible with all operators (both DNN and traditional ML) since ONNX v1.2.1+. (ONNX compatibility details). Newer versions of ONNX Runtime support all models that worked with prior versions, so updates should not break integrations.

• Supported operators/types
  • Operators not supported in the current ONNX spec may be available as a Contrib Operator
• Extensibility: Add a custom operator/kernel

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