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| title | parent | nav_order |
|---|---|---|
| Operator compatibility | Resources | 1 |
ONNX and operator compatibility
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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.
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