Versioning.md

Versioning

API

ONNX Runtime follows Semantic Versioning 2.0 for its public API. Each release has the form MAJOR.MINOR.PATCH, adhering to the definitions from the linked semantic versioning doc.

Current stable release version

The version number of the current stable release can be found here.

Release cadence

See Release Management

Compatibility

Backwards compatibility

All versions of ONNX Runtime will support ONNX opsets all the way back to (and including) opset version 7. In other words, if an ONNX Runtime release implements ONNX opset ver 9, it'll be able to run all models that are stamped with ONNX opset versions in the range [7-9].

Version matrix

The table summarizes the relationship between the ONNX Runtime version and the ONNX opset version implemented in that release. Please note the backward compatibility notes above. For more details on ONNX Release versions, see this page.

Tool Compatibility

A variety of tools can be used to create ONNX models. Unless otherwise noted, please use the latest released version of the tools to convert/export the ONNX model. Most tools are backwards compatible and support multiple ONNX versions. Join this with the table above to evaluate ONNX Runtime compatibility.

Tool	Recommended Version	Supported ONNX version(s)
PyTorch	Latest stable	1.2-1.6
ONNXMLTools CoreML, LightGBM, XGBoost, LibSVM	Latest stable	1.2-1.6
ONNXMLTools SparkML	Latest stable	1.4-1.5
SKLearn-ONNX	Latest stable	1.2-1.6
Keras-ONNX	Latest stable	1.2-1.6
Tensorflow-ONNX	Latest stable	1.2-1.6
WinMLTools	Latest stable	1.2-1.6
Paddle2ONNX	Latest stable	1.6-1.9
AutoML	1.0.39+	1.5
	1.0.33	1.4