## Version Conversion The ONNX [Version Converter](https://github.com/onnx/onnx/blob/master/docs/VersionConverter.md) helps convert ONNX models to the version needed by the runtime you are using. Version Conversion for BatchNormalization from opset 8 to 9: ### Downgrade Version Conversion from 9 to 8: ```python import onnx # Load the model model = onnx.load("path_to/resnet18.onnx") # Check that the IR is well formed onnx.checker.check_model(model) from onnx import version_converter # Convert to version 8 converted_model = version_converter.convert_version(model, 8) # Save model onnx.save(converted_model, "path_to/resnet18_v8.onnx") ``` ### Upgrade Version Conversion from 8 to 9 ```python # Convert to version 9 converted_model9 = version_converter.convert_version(converted_model, 9) # Save model onnx.save(converted_model9, "path_to/resnet18_v9.onnx") ``` ### Downgrade Version Conversion from 8 to 7 ```python # Convert to version 7 converted_model7 = version_converter.convert_version(converted_model, 7) # Save model onnx.save(converted_model7, "path_to/resnet18_v7.onnx") ``` ### Upgrade Version Conversion from 7 to 9 ```python # Convert to version 9 converted_model79 = version_converter.convert_version(converted_model7, 9) # Save model onnx.save(converted_model79, "path_to/resnet18_v79.onnx") ```