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backend-integration.mdindex.mdmodel-composition.mdmodel-construction.mdmodel-hub.mdmodel-io.mdmodel-validation.mdnumpy-integration.mdoperator-definitions.mdreference-implementation.mdshape-inference.mdtext-processing.mdversion-conversion.md

version-conversion.mddocs/

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# Version Conversion

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Convert ONNX models between different IR versions and operator set versions to maintain compatibility across framework versions. This module enables model migration and ensures compatibility with different ONNX runtime versions.

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## Capabilities

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### Version Conversion

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Convert models between different ONNX versions with automatic operator and type updates.

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```python { .api }

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def convert_version(model, target_version):

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"""

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Convert ONNX model to target version.

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Parameters:

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- model: ModelProto to convert

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- target_version: Target ONNX opset version (integer)

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Returns:

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ModelProto: Converted model with updated operators and types

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Raises:

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ValueError: If conversion is not possible or target version is invalid

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RuntimeError: If conversion fails due to unsupported operators

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"""

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```

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## Usage Examples

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### Basic Version Conversion

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```python

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import onnx

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from onnx import version_converter

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# Load model with older opset version

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model = onnx.load_model("model_v11.onnx")

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print(f"Original opset version: {model.opset_import[0].version}")

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# Convert to newer version

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try:

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converted_model = version_converter.convert_version(model, 14)

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print(f"Converted to opset version: {converted_model.opset_import[0].version}")

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# Validate converted model

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onnx.checker.check_model(converted_model)

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print("Conversion successful and model is valid!")

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# Save converted model

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onnx.save_model(converted_model, "model_v14.onnx")

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except Exception as e:

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print(f"Conversion failed: {e}")

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```