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@@ -17,8 +17,8 @@ The common issues we run into we try to document here [Troubleshooting Guide](Tr
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| Build Type | OS | Python | TensorFlow | ONNX opset | Status |
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| --- | --- | --- | --- | --- | --- |
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| Unit Test - Basic | Linux, MacOS<sup>\*</sup>, Windows<sup>\*</sup> | 3.7-3.10 | 1.13-1.15, 2.1-2.9 |9-16|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=main)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.7-3.10 | 1.13-1.15, 2.1-2.9 |9-16|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=main)||
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| Unit Test - Basic | Linux, MacOS<sup>\*</sup>, Windows<sup>\*</sup> | 3.7-3.10 | 1.13-1.15, 2.1-2.9 |13-17|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=main)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.7-3.10 | 1.13-1.15, 2.1-2.9 |13-17|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=main)||
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<br/>
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## Supported Versions
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tf2onnx will use the ONNX version installed on your system and installs the latest ONNX version if none is found.
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We support and test ONNX opset-9 to opset-17. opset-6 to opset-8 should work but we don't test them.
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We support and test ONNX opset-13 to opset-17. opset-6 to opset-12 should work but we don't test them.
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By default we use ```opset-13``` for the resulting ONNX graph.
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If you want the graph to be generated with a specific opset, use ```--opset``` in the command line, for example ```--opset 13```.
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### Python
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We support Python ```3.7-3.10```.
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Note that on windows for Python > 3.7 the protobuf package doesn't use the cpp implementation and is very slow - we recommend to use Python 3.7 for that reason.
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## Prerequisites
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```python setup.py develop```
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tensorflow-onnx requires onnx-1.5 or better and will install/upgrade onnx if needed.
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tensorflow-onnx requires onnx-1.9 or better and will install/upgrade onnx if needed.
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To create a wheel for distribution:
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The above command uses a default of `13` for the ONNX opset. If you need a newer opset, or want to limit your model to use an older opset then you can provide the `--opset` argument to the command. If you are unsure about which opset to use, refer to the [ONNX operator documentation](https://github.com/onnx/onnx/releases).
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