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@@ -16,10 +16,10 @@ The common issues we run into we try to document here [Troubleshooting Guide](Tr
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<br/>
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| Build Type | OS | Python | Tensorflow |Onnx opset | Status |
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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> | 3.6, 3.7, 3.8 | 1.12-1.15, 2.1-2.5 |7-13|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=master)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.6, 3.7, 3.8 | 1.12-1.15, 2.1-2.5 |7-13|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=master)||
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| Unit Test - Basic | Linux, MacOS<sup>\*</sup>, Windows<sup>\*</sup> | 3.6-3.9 | 1.12-1.15, 2.1-2.5 |8-15|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=master)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.6-3.9 | 1.12-1.15, 2.1-2.5 |8-14|[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=master)||
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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 ONNX opset-6 to opset-13. By default we use ```opset-9``` for the resulting ONNX graph since most runtimes will support opset-9.
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We support and test ONNX opset-8 to opset-14. opset-6 and opset-7 should work but we don't test them.
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By default we use ```opset-9``` for the resulting ONNX graph since most runtimes will support opset-9.
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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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### TensorFlow
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We support ```tf-1.x graphs``` and ```tf-2```. To keep our test matrix manageable we test tf2onnx running on top of ```tf-1.12 and up```.
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We support ```tf-1.x graphs``` and ```tf-2```. To keep our test matrix manageable we test tf2onnx running on top of ```tf-1.12 or better```.
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When running under tf-2.x tf2onnx will use the tensorflow V2 controlflow.
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You can install tf2onnx on top of tf-1.x or tf-2.x.
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### Python
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We support Python ```3.6```, ```3.7``` and ```3.8```.
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We support Python ```3.6-3.9```.
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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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