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@@ -9,16 +9,16 @@ __Note: tensorflow.js support was just added. While we tested it with many tfjs
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TensorFlow has many more ops than ONNX and occasionally mapping a model to ONNX creates issues.
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You find a list of supported Tensorflow ops and their mapping to ONNX [here](support_status.md).
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You find a list of supported TensorFlow ops and their mapping to ONNX [here](support_status.md).
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The common issues we run into we try to document here [Troubleshooting Guide](Troubleshooting.md).
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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> | 3.6-3.9 | 1.12-1.15, 2.1-2.8 | 9-15 |[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=main)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.6-3.9 | 1.12-1.15, 2.1-2.8 | 9-15 |[](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> | 3.7-3.9 | 1.13-1.15, 2.1-2.8 | 9-15 |[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=main)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.7-3.9 | 1.13-1.15, 2.1-2.8 | 9-15 |[](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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### TensorFlow
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We support ```tf-1.x graphs``` and ```tf-2.x```. To keep our test matrix manageable we test tf2onnx running on top of ```tf-1.12 or better```.
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We support ```tf-1.x graphs``` and ```tf-2.x```. To keep our test matrix manageable we test tf2onnx running on top of ```tf-1.13 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 ```3.6-3.9```.
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We support Python ```3.7-3.9```.
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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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