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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> | 3.5, 3.6| 1.5-1.14 | 7-11 |[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=master)|
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| Unit Test - Full | Linux, MacOS, Windows | 3.5, 3.6, 3.7| 1.5-1.14 | 7-11 |[](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, 3.7| 1.12-1.14 | 7-11 |[](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| 1.12-1.14 | 7-11 |[](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=master)||
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<aname="build_status_footnote">\*</a> Only test on python3.6, TF1.14.
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<aname="build_status_footnote">\*</a> Only test on python3.7, TF1.14.
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# Supported ONNX version
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# Supported Versions
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## ONNX
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tensorflow-onnx 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 opset 6 to 11. By default we use opset 8 for the resulting ONNX graph since most runtimes will support opset 8.
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Support for future opsets add added as they are released.
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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 11```.
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## Tensorflow
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We support all ```tf-1.x graphs```. To keep our test matrix manageable we stopped testing tf2onnx running on top of versions older than ```tf-1.12```. tf2onnx-1.5.4 was the last version that was tested all the way back to tf-1.4.
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## Python
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We support Python ```3.6```, ```3.7``` and ```3.8```. tf2onnx-1.5.4 was the last release that supports Python 3.5.
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# Status
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We support many TensorFlow models. Support for Fully Connected, Convolutional and dynamic LSTM networks is mature.
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A list of models that we use for testing can be found [here](tests/run_pretrained_models.yaml).
@@ -51,9 +58,6 @@ For pytorch/caffe2, follow the instructions here:
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We tested with pytorch/caffe2 and onnxruntime and unit tests are passing for those.
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## Supported Tensorflow and Python Versions
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We are testing with tensorflow 1.5-1.14 and anaconda **3.5,3.6,3.7**.
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