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about: Use this template for reporting a bug or a performance issue.
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---
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**Describe the bug**
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A clear and concise description of what the bug is.
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**Urgency**
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If there are particular important use cases blocked by this or strict project-related timelines, please share more information and dates. If there are no hard deadlines, please specify none.
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**System information**
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- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
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- Tensorflow Version:
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- Python version:
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**To Reproduce**
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Describe steps/code to reproduce the behavior:
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**Expected behavior**
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A clear and concise description of what you expected to happen.
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**Screenshots**
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If applicable, add screenshots to help explain your problem.
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**Additional context**
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Add any other context about the problem here. If the issue is about a particular model, please share the model details as well to facilitate debugging.
| 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 | 7-10|[](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 | 7-10|[](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> | 3.5, 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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<aname="build_status_footnote">\*</a> Only test on python3.6, TF1.14.
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# Supported ONNX version
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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 10. By default we use opset 7 for the resulting ONNX graph since most runtimes will support opset 7. Support for future opsets add added as they are released.
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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 10```.
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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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# 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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