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Nov 18, 2021
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add tf-2.7 in readme #1772

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -17,8 +17,8 @@ The common issues we run into we try to document here [Troubleshooting Guide](Tr

| Build Type | OS | Python | Tensorflow | ONNX opset | Status |
| --- | --- | --- | --- | --- | --- |
| Unit Test - Basic | Linux, MacOS<sup>\*</sup>, Windows<sup>\*</sup> | 3.6-3.9 | 1.12-1.15, 2.1-2.6 | 9-15 | [![Build Status](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_apis/build/status/unit_test?branchName=master)](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=master) |
| Unit Test - Full | Linux, MacOS, Windows | 3.6-3.9 | 1.12-1.15, 2.1-2.6 | 9-15 | [![Build Status](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_apis/build/status/unit_test-matrix?branchName=master)](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=master) | |
| Unit Test - Basic | Linux, MacOS<sup>\*</sup>, Windows<sup>\*</sup> | 3.6-3.9 | 1.12-1.15, 2.1-2.7 | 9-15 | [![Build Status](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_apis/build/status/unit_test?branchName=master)](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=master) |
| Unit Test - Full | Linux, MacOS, Windows | 3.6-3.9 | 1.12-1.15, 2.1-2.7 | 9-15 | [![Build Status](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_apis/build/status/unit_test-matrix?branchName=master)](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=master) | |
<br/>

## Supported Versions
Expand All @@ -34,7 +34,7 @@ If you want the graph to be generated with a specific opset, use ```--opset``` i

### TensorFlow

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```.
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```.

When running under tf-2.x tf2onnx will use the tensorflow V2 controlflow.

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