change branch to main

Signed-off-by: Deyu Huang <[email protected]>

Author: hwangdeyu

.github/ISSUE_TEMPLATE/bug-performance-issue.md

@@ -7,7 +7,7 @@ about: Use this template for reporting a bug or a performance issue.
 **Dubugging advice**
 [delete this section if it doesn't solve your issue]
 - Add a `--opset` flag with the highest possible opset you can use. Some ops only convert in higher opsets.
-- Try installing the latest tf2onnx from master. Some bug fixes might not have been released to PyPI. Run `pip uninstall tf2onnx` and `pip install git+https://github.com/onnx/tensorflow-onnx`
+- Try installing the latest tf2onnx from main branch. Some bug fixes might not have been released to PyPI. Run `pip uninstall tf2onnx` and `pip install git+https://github.com/onnx/tensorflow-onnx`
 - If using a saved model, use the Tensorflow `saved_model_cli` to determine the correct `--tag` and `--signature_def` flags to use. If the signature you need is not listed, use the `--concrete_function` flag to index into the model's defined functions.
 - If your model was made in tf1.x, try running tf2onnx in a venv with tensorflow 1.x installed. tf2.x should be able to read tf1 models, but sometimes there are bugs.
 

CONTRIBUTING.md

@@ -11,7 +11,7 @@ We're always looking for your help to fix bugs and improve the product. Create a
 4. Make and checkin your changes along with unit tests
 5. git commit your changes
 6. git push origin HEAD
-7. To request merge into master send a pull request from the web ui
+7. To request merge into main send a pull request from the web ui
 https://github.com/onnx/tensorflow-onnx.
 
 

ci_build/azure_pipelines/onnxruntime_nightly_test.yml

@@ -107,5 +107,5 @@ schedules:
   displayName: Daily onnxruntime nightly unittest
   branches:
     include:
-    - master
+    - main
   always: true

ci_build/azure_pipelines/pretrained_model_test-matrix.yml

@@ -60,5 +60,5 @@ schedules:
   displayName: pre-trained model test, full matrix
   branches:
     include:
-    - master
+    - main
   always: true

tutorials/README.md

@@ -5,20 +5,20 @@
 The following tutorials show how to convert various models to ONNX.
 
 ## Image Classifiers
-[efficientnet-edge](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-edge.ipynb)
+[efficientnet-edge](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/efficientnet-edge.ipynb)
 
-[efficientnet-lite](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-lite.ipynb)
+[efficientnet-lite](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/efficientnet-lite.ipynb)
 
-[keras-resnet50](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/keras-resnet50.ipynb) - shows how to convert a keras model via python api
+[keras-resnet50](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/keras-resnet50.ipynb) - shows how to convert a keras model via python api
 
 ## Object Detectors
-[ssd-mobilenet](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/ConvertingSSDMobilenetToONNX.ipynb)
+[ssd-mobilenet](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/ConvertingSSDMobilenetToONNX.ipynb)
 
-[efficientdet](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientdet.ipynb)
+[efficientdet](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/efficientdet.ipynb)
 
-[mobiledet](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/mobiledet-tflite.ipynb) - shows how to convert a tflite model
+[mobiledet](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/mobiledet-tflite.ipynb) - shows how to convert a tflite model
 
 ## Nlp
-[Huggingface Bert Example](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/huggingface-bert.ipynb)
+[Huggingface Bert Example](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/huggingface-bert.ipynb)
 
-[The original Tensorflow Bert model](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/BertTutorial.ipynb) - depreciated, use huggingface
+[The original Tensorflow Bert model](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/BertTutorial.ipynb) - depreciated, use huggingface