Winnie Tsang

@rose-jinyang We have updated our code base to produce a TF saved model. Both API [export_graph](https://github.com/onnx/onnx-tensorflow/blob/master/doc/API.md#onnx_tfbackend_reptensorflowrepexport_graph) and CLI [convert](https://github.com/onnx/onnx-tensorflow/blob/master/doc/CLI.md#convert) will produce a saved model for you.

@HaoYang0123 We have updated our code base to produce a TF saved model. Both API [export_graph](https://github.com/onnx/onnx-tensorflow/blob/master/doc/API.md#onnx_tfbackend_reptensorflowrepexport_graph) and CLI [convert](https://github.com/onnx/onnx-tensorflow/blob/master/doc/CLI.md#convert) will produce a saved model for you.

@AnkitPurohit01 this is the API doc on github https://github.com/onnx/onnx-tensorflow/blob/master/doc/API.md

@johannesSX Currently only limited modes/options introduced in Resize opset 11 are supported. More investigation needed for other modes/options due to framework incompatibility.

@jf99 Resize required 4D input in Tensorflow. For opset 11, only the following attributes and inputs combination are supported in onnx-tf: mode=nearest, coordinate_transformation_mode=align_corners, nearest_mode=round_prefer_ceil, can use scales(*) or sizes. mode=nearest,...

@masakistan please add in a dynamic shape testcase for instance_normalization into onnx-tensorflow/test/backend/test_dynamic_shape.py

@hodaraad I have created a pull request for a end-to-end tutorial that show how to import a PyTorch model to TensorFlow. https://github.com/onnx/tutorials/pull/68 May you check it out and give me...