Correct ONNX documentation (#15914)

CONTRIBUTORS.md

@@ -245,6 +245,7 @@ List of Contributors
 * [Rohit Srivastava](https://github.com/access2rohit)
 * [Caner Turkmen](https://github.com/canerturkmen)
 * [Disi A](https://github.com/adis300)
+* [Vandana Kannan](https://github.com/vandanavk)
 
 Label Bot
 ---------

docs/api/python/contrib/onnx.md

@@ -30,7 +30,7 @@ With ONNX format support for MXNet, developers can build and train models with a
 ```
 
 ### Installation Instructions
-- To use this module developers need to **install ONNX**, which requires the protobuf compiler to be installed separately. Please follow the [instructions to install ONNX and its dependencies](https://github.com/onnx/onnx#installation). **MXNet currently supports ONNX v1.2.1**. Once installed, you can go through the tutorials on how to use this module.
+- To use this module developers need to **install ONNX**, which requires the protobuf compiler to be installed separately. Please follow the [instructions to install ONNX and its dependencies](https://github.com/onnx/onnx#installation). **MXNet currently supports ONNX v1.3**. Once installed, you can go through the tutorials on how to use this module.
 
 
 This document describes all the ONNX-MXNet APIs.

python/mxnet/contrib/onnx/mx2onnx/export_model.py

@@ -37,7 +37,7 @@ def export_model(sym, params, input_shape, input_type=np.float32,
     """Exports the MXNet model file, passed as a parameter, into ONNX model.
     Accepts both symbol,parameter objects as well as json and params filepaths as input.
     Operator support and coverage -
-    https://cwiki.apache.org/confluence/display/MXNET/MXNet-ONNX+Integration
+    https://cwiki.apache.org/confluence/display/MXNET/ONNX+Operator+Coverage
 
     Parameters
     ----------