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-# ONNX operators that the Arm NN SDK supports
-
-This reference guide provides a list of ONNX operators the Arm NN SDK currently supports.
-
-The Arm NN SDK ONNX parser currently only supports fp32 operators.
-
-## Fully supported
-
-**Add**
-
-See the ONNX [Add documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Add) for more information
-
-**AveragePool**
-
-See the ONNX [AveragePool documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#AveragePool) for more information.
-
-**Constant**
-
-See the ONNX [Constant documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Constant) for more information.
-
-**Clip**
-
-See the ONNX [Clip documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Clip) for more information.
-
-**Flatten**
-
-See the ONNX [Flatten documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Flatten) for more information.
-
-**GlobalAveragePool**
-
-See the ONNX [GlobalAveragePool documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#GlobalAveragePool) for more information.
-
-**LeakyRelu**
-
-See the ONNX [LeakyRelu documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#LeakyRelu) for more information.
-
-
-**MaxPool**
-
-See the ONNX [max_pool documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#MaxPool) for more information.
-
-**Relu**
-
-See the ONNX [Relu documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Relu) for more information.
-
-**Reshape**
-
-See the ONNX [Reshape documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Reshape) for more information.
-
-**Sigmoid**
-
-See the ONNX [Sigmoid documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Sigmoid) for more information.
-
-
-**Tanh**
-
-See the ONNX [Tanh documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Tanh) for more information.
-
-
-## Partially supported
-
-**Conv**
-
-The parser only supports 2D convolutions with a dilation rate of [1, 1] and group = 1 or group = #Nb_of_channel (depthwise convolution)
-See the ONNX [Conv documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Conv) for more information.
-
-**BatchNormalization**
-
-The parser does not support training mode. See the ONNX [BatchNormalization documentation](https://github.com/onnx/onnx/blob/master/docs/Operators.md#BatchNormalization) for more information.
-
-**MatMul**
-
-The parser only supports constant weights in a fully connected layer.
-
-## Tested networks
-
-Arm tested these operators with the following ONNX fp32 neural networks:
-
-* Mobilenet_v2. See the ONNX [MobileNet documentation](https://github.com/onnx/models/tree/master/vision/classification/mobilenet) for more information.
-
-* Simple MNIST. This is no longer directly documented by ONNX. The model and test data may be downloaded [from the ONNX model zoo](https://onnxzoo.blob.core.windows.net/models/opset_8/mnist/mnist.tar.gz).
-
-More machine learning operators will be supported in future releases as time allows. If you require specific operator support contribution are welcome.