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author | Jan Eilers <jan.eilers@arm.com> | 2021-02-02 13:18:09 +0000 |
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committer | Jan Eilers <jan.eilers@arm.com> | 2021-02-08 09:23:48 +0000 |
commit | 53ca2e5bba4fcef8285acc1bed534ea2bc8fb3d0 (patch) | |
tree | 490d3c67c43b0984a91a4a217e649acd672bc07f /src/armnnOnnxParser/OnnxSupport.md | |
parent | 72a9929d1ae37a9c32a0c51eb8491e65c3d1add2 (diff) | |
download | armnn-53ca2e5bba4fcef8285acc1bed534ea2bc8fb3d0.tar.gz |
IVGCVSW-5605 Doxygen: Update parser section
* Removes support.md files from all parsers. Lists of supported
operators are now kept in doxygen only
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I137e03fdd9f41751624bdd0dd25e2db5ef4ef94f
Diffstat (limited to 'src/armnnOnnxParser/OnnxSupport.md')
-rw-r--r-- | src/armnnOnnxParser/OnnxSupport.md | 83 |
1 files changed, 0 insertions, 83 deletions
diff --git a/src/armnnOnnxParser/OnnxSupport.md b/src/armnnOnnxParser/OnnxSupport.md deleted file mode 100644 index 051e2c908b..0000000000 --- a/src/armnnOnnxParser/OnnxSupport.md +++ /dev/null @@ -1,83 +0,0 @@ -# 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. |