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

2 files changed, 3 insertions, 43 deletions

diff --git a/src/armnnCaffeParser/CaffeSupport.md b/src/armnnCaffeParser/CaffeSupport.md
deleted file mode 100644
index 3501a78ae8..0000000000
--- a/src/armnnCaffeParser/CaffeSupport.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# Caffe layers supported by the Arm NN SDK
-This reference guide provides a list of Caffe layers the Arm NN SDK currently supports.
-
-Although some other neural networks might work, Arm tests the Arm NN SDK with Caffe implementations of the following neural networks: 
-
-- AlexNet.
-- Cifar10.
-- Inception-BN.
-- Resnet_50, Resnet_101 and Resnet_152.
-- VGG_CNN_S, VGG_16 and VGG_19.
-- Yolov1_tiny.
-- Lenet.
-- MobileNetv1.
-- SqueezeNet v1.0 and SqueezeNet v1.1
-
-The Arm NN SDK supports the following machine learning layers for Caffe networks:
-
-
-- Argmax, excluding the top_k and out_max_val parameters.
-- BatchNorm, in inference mode.
-- Convolution, excluding Weight Filler, Bias Filler, Engine, Force nd_im2col, and Axis parameters.
-- Deconvolution, excluding the Dilation Size, Weight Filler, Bias Filler, Engine, Force nd_im2col, and Axis parameters.
-
-  Caffe doesn't support depthwise convolution, the equivalent layer is implemented through the notion of groups. ArmNN supports groups this way:
-  - when group=1, it is a normal conv2d
-  - when group=#input_channels, we can replace it by a depthwise convolution
-  - when group>1 && group<#input_channels, we need to split the input into the given number of groups, apply a separate convolution and then merge the results
-- Concat, along the channel dimension only.
-- Dropout, in inference mode.
-- Eltwise, excluding the coeff parameter.
-- Inner Product, excluding the Weight Filler, Bias Filler, Engine, and Axis parameters.
-- Input.
-- LRN, excluding the Engine parameter.
-- Pooling, excluding the Stochastic Pooling and Engine parameters.
-- ReLU.
-- Scale.
-- Softmax, excluding the Axis and Engine parameters.
-- Split.
-
-More machine learning layers will be supported in future releases.
diff --git a/src/armnnCaffeParser/README.md b/src/armnnCaffeParser/README.md
index 63e856dfdc..17dbe440de 100644
--- a/src/armnnCaffeParser/README.md
+++ b/src/armnnCaffeParser/README.md
@@ -2,6 +2,6 @@
 
 `armnnCaffeParser` is a library for loading neural networks defined in Caffe protobuf files into the Arm NN runtime.
 
-For more information about the Caffe layers that are supported, and the networks that have been tested, see [CaffeSupport.md](./CaffeSupport.md).
-
-Please note that certain deprecated Caffe features are not supported by the armnnCaffeParser. If you think that Arm NN should be able to load your model according to the list of supported layers in [CaffeSupport.md](./CaffeSupport.md), but you are getting strange error messages, then try upgrading your model to the latest format using Caffe, either by saving it to a new file or using the upgrade utilities in `caffe/tools`.
+For more information, a list of supported Caffe layers, and the networks that have been tested, 
+please visit "Software Tools" -> "Parsers" -> "Arm NN Caffe Parser" in our doxygen documentation that can be found in 
+the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) of our github repository.