IVGCVSW-5605 Doxygen: Move Serializer and Deserializer to Software Tools

 * Not using the README.md files directly because it doesn't seem to
   be possible to get the content of readme.md combined with the content
   of the support.md files in one page

Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1e5073761f3af8a8d498385f3f7586334e7b29ec

6 files changed, 24 insertions, 168 deletions

diff --git a/docs/00_software_tools.dox b/docs/00_software_tools.dox
index a970c91062..1d30b3ae9c 100644
--- a/docs/00_software_tools.dox
+++ b/docs/00_software_tools.dox
@@ -13,6 +13,10 @@ other helpful information in each section.
 
 @subpage parsers
 
+@subpage serializer
+
+@subpage deserializer
+
 **/
 }
 
diff --git a/docs/02_deserializer_serializer.dox b/docs/02_deserializer_serializer.dox
index d192ec4e04..e61d4a1441 100644
--- a/docs/02_deserializer_serializer.dox
+++ b/docs/02_deserializer_serializer.dox
@@ -24,18 +24,16 @@
 namespace armnn
 {
 /**
-@page serializers The ArmNN Serializer and Deserializer
+@page serializer Serializer
 @tableofcontents
 
-@section S8_serializer The ArmNN Serializer
-
 The `armnnSerializer` is a library for serializing an Arm NN network to a stream.
 
-## The layers that ArmNN SDK Serializer currently supports.
+@section serializersupport Supported Layers
 
-This reference guide provides a list of layers which can be serialized currently by the Arm NN SDK.
+This reference guide provides a list of layers which can be serialized by the Arm NN SDK.
 
-## Fully supported
+@subsection serializersupportflully Fully supported
 
 The Arm NN SDK Serializer currently supports the following layers:
 
@@ -54,6 +52,7 @@ The Arm NN SDK Serializer currently supports the following layers:
 - DetectionPostProcess
 - Division
 - ElementwiseUnary
+- Fill
 - Floor
 - FullyConnected
 - Gather
@@ -95,28 +94,29 @@ The Arm NN SDK Serializer currently supports the following layers:
 
 More machine learning layers will be supported in future releases.
 
-## Deprecated layers
+@subsection serializersupportdeprecated Deprecated layers
 
 Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:
 
+- Abs will deserialize as ElementwiseUnary
 - Equal will deserialize as Comparison
-- Merger will deserialize as Concat
 - Greater will deserialize as Comparison
+- Merger will deserialize as Concat
 - ResizeBilinear will deserialize as Resize
-- Abs will deserialize as ElementwiseUnary
 - Rsqrt will deserialize as ElementwiseUnary
 <br/><br/><br/><br/>
 
-@section S9_deserializer The ArmNN Deserializer
+@page deserializer Deserializer
+@tableofcontents
 
 The `armnnDeserializer` is a library for loading neural networks defined by Arm NN FlatBuffers files
 into the Arm NN runtime.
 
-## The layers that ArmNN SDK Deserializer currently supports.
+@section deserializersupport Supported Layers
 
-This reference guide provides a list of layers which can be deserialized currently by the Arm NN SDK.
+This reference guide provides a list of layers which can be deserialized by the Arm NN SDK.
 
-## Fully supported
+@subsection deserializersupportfully Fully supported
 
 The Arm NN SDK Deserialize parser currently supports the following layers:
 
@@ -157,12 +157,13 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
 - Permute
 - Pooling2d
 - Prelu
-- QLstm
 - Quantize
+- QLstm
 - QuantizedLstm
 - Rank
 - Reshape
 - Resize
+- ResizeBilinear
 - Rsqrt
 - Slice
 - Softmax
@@ -178,7 +179,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
 
 More machine learning layers will be supported in future releases.
 
-## Deprecated layers
+@subsection deserializersupportdeprecated Deprecated layers
 
 Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:
 
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
deleted file mode 100644
index 2ff3a24503..0000000000
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ /dev/null
@@ -1,75 +0,0 @@
-# The layers that ArmNN SDK Deserializer currently supports.
-
-This reference guide provides a list of layers which can be deserialized currently by the Arm NN SDK.
-
-## Fully supported
-
-The Arm NN SDK Deserialize parser currently supports the following layers:
-
-* Abs
-* Activation
-* Addition
-* ArgMinMax
-* BatchToSpaceNd
-* BatchNormalization
-* Concat
-* Comparison
-* Constant
-* Convolution2d
-* DepthToSpace
-* DepthwiseConvolution2d
-* Dequantize
-* DetectionPostProcess
-* Division
-* ElementwiseUnary
-* Fill
-* Floor
-* FullyConnected
-* Gather
-* Input
-* InstanceNormalization
-* L2Normalization
-* Logical
-* LogSoftmax
-* Lstm
-* Maximum
-* Mean
-* Merge
-* Minimum
-* Multiplication
-* Normalization
-* Output
-* Pad
-* Permute
-* Pooling2d
-* Prelu
-* Quantize
-* QLstm
-* QuantizedLstm
-* Rank
-* Reshape
-* Resize
-* ResizeBilinear
-* Rsqrt
-* Slice
-* Softmax
-* SpaceToBatchNd
-* SpaceToDepth
-* Splitter
-* Stack
-* StandIn
-* StridedSlice
-* Subtraction
-* Switch
-* TransposeConvolution2d
-
-More machine learning layers will be supported in future releases.
-
-## Deprecated layers
-
-Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:
-
-* Equal will deserialize as Comparison
-* Merger will deserialize as Concat
-* Greater will deserialize as Comparison
-* ResizeBilinear will deserialize as Resize
diff --git a/src/armnnDeserializer/README.md b/src/armnnDeserializer/README.md
index 28d6a37388..fa76a6da45 100644
--- a/src/armnnDeserializer/README.md
+++ b/src/armnnDeserializer/README.md
@@ -4,4 +4,5 @@ The `armnnDeserializer` is a library for loading neural networks defined by Arm
 into the Arm NN runtime.
 
 For more information about the layers that are supported, and the networks that have been tested,
-see [DeserializerSupport.md](./DeserializerSupport.md)
\ No newline at end of file
+take a look into our doxygen documentation which can be found in the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) 
+of our github repository.
\ No newline at end of file
diff --git a/src/armnnSerializer/README.md b/src/armnnSerializer/README.md
index 0656c8bb79..79ab2e2c17 100644
--- a/src/armnnSerializer/README.md
+++ b/src/armnnSerializer/README.md
@@ -3,4 +3,5 @@
 The `armnnSerializer` is a library for serializing an Arm NN network to a stream.
 
 For more information about the layers that are supported, and the networks that have been tested,
-see [SerializerSupport.md](./SerializerSupport.md).
+take a look into our doxygen documentation which can be found in the [wiki section](https://github.com/ARM-software/armnn/wiki/Documentation) 
+of our github repository.
\ No newline at end of file
diff --git a/src/armnnSerializer/SerializerSupport.md b/src/armnnSerializer/SerializerSupport.md
deleted file mode 100644
index 67dc5d1596..0000000000
--- a/src/armnnSerializer/SerializerSupport.md
+++ /dev/null
@@ -1,76 +0,0 @@
-# The layers that ArmNN SDK Serializer currently supports.
-
-This reference guide provides a list of layers which can be serialized currently by the Arm NN SDK.
-
-## Fully supported
-
-The Arm NN SDK Serializer currently supports the following layers:
-
-* Activation
-* Addition
-* ArgMinMax
-* BatchToSpaceNd
-* BatchNormalization
-* Comparison
-* Concat
-* Constant
-* Convolution2d
-* DepthToSpace
-* DepthwiseConvolution2d
-* Dequantize
-* DetectionPostProcess
-* Division
-* ElementwiseUnary
-* Fill
-* Floor
-* FullyConnected
-* Gather
-* Input
-* InstanceNormalization
-* L2Normalization
-* Logical
-* LogSoftmax
-* Lstm
-* Maximum
-* Mean
-* Merge
-* Minimum
-* Multiplication
-* Normalization
-* Output
-* Pad
-* Permute
-* Pooling2d
-* Prelu
-* QLstm
-* Quantize
-* QuantizedLstm
-* Rank
-* Reshape
-* Resize
-* Slice
-* Softmax
-* SpaceToBatchNd
-* SpaceToDepth
-* Splitter
-* Stack
-* StandIn
-* StridedSlice
-* Subtraction
-* Switch
-* Transpose
-* TransposeConvolution2d
-
-More machine learning layers will be supported in future releases.
-
-## Deprecated layers
-
-Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:
-
-* Abs will deserialize as ElementwiseUnary
-* Equal will deserialize as Comparison
-* Greater will deserialize as Comparison
-* Merger will deserialize as Concat
-* ResizeBilinear will deserialize as Resize
-* Rsqrt will deserialize as ElementwiseUnary
-