IVGCVSW-7701 Update docu with new ops in 23.08
* Add supported ops in SupportLibrary
* Removed tableofcontents which was never used
* Separated pages for serializer and deserializer
* Removed link to delegate/IntegrateDelegateIntoPython.md which was removed
* Arranged components in alphabetical order
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ic7a62d0af092f97c49f8ace1a8f8f31d9152b3f8
diff --git a/docs/05_02_serializer.dox b/docs/05_02_serializer.dox
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+/// Copyright (c) 2021-2023 ARM Limited and Contributors. All rights reserved.
+///
+/// SPDX-License-Identifier: MIT
+///
+
+namespace armnn
+{
+/**
+@page serializer Serializer
+
+The `armnnSerializer` is a library for serializing an Arm NN network to a stream.
+
+@section serializersupport Supported Layers
+
+This reference guide provides a list of layers which can be serialized by the Arm NN SDK.
+
+The Arm NN SDK Serializer currently supports the following layers:
+
+- Activation
+
+- Addition
+
+- ArgMinMax
+
+- BatchMatMul
+
+- BatchToSpaceNd
+
+- BatchNormalization
+
+- Cast
+
+- ChannelShuffle
+
+- Comparison
+
+- Concat
+
+- Constant
+
+- Convolution2d
+
+- Convolution3d
+
+- DepthToSpace
+
+- DepthwiseConvolution2d
+
+- Dequantize
+
+- DetectionPostProcess
+
+- Division
+
+- ElementwiseUnary
+
+- Fill
+
+- Floor
+
+- FullyConnected
+
+- Gather
+
+- GatherNd
+
+- Input
+
+- InstanceNormalization
+
+- L2Normalization
+
+- Logical
+
+- LogSoftmax
+
+- Lstm
+
+- Maximum
+
+- Mean
+
+- Merge
+
+- Minimum
+
+- Multiplication
+
+- Normalization
+
+- Output
+
+- Pad (Constant, Symmetric, Reflect)
+
+- Permute
+
+- Pooling2d
+
+- Pooling3d
+
+- Prelu
+
+- QLstm
+
+- Quantize
+
+- QuantizedLstm
+
+- Rank
+
+- Reduce
+
+- Reshape
+
+- Resize
+
+- ReverseV2
+
+- Shape
+
+- Slice
+
+- Softmax
+
+- SpaceToBatchNd
+
+- SpaceToDepth
+
+- Splitter
+
+- Stack
+
+- StandIn
+
+- StridedSlice
+
+- Subtraction
+
+- Switch
+
+- Transpose
+
+- TransposeConvolution2d
+
+- UnidirectionalSequenceLstm
+
+
+More machine learning layers will be supported in future releases.
+
+@section 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
+- Greater will deserialize as Comparison
+- Merger will deserialize as Concat
+- ResizeBilinear will deserialize as Resize
+- Rsqrt will deserialize as ElementwiseUnary
+
+**/
+}