IVGCVSW-6372 Change order in doxygen tree view

Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia765d335ef998e7e47a1c0c81a375645972f4e1d

1 files changed, 0 insertions, 178 deletions

diff --git a/docs/01_03_delegate.dox b/docs/01_03_delegate.dox
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-/// Copyright (c) 2021 ARM Limited and Contributors. All rights reserved.
-///
-/// SPDX-License-Identifier: MIT
-///
-
-namespace armnn
-{
-/**
-@page delegate TfLite Delegate
-@tableofcontents
-
-
-@section delegateintro About the delegate
-'armnnDelegate' is a library for accelerating certain TensorFlow Lite (TfLite) operators on Arm hardware. It can be
-integrated in TfLite using its delegation mechanism. TfLite will then delegate the execution of operators supported by
-Arm NN to Arm NN.
-
-The main difference to our @ref S6_tf_lite_parser is the amount of operators you can run with it. If none of the active
-backends support an operation in your model you won't be able to execute it with our parser. In contrast to that, TfLite
-only delegates operations to the armnnDelegate if it does support them and otherwise executes them itself. In other
-words, every TfLite model can be executed and every operation in your model that we can accelerate will be accelerated.
-That is the reason why the armnnDelegate is our recommended way to accelerate TfLite models.
-
-If you need help building the armnnDelegate, please take a look at our [build guide](delegate/BuildGuideNative.md).
-An example how to setup TfLite to integrate the armnnDelegate can be found in this
-guide: [Integrate the delegate into python](delegate/IntegrateDelegateIntoPython.md)
-
-
-@section delegatesupport Supported Operators
-This reference guide provides a list of TensorFlow Lite operators the Arm NN SDK currently supports.
-
-@subsection delegatefullysupported Fully supported
-
-The Arm NN SDK TensorFlow Lite delegate currently supports the following operators:
-
-- ABS
-
-- ADD
-
-- ARGMAX
-
-- ARGMIN
-
-- AVERAGE_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- BATCH_TO_SPACE_ND
-
-- CAST
-
-- CONCATENATION, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- CONV_3D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- DEPTH_TO_SPACE
-
-- DEPTHWISE_CONV_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- DEQUANTIZE
-
-- DIV
-
-- EQUAL
-
-- ELU
-
-- EXP
-
-- FULLY_CONNECTED, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- FLOOR
-
-- GATHER
-
-- GREATER
-
-- GREATER_OR_EQUAL
-
-- HARD_SWISH
-
-- LESS
-
-- LESS_OR_EQUAL
-
-- LOCAL_RESPONSE_NORMALIZATION
-
-- LOGICAL_AND
-
-- LOGICAL_NOT
-
-- LOGICAL_OR
-
-- LOGISTIC
-
-- LOG_SOFTMAX
-
-- LSTM
-
-- L2_NORMALIZATION
-
-- L2_POOL_2D
-
-- MAXIMUM
-
-- MAX_POOL_2D, Supported Fused Activation: RELU , RELU6 , TANH, NONE
-
-- MEAN
-
-- MINIMUM
-
-- MIRROR_PAD
-
-- MUL
-
-- NEG
-
-- NOT_EQUAL
-
-- PACK
-
-- PAD
-
-- PRELU
-
-- QUANTIZE
-
-- RANK
-
-- REDUCE_MAX
-
-- REDUCE_MIN
-
-- RESHAPE
-
-- RESIZE_BILINEAR
-
-- RESIZE_NEAREST_NEIGHBOR
-
-- RELU
-
-- RELU6
-
-- RSQRT
-
-- SHAPE
-
-- SOFTMAX
-
-- SPACE_TO_BATCH_ND
-
-- SPACE_TO_DEPTH
-
-- SPLIT
-
-- SPLIT_V
-
-- SQRT
-
-- STRIDED_SLICE
-
-- SUB
-
-- SUM
-
-- TANH
-
-- TRANSPOSE
-
-- TRANSPOSE_CONV
-
-- UNIDIRECTIONAL_SEQUENCE_LSTM
-
-- UNPACK
-
-More machine learning operators will be supported in future releases.
-**/
-}
\ No newline at end of file