Restructure Documentation (Part 2)

The followings are done:
- Move operator list documnetation
- Introduction page is moved to the top
- The sections for experimental API and programming
  model are merged into library architecture page.

Resolves: COMPMID-4198

Change-Id: Iad824d6c8ba8d31e0bf76afd3fb67abbe32a1667
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5570
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 3123 deletions

diff --git a/docs/09_operators_list.dox b/docs/09_operators_list.dox
deleted file mode 100644
index fc41265738..0000000000
--- a/docs/09_operators_list.dox
+++ /dev/null
@@ -1,3123 +0,0 @@
-///
-/// Copyright (c) 2021 Arm Limited.
-///
-/// SPDX-License-Identifier: MIT
-///
-/// Permission is hereby granted, free of charge, to any person obtaining a copy
-/// of this software and associated documentation files (the "Software"), to
-/// deal in the Software without restriction, including without limitation the
-/// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
-/// sell copies of the Software, and to permit persons to whom the Software is
-/// furnished to do so, subject to the following conditions:
-///
-/// The above copyright notice and this permission notice shall be included in all
-/// copies or substantial portions of the Software.
-///
-/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-/// SOFTWARE.
-///
-namespace arm_compute
-{
-/**
-@page operators_list Supported Operators
-
-@tableofcontents
-
-@section S9_1_operators_list Supported Operators
-
-Compute Library supports operators that are listed in below table.
-
-Compute Library supports a wide list of data-types, information can been directly found in the documentation of each kernel/function.
-The main data-types that the Machine Learning functions support are the following:
-  <ul>
-    <li>BFLOAT16: 16-bit non-standard brain floating point
-    <li>QASYMM8: 8-bit unsigned asymmetric quantized
-    <li>QASYMM8_SIGNED: 8-bit signed asymmetric quantized
-    <li>QSYMM8_PER_CHANNEL: 8-bit signed symmetric quantized (Used for the weights)
-    <li>QSYMM8: 8-bit unsigned symmetric quantized
-    <li>QSYMM16: 16-bit unsigned symmetric quantized
-    <li>F32: 32-bit single precision floating point
-    <li>F16: 16-bit half precision floating point
-    <li>S32: 32-bit signed integer
-    <li>U8: 8-bit unsigned char
-    <li>All: include all above data types
-  </ul>
-
-Compute Library supports the following data layouts (fast changing dimension from right to left):
-  <ul>
-    <li>NHWC: The native layout of Compute Library that delivers the best performance where channels are in the fastest changing dimension
-    <li>NCHW: Legacy layout where width is in the fastest changing dimension
-    <li>All: include all above data layouts
-  </ul>
-where N = batches, C = channels, H = height, W = width
-
-<table>
-<caption id="multi_row"></caption>
-<tr>
-  <th>Function
-  <th>Description
-  <th>Equivalent Android NNAPI Op
-  <th>Backends
-  <th>Data Layouts
-  <th>Data Types
-<tr>
-  <td rowspan="2">ActivationLayer
-  <td rowspan="2" style="width:200px;"> Function to simulate an activation layer with the specified activation function.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_ELU
-       <li>ANEURALNETWORKS_HARD_SWISH
-       <li>ANEURALNETWORKS_LOGISTIC
-       <li>ANEURALNETWORKS_RELU
-       <li>ANEURALNETWORKS_RELU1
-       <li>ANEURALNETWORKS_RELU6
-       <li>ANEURALNETWORKS_TANH
-      </ul>
-  <td>NEActivationLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLActivationLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">ArgMinMaxLayer
-  <td rowspan="2" style="width:200px;"> Function to calculate the index of the minimum or maximum values in a tensor based on an axis.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_ARGMAX
-       <li>ANEURALNETWORKS_ARGMIN
-      </ul>
-  <td>NEArgMinMaxLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>U32, S32
-    <tr><td>QASYMM8_SIGNED<td>U32, S32
-    <tr><td>S32<td>U32, S32
-    <tr><td>F16<td>U32, S32
-    <tr><td>F32<td>U32, S32
-    </table>
-<tr>
-  <td>CLArgMinMaxLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>U32, S32
-    <tr><td>QASYMM8_SIGNED<td>U32, S32
-    <tr><td>S32<td>U32, S32
-    <tr><td>F16<td>U32, S32
-    <tr><td>F32<td>U32, S32
-    </table>
-<tr>
-  <td rowspan="1">ArithmeticAddition
-  <td rowspan="1" style="width:200px;"> Function to add 2 tensors.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_ADD
-      </ul>
-  <td>NEArithmeticAddition
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>QSYMM16<td>QSYMM16<td>S32
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>U8<td>U8<td>S16
-    <tr><td>U8<td>S16<td>S16
-    <tr><td>S16<td>U8<td>S16
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="1">ArithmeticSubtraction
-  <td rowspan="1" style="width:200px;"> Function to substract 2 tensors.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_SUB
-      </ul>
-  <td>NEArithmeticSubtraction
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>QSYMM16<td>QSYMM16<td>S32
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>U8<td>U8<td>S16
-    <tr><td>U8<td>S16<td>S16
-    <tr><td>S16<td>U8<td>S16
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">BatchNormalizationLayer
-  <td rowspan="2" style="width:200px;"> Function to perform batch normalization.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEBatchNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td>CLBatchNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">BatchToSpaceLayer
-  <td rowspan="2" style="width:200px;"> Batch to space transformation.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_BATCH_TO_SPACE_ND
-      </ul>
-  <td>NEBatchToSpaceLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>All<td>s32<td>All
-    </table>
-<tr>
-  <td>CLBatchToSpaceLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>All<td>s32<td>All
-    </table>
-<tr>
-  <td rowspan="2">BitwiseAnd
-  <td rowspan="2" style="width:200px;"> Function to performe bitwise AND between 2 tensors.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_LOGICAL_AND
-      </ul>
-  <td>NEBitwiseAnd
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td>CLBitwiseAnd
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="2">BitwiseNot
-  <td rowspan="2" style="width:200px;"> Function to performe bitwise NOT.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_LOGICAL_NOT
-      </ul>
-  <td>NEBitwiseNot
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td>CLBitwiseNot
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="2">BitwiseOr
-  <td rowspan="2" style="width:200px;"> Function to performe bitwise OR between 2 tensors.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_LOGICAL_OR
-      </ul>
-  <td>NEBitwiseOr
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td>CLBitwiseOr
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="2">BitwiseXor
-  <td rowspan="2" style="width:200px;"> Function to performe bitwise XOR between 2 tensors.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEBitwiseXor
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td>CLBitwiseXor
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="2">BoundingBoxTransform
-  <td rowspan="2" style="width:200px;"> Transform proposal bounding boxes to target bounding box using bounding box deltas.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEBoundingBoxTransform
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM16<td>QASYMM8<td>QASYMM16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLBoundingBoxTransform
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM16<td>QASYMM8<td>QASYMM16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">Cast
-  <td rowspan="2" style="width:200px;"> Function to cast a tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CAST
-      </ul>
-  <td>NECast
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8_SIGNED<td>S16, S32, F32, F16
-    <tr><td>QASYMM8<td>U16, S16, S32, F32, F16
-    <tr><td>U8<td>U16, S16, S32, F32, F16
-    <tr><td>U16<td>U8, U32
-    <tr><td>S16<td>QASYMM8_SIGNED, U8, S32
-    <tr><td>F16<td>QASYMM8_SIGNED, QASYMM8, F32, S32, U8
-    <tr><td>S32<td>QASYMM8_SIGNED, QASYMM8, F16, F32, U8
-    <tr><td>F32<td>QASYMM8_SIGNED, QASYMM8, BFLOAT16, F16, S32, U8
-    </table>
-<tr>
-  <td>CLCast
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>S8, U16, S16, U32, S32, F16, F32
-    <tr><td>U16<td>U8, S8, S16, U32, S32, F16, F32
-    <tr><td>S16<td>U8, S8, U16, U32, S32, F16, F32
-    <tr><td>U32<td>U8, S8, U16, S16, S32, F16, F32
-    <tr><td>S32<td>U8, S8, U16, S16, U32, F16, F32
-    <tr><td>F16<td>U8, S8, U16, S16, U32, F32
-    <tr><td>F32<td>U8, S8, U16, S16, U32, F16
-    </table>
-<tr>
-  <td rowspan="2">ChannelShuffleLayer
-  <td rowspan="2" style="width:200px;"> Function to shuffle the channels of the input tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CHANNEL_SHUFFLE
-      </ul>
-  <td>NEChannelShuffleLayer
-  <td>
-      <ul>
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLChannelShuffleLayer
-  <td>
-      <ul>
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="1">Comparison
-  <td rowspan="1" style="width:200px;"> Function to compare 2 tensors.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_EQUAL
-       <li>ANEURALNETWORKS_GREATER
-       <li>ANEURALNETWORKS_GREATER_EQUAL
-       <li>ANEURALNETWORKS_LESS
-       <li>ANEURALNETWORKS_LESS_EQUAL
-       <li>ANEURALNETWORKS_NOT_EQUAL
-      </ul>
-  <td>CLComparison
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>All<td>All<td>U8
-    </table>
-<tr>
-  <td rowspan="2">ConcatenateLayer
-  <td rowspan="2" style="width:200px;"> Function to concatenate tensors along a given axis.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CONCATENATION
-      </ul>
-  <td>NEConcatenateLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLConcatenateLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">ConvertFullyConnectedWeights
-  <td rowspan="2" style="width:200px;"> Function to tranpose the wieghts for the fully connected layer.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEConvertFullyConnectedWeights
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLConvertFullyConnectedWeights
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">ConvolutionLayer
-  <td rowspan="2" style="width:200px;"> Function to compute a convolution layer.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-      </ul>
-  <td>NEConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="2">Copy
-  <td rowspan="2" style="width:200px;"> Function to copy a tensor.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NECopy
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLCopy
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="1">Crop
-  <td rowspan="1" style="width:200px;"> Performs a copy of input tensor to the output tensor.
-  <td rowspan="1">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>CLCrop
-  <td>
-      <ul>
-       <li>NHWC
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>F32
-    </table>
-<tr>
-  <td rowspan="2">CropResize
-  <td rowspan="2" style="width:200px;"> Function to perform cropping and resizing.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NECropResize
-  <td>
-      <ul>
-       <li>NHWC
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>All<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLCropResize
-  <td>
-      <ul>
-       <li>NHWC
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>All<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">DeconvolutionLayer
-  <td rowspan="2" style="width:200px;"> Function to compute a deconvolution or tranpose convolution.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
-      </ul>
-  <td>NEDeconvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLDeconvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="1">DeconvolutionLayerUpsample
-  <td rowspan="1" style="width:200px;"> Function to execute deconvolution upsample on OpenCL.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
-      </ul>
-  <td>CLDeconvolutionLayerUpsample
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">DepthConvertLayer
-  <td rowspan="2" style="width:200px;"> Performs a down-scaling depth conversion.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEDepthConvertLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>F16, F32
-    <tr><td>U8<td>U16, S16, S32
-    <tr><td>U16<td>U8, U32
-    <tr><td>S16<td>U8, S32
-    <tr><td>BFLOAT16<td>F32
-    <tr><td>F16<td>QASYMM8, F32
-    <tr><td>F32<td>QASYMM8, F16, BFLOAT16
-    </table>
-<tr>
-  <td>CLDepthConvertLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>S8, U16, S16, U32, S32, F16, F32
-    <tr><td>U16<td>U8, S8, S16, U32, S32, F16, F32
-    <tr><td>S16<td>U8, S8, U16, U32, S32, F16, F32
-    <tr><td>U32<td>U8, S8, U16, S16, S32, F16, F32
-    <tr><td>S32<td>U8, S8, U16, S16, U32, F16, F32
-    <tr><td>F16<td>U8, S8, U16, S16, U32, F32
-    <tr><td>F32<td>U8, S8, U16, S16, U32, F16
-    </table>
-<tr>
-  <td rowspan="2">DepthToSpaceLayer
-  <td rowspan="2" style="width:200px;"> Depth to Space transformation.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_DEPTH_TO_SPACE
-      </ul>
-  <td>NEDepthToSpaceLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLDepthToSpaceLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">DepthwiseConvolutionLayer
-  <td rowspan="2" style="width:200px;"> Function to perform depthwise separable convolution.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_DEPTHWISE_CONV_2D
-      </ul>
-  <td>NEDepthwiseConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLDepthwiseConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="2">DequantizationLayer
-  <td rowspan="2" style="width:200px;"> Function to dequantize the values in a tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_DEQUANTIZE
-      </ul>
-  <td>NEDequantizationLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>F16, F32
-    <tr><td>QASYMM8_SIGNED<td>F16, F32
-    <tr><td>QSYMM8_PER_CHANNEL<td>F16, F32
-    <tr><td>QSYMM8<td>F16, F32
-    <tr><td>QSYMM16<td>F16, F32
-    </table>
-<tr>
-  <td>CLDequantizationLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>F16, F32
-    <tr><td>QASYMM8_SIGNED<td>F16, F32
-    <tr><td>QSYMM8_PER_CHANNEL<td>F16, F32
-    <tr><td>QSYMM8<td>F16, F32
-    <tr><td>QSYMM16<td>F16, F32
-    </table>
-<tr>
-  <td rowspan="1">DetectionPostProcessLayer
-  <td rowspan="1" style="width:200px;"> Function to generate the detection output based on center size encoded boxes, class prediction and anchors by doing non maximum suppression (NMS).
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_DETECTION_POSTPROCESSING
-      </ul>
-  <td>NEDetectionPostProcessLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0 - src2<th>dst0 - dst3
-    <tr><td>QASYMM8<td>F32
-    <tr><td>QASYMM8_SIGNED<td>F32
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">DirectConvolutionLayer
-  <td rowspan="2" style="width:200px;"> Function to compute direct convolution.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-      </ul>
-  <td>NEDirectConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLDirectConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="1">DirectDeconvolutionLayer
-  <td rowspan="1" style="width:200px;"> Function to run the deconvolution layer.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
-      </ul>
-  <td>CLDirectDeconvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="13">ElementWiseOperations
-  <td rowspan="13" style="width:200px;"> Function to perform in Cpu: - Div - Max - Min - Pow - SquaredDiff - Comparisons (Equal, greater, greater_equal, less, less_equal, not_equal) Function to perform in CL: - Add - Sub - Div - Max - Min - Pow - SquaredDiff
-  <td rowspan="13">
-      <ul>
-       <li>ANEURALNETWORKS_MAXIMUM
-       <li>ANEURALNETWORKS_MINIMUM
-       <li>ANEURALNETWORKS_POW
-       <li>ANEURALNETWORKS_DIV
-       <li>ANEURALNETWORKS_ADD
-       <li>ANEURALNETWORKS_SUB
-       <li>ANEURALNETWORKS_EQUAL
-       <li>ANEURALNETWORKS_GREATER
-       <li>ANEURALNETWORKS_GREATER_EQUAL
-       <li>ANEURALNETWORKS_LESS
-       <li>ANEURALNETWORKS_LESS_EQUAL
-       <li>ANEURALNETWORKS_NOT_EQUAL
-      </ul>
-  <td>NEElementwiseMax
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>NEElementwiseMin
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>NEElementwiseSquaredDiff
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>NEElementwiseDivision
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>NEElementwisePower
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>NEElementwiseComparison
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>U8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>U8
-    <tr><td>S32<td>S32<td>U8
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>S16<td>S16<td>U8
-    <tr><td>F16<td>F16<td>U8
-    <tr><td>F32<td>F32<td>U8
-    </table>
-<tr>
-  <td>CLArithmeticAddition
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>U8<td>U8<td>S16
-    <tr><td>U8<td>S16<td>S16
-    <tr><td>S16<td>U8<td>S16
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLArithmeticSubtraction
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>U8<td>U8<td>S16
-    <tr><td>U8<td>S16<td>S16
-    <tr><td>S16<td>U8<td>S16
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLArithmeticDivision
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLElementwiseMax
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>U32<td>U32<td>U32
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLElementwiseMin
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>S32<td>S32<td>S32
-    <tr><td>U32<td>U32<td>U32
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLElementwiseSquaredDiff
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLElementwisePower
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="8">ElementwiseUnaryLayer
-  <td rowspan="8" style="width:200px;"> Function to perform: - Rsqrt - Exp - Neg - Log - Abs - Round - Sin
-  <td rowspan="8">
-      <ul>
-       <li>ANEURALNETWORKS_ABS
-       <li>ANEURALNETWORKS_EXP
-       <li>ANEURALNETWORKS_LOG
-       <li>ANEURALNETWORKS_NEG
-       <li>ANEURALNETWORKS_RSQRT
-       <li>ANEURALNETWORKS_SIN
-      </ul>
-  <td>NEElementwiseUnaryLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    <tr><td>S32<td>S32
-    </table>
-<tr>
-  <td>CLRsqrtLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLExpLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLNegLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLSinLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLLogLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLAbsLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLRoundLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">FFT1D
-  <td rowspan="2" style="width:200px;"> Fast Fourier Transform 1D.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEFFT1D
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLFFT1D
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">FFT2D
-  <td rowspan="2" style="width:200px;"> Fast Fourier Transform 2D.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEFFT2D
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLFFT2D
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">FFTConvolutionLayer
-  <td rowspan="2" style="width:200px;"> Fast Fourier Transform Convolution.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-      </ul>
-  <td>NEFFTConvolutionLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLFFTConvolutionLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">Fill
-  <td rowspan="2" style="width:200px;"> Set the values of a tensor with a given value.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_FILL
-      </ul>
-  <td>NEFill
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLFill
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">FillBorder
-  <td rowspan="2" style="width:200px;"> Function to .
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEFillBorder
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLFillBorder
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">FlattenLayer
-  <td rowspan="2" style="width:200px;"> Reshape a tensor to be 1D
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_RESHAPE
-      </ul>
-  <td>NEFlattenLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLFlattenLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Floor
-  <td rowspan="2" style="width:200px;"> Round the value to the lowest number.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_FLOOR
-      </ul>
-  <td>NEFloor
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td>CLFloor
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">FullyConnectedLayer
-  <td rowspan="2" style="width:200px;"> Function to perform a fully connected / dense layer.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_FULLY_CONNECTED
-      </ul>
-  <td>NEFullyConnectedLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLFullyConnectedLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="2">FuseBatchNormalization
-  <td rowspan="2" style="width:200px;"> Function to fuse the batch normalization node to a preceding convolution node.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEFuseBatchNormalization
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td>CLFuseBatchNormalization
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">Gather
-  <td rowspan="2" style="width:200px;"> Performs the Gather operation along the chosen axis.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_GATHER
-      </ul>
-  <td>NEGather
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLGather
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">GEMM
-  <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEGEMM
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>BFLOAT16<td>BFLOAT16<td>BFLOAT16<td>BFLOAT16
-    </table>
-<tr>
-  <td>CLGEMM
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>F16<td>F16<td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="1">GEMMConv2D
-  <td rowspan="1" style="width:200px;"> General Matrix Multiplication.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-      </ul>
-  <td>NEGEMMConv2d
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>BFLOAT16<td>BFLOAT16<td>BFLOAT16<td>BFLOAT16
-    </table>
-<tr>
-  <td rowspan="2">GEMMConvolutionLayer
-  <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-      </ul>
-  <td>NEGEMMConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>BFLOAT16<td>BFLOAT16<td>BFLOAT16<td>BFLOAT16
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLGEMMConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="1">GEMMDeconvolutionLayer
-  <td rowspan="1" style="width:200px;"> General Matrix Multiplication.
-  <td rowspan="1">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
-      </ul>
-  <td>CLGEMMDeconvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="2">GEMMLowpMatrixMultiplyCore
-  <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEGEMMLowpMatrixMultiplyCore
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>S32
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
-    <tr><td>QASYMM8<td>QSYMM8<td>S32<td>S32
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>S32
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>S32
-    </table>
-<tr>
-  <td>CLGEMMLowpMatrixMultiplyCore
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QSYMM8<td>S32<td>QASYMM8
-    <tr><td>QASYMM8<td>QASYMM8<td>S32<td>S32
-    <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
-    <tr><td>QASYMM8<td>QSYMM8<td>S32<td>S32
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>QASYMM8_SIGNED
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>S32
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
-    <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>S32
-    </table>
-<tr>
-  <td rowspan="2">GEMMLowpOutputStage
-  <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEGEMMLowpOutputStage
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>S32<td>S32<td>QASYMM8
-    <tr><td>S32<td>S32<td>QASYMM8_SIGNED
-    <tr><td>S32<td>S32<td>QSYMM16
-    </table>
-<tr>
-  <td>CLGEMMLowpOutputStage
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>S32<td>S32<td>QASYMM8
-    <tr><td>S32<td>S32<td>QASYMM8_SIGNED
-    <tr><td>S32<td>S32<td>QSYMM16
-    </table>
-<tr>
-  <td rowspan="2">GenerateProposalsLayer
-  <td rowspan="2" style="width:200px;"> Function to generate proposals for a RPN (Region Proposal Network).
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_GENERATE_PROPOSALS
-      </ul>
-  <td>NEGenerateProposalsLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QSYMM8<td>QSYMM16<td>QASYMM8
-    </table>
-<tr>
-  <td>CLGenerateProposalsLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QSYMM8<td>QSYMM16<td>QASYMM8
-    </table>
-<tr>
-  <td rowspan="2">InstanceNormalizationLayer
-  <td rowspan="2" style="width:200px;"> Function to perform a Instance normalization on a given axis.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_INSTANCE_NORMALIZATION
-      </ul>
-  <td>NEInstanceNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLInstanceNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">L2NormalizeLayer
-  <td rowspan="2" style="width:200px;"> Function to perform a L2 normalization on a given axis.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_L2_NORMALIZATION
-      </ul>
-  <td>NEL2NormalizeLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLL2NormalizeLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="3">Logical
-  <td rowspan="3" style="width:200px;"> Function to perform: - Logical AND - Logical OR - Logical NOT
-  <td rowspan="3">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NELogicalAnd
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>U8<td>U8<td>U8
-    </table>
-<tr>
-  <td>NELogicalOr
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>U8<td>U8<td>U8
-    </table>
-<tr>
-  <td>NELogicalNot
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="1">LogicalAnd
-  <td rowspan="1" style="width:200px;"> Function to perform Logical AND.
-  <td rowspan="1">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>CLLogicalAnd
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>U8<td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="1">LogicalOr
-  <td rowspan="1" style="width:200px;"> Function to perform Logical OR.
-  <td rowspan="1">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>CLLogicalOr
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>U8<td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="1">LogicalNot
-  <td rowspan="1" style="width:200px;"> Function to perform Logical NOT.
-  <td rowspan="1">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>CLLogicalNot
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>U8<td>U8
-    </table>
-<tr>
-  <td rowspan="2">LSTMLayer
-  <td rowspan="2" style="width:200px;"> Function to perform a single time step in a Long Short-Term Memory (LSTM) layer.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_LSTM
-      </ul>
-  <td>NELSTMLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0 - src13<th>dst0 - dst3
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLLSTMLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0 - src13<th>dst0 - dst3
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">LSTMLayerQuantized
-  <td rowspan="2" style="width:200px;"> Function to perform quantized LSTM (Long Short-Term Memory)
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_QUANTIZED_LSTM
-       <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM
-      </ul>
-  <td>NELSTMLayerQuantized
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0 - src8<th>src9 - src12<th>src13<th>src14<th>dst0<th>dst1
-    <tr><td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8<td>QSYMM16<td>QASYMM8
-    </table>
-<tr>
-  <td>CLLSTMLayerQuantized
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0 - src8<th>src9 - src12<th>src13<th>src14<th>dst0<th>dst1
-    <tr><td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8<td>QSYMM16<td>QASYMM8
-    </table>
-<tr>
-  <td rowspan="2">MaxUnpoolingLayer
-  <td rowspan="2" style="width:200px;"> Function to perform MaxUnpooling.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEMaxUnpoolingLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLMaxUnpoolingLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">MeanStdDevNormalizationLayer
-  <td rowspan="2" style="width:200px;"> Function to execute mean and standard deviation normalization.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEMeanStdDevNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td>CLMeanStdDevNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">NormalizationLayer
-  <td rowspan="2" style="width:200px;"> Function to compute normalization layer.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION
-      </ul>
-  <td>NENormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td>CLNormalizationLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F32<td>F32
-    <tr><td>F16<td>F16
-    </table>
-<tr>
-  <td rowspan="2">PadLayer
-  <td rowspan="2" style="width:200px;"> Function to pad a tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_PAD
-       <li>ANEURALNETWORKS_PAD_V2
-      </ul>
-  <td>NEPadLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLPadLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Permute
-  <td rowspan="2" style="width:200px;"> Function to transpose an ND tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE
-      </ul>
-  <td>NEPermute
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLPermute
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">PixelWiseMultiplication
-  <td rowspan="2" style="width:200px;"> Function to performe a multiplication.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_MUL
-      </ul>
-  <td>NEPixelWiseMultiplication
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>QSYMM16<td>QSYMM16<td>S32
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>U8<td>U8<td>S16
-    <tr><td>U8<td>S16<td>S16
-    <tr><td>S16<td>U8<td>S16
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>S32<td>F32
-    </table>
-<tr>
-  <td>CLPixelWiseMultiplication
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
-    <tr><td>QSYMM16<td>QSYMM16<td>S32
-    <tr><td>U8<td>U8<td>U8
-    <tr><td>U8<td>U8<td>S16
-    <tr><td>U8<td>S16<td>S16
-    <tr><td>S16<td>U8<td>S16
-    <tr><td>S16<td>S16<td>S16
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>S32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">PoolingLayer
-  <td rowspan="2" style="width:200px;"> Function to performe pooling with the specified pooling operation.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_AVERAGE_POOL_2D
-       <li>ANEURALNETWORKS_L2_POOL_2D
-       <li>ANEURALNETWORKS_MAX_POOL_2D
-      </ul>
-  <td>NEPoolingLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLPoolingLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">PReluLayer
-  <td rowspan="2" style="width:200px;"> Function to compute the activation layer with the PRELU activation function.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_PRELU
-      </ul>
-  <td>NEPReluLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLPReluLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">PriorBoxLayer
-  <td rowspan="2" style="width:200px;"> Function to compute prior boxes and clip.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEPriorBoxLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLPriorBoxLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">QLSTMLayer
-  <td rowspan="2" style="width:200px;"> Function to perform quantized LSTM (Long Short-Term Memory).
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_QUANTIZED_LSTM
-       <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM
-      </ul>
-  <td>NEQLSTMLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1 - src6<th>src7 -src9<th>src10<th>src11<th>dst0<th>dst1 - dst2
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8_SIGNED<td>QSYMM16<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLQLSTMLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1 - src6<th>src7 -src9<th>src10<th>src11<th>dst0<th>dst1 - dst2
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8_SIGNED<td>QSYMM16<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="2">QuantizationLayer
-  <td rowspan="2" style="width:200px;"> Function to perform quantization layer
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_QUANTIZE
-      </ul>
-  <td>NEQuantizationLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    <tr><td>F16<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    <tr><td>F32<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    </table>
-<tr>
-  <td>CLQuantizationLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    <tr><td>F16<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    <tr><td>F32<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
-    </table>
-<tr>
-  <td rowspan="2">Range
-  <td rowspan="2" style="width:200px;"> Function to generates a sequence of numbers starting from START and extends by increments of 'STEP' up to but not including 'END'.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NERange
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>dst
-    <tr><td>U8
-    <tr><td>S8
-    <tr><td>U16
-    <tr><td>S16
-    <tr><td>U32
-    <tr><td>S32
-    <tr><td>F16
-    <tr><td>F32
-    </table>
-<tr>
-  <td>CLRange
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>dst
-    <tr><td>U8
-    <tr><td>S8
-    <tr><td>QASYMM8
-    <tr><td>U16
-    <tr><td>S16
-    <tr><td>U32
-    <tr><td>S32
-    <tr><td>F16
-    <tr><td>F32
-    </table>
-<tr>
-  <td rowspan="2">ReduceMean
-  <td rowspan="2" style="width:200px;"> Function to performe reduce mean operation.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_MEAN
-      </ul>
-  <td>NEReduceMean
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLReduceMean
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">ReductionOperation
-  <td rowspan="2" style="width:200px;"> Function to performe reduce with the following operations - ARG_IDX_MAX: Index of the max value - ARG_IDX_MIN: Index of the min value - MEAN_SUM:    Mean of sum - PROD:        Product - SUM_SQUARE:  Sum of squares - SUM:         Sum - MIN:         Min - MAX:         Max
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_REDUCE_ALL
-       <li>ANEURALNETWORKS_REDUCE_ANY
-       <li>ANEURALNETWORKS_REDUCE_MAX
-       <li>ANEURALNETWORKS_REDUCE_MIN
-       <li>ANEURALNETWORKS_REDUCE_PROD
-       <li>ANEURALNETWORKS_REDUCE_SUM
-      </ul>
-  <td>NEReductionOperation
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    <tr><td>S32<td>S32
-    </table>
-<tr>
-  <td>CLReductionOperation
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    <tr><td>S32<td>S32
-    </table>
-<tr>
-  <td rowspan="2">ReorgLayer
-  <td rowspan="2" style="width:200px;"> Performs a reorganization layer of input tensor to the output tensor.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEReorgLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLReorgLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">ReshapeLayer
-  <td rowspan="2" style="width:200px;"> Function to reshape a tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_RESHAPE
-       <li>ANEURALNETWORKS_SQUEEZE
-      </ul>
-  <td>NEReshapeLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLReshapeLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Reverse
-  <td rowspan="2" style="width:200px;"> Function to reverse tensor according to axis.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEReverse
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>All<td>U32<td>All
-    </table>
-<tr>
-  <td>CLReverse
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>All<td>U32<td>All
-    </table>
-<tr>
-  <td rowspan="2">RNNLayer
-  <td rowspan="2" style="width:200px;"> Function to perform recurrent neural network layer.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_RNN
-      </ul>
-  <td>NERNNLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>src3<th>dst0<th>dst1
-    <tr><td>F16<td>F16<td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLRNNLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>src3<th>dst0<th>dst1
-    <tr><td>F16<td>F16<td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">ROIAlignLayer
-  <td rowspan="2" style="width:200px;"> Function to perform ROI alignment.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_ROI_ALIGN
-      </ul>
-  <td>NEROIAlignLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM16<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM16<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td>CLROIAlignLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32
-    <tr><td>QASYMM8<td>QASYMM16<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM16<td>QASYMM8_SIGNED
-    </table>
-<tr>
-  <td rowspan="2">ROIPoolingLayer
-  <td rowspan="2" style="width:200px;"> Function to perform ROI pooling.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_ROI_POOLING
-      </ul>
-  <td>NEROIPoolingLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F32<td>U16<td>F32
-    <tr><td>QASYMM8<td>U16<td>QASYMM8
-    </table>
-<tr>
-  <td>CLROIPoolingLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>dst
-    <tr><td>F16<td>U16<td>F16
-    <tr><td>F32<td>U16<td>F32
-    <tr><td>QASYMM8<td>U16<td>QASYMM8
-    </table>
-<tr>
-  <td rowspan="2">Scale
-  <td rowspan="2" style="width:200px;"> Function to perform resize a tensor using to interpolate: - Bilinear - Nearest neighbor
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_RESIZE_BILINEAR
-       <li>ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR
-      </ul>
-  <td>NEScale
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    <tr><td>U8<td>U8
-    <tr><td>S16<td>S16
-    </table>
-<tr>
-  <td>CLScale
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    <tr><td>U8<td>U8
-    <tr><td>S16<td>S16
-    </table>
-<tr>
-  <td rowspan="2">Select
-  <td rowspan="2" style="width:200px;"> Function to select values from 2 tensors depending on an input tensor of booleans.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_SELECT
-      </ul>
-  <td>NESelect
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>U8<td>All<td>All<td>All
-    </table>
-<tr>
-  <td>CLSelect
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>U8<td>All<td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Slice
-  <td rowspan="2" style="width:200px;"> Function to perform tensor slicing.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_SLICE
-      </ul>
-  <td>NESlice
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLSlice
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">SoftmaxLayer
-  <td rowspan="2" style="width:200px;"> Function to compute a SoftmaxLayer and a Log SoftmaxLayer.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_LOG_SOFTMAX
-       <li>ANEURALNETWORKS_SOFTMAX
-      </ul>
-  <td>NESoftmaxLayerGeneric
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td>CLSoftmaxLayerGeneric
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>QASYMM8<td>QASYMM8
-    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="2">SpaceToBatchLayer
-  <td rowspan="2" style="width:200px;"> Function to divide a tensor spatially.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_SPACE_TO_BATCH_ND
-      </ul>
-  <td>NESpaceToBatchLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>All<td>S32<td>S32<td>All
-    </table>
-<tr>
-  <td>CLSpaceToBatchLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>All<td>S32<td>S32<td>All
-    </table>
-<tr>
-  <td rowspan="2">SpaceToDepthLayer
-  <td rowspan="2" style="width:200px;"> Function to rearrange blocks of spatial data into depth.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_SPACE_TO_DEPTH
-      </ul>
-  <td>NESpaceToDepthLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLSpaceToDepthLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Split
-  <td rowspan="2" style="width:200px;"> Function to split a tensor along a given axis.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_SPLIT
-      </ul>
-  <td>NESplit
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLSplit
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">StackLayer
-  <td rowspan="2" style="width:200px;"> Function to stack tensors along an axis.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEStackLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLStackLayer
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">StridedSlice
-  <td rowspan="2" style="width:200px;"> Function to extract a strided slice of a tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_STRIDED_SLICE
-      </ul>
-  <td>NEStridedSlice
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLStridedSlice
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Tile
-  <td rowspan="2" style="width:200px;"> Function to construct a tensor by tiling a given tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_TILE
-      </ul>
-  <td>NETile
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLTile
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Transpose
-  <td rowspan="2" style="width:200px;"> Function to transpose a 2D tensor.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE
-      </ul>
-  <td>NETranspose
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLTranspose
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">Unstack
-  <td rowspan="2" style="width:200px;"> Function to unpack a rank-R tensor into rank-(R-1) tensors.
-  <td rowspan="2">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>NEUnstack
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td>CLUnstack
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>All<td>All
-    </table>
-<tr>
-  <td rowspan="2">WinogradConvolutionLayer
-  <td rowspan="2" style="width:200px;"> Function to do Winograd Convolution.
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-      </ul>
-  <td>NEWinogradConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td>CLWinogradConvolutionLayer
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src0<th>src1<th>src2<th>dst
-    <tr><td>F16<td>F16<td>F16<td>F16
-    <tr><td>F32<td>F32<td>F32<td>F32
-    </table>
-<tr>
-  <td rowspan="1">WinogradInputTransform
-  <td rowspan="1" style="width:200px;"> Function to.
-  <td rowspan="1">
-      <ul>
-       <li>n/a
-      </ul>
-  <td>CLWinogradInputTransform
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>src<th>dst
-    <tr><td>F16<td>F16
-    <tr><td>F32<td>F32
-    </table>
-</table>
-
-*/
-} // namespace
\ No newline at end of file