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, 3333 deletions

diff --git a/docs/05_operator_list.dox b/docs/05_operator_list.dox
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index 90aee130bf..0000000000
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-/// Copyright (c) 2021 ARM Limited and Contributors. All rights reserved.
-///
-/// SPDX-License-Identifier: MIT
-///
-
-namespace armnn
-{
-/**
-@page operator_list Arm NN Operators
-
-@tableofcontents
-
-@section S5_1_operator_list Arm NN Operators
-
-Arm NN supports operators that are listed in below table.
-
-Arm NN supports a wide list of data-types.
-The main data-types that the Machine Learning functions support are the following:
-  <ul>
-    <li><b>BFLOAT16:</b> 16-bit non-standard brain floating point
-    <li><b>QASYMMU8:</b> 8-bit unsigned asymmetric quantized
-    <li><b>QASYMMS8:</b> 8-bit signed asymmetric quantized
-    <li><b>QUANTIZEDSYMM8PERAXIS:</b> 8-bit signed symmetric quantized
-    <li><b>QSYMMS8:</b> 8-bit unsigned symmetric quantized
-    <li><b>QSYMMS16:</b> 16-bit unsigned symmetric quantized
-    <li><b>FLOAT32:</b> 32-bit single precision floating point
-    <li><b>FLOAT16:</b> 16-bit half precision floating point
-    <li><b>SIGNED32:</b> 32-bit signed integer
-    <li><b>BOOLEAN:</b> 8-bit unsigned char
-    <li><b>All:</b> Agnostic to any specific data type
-  </ul>
-
-Arm NN supports the following data layouts (fast changing dimension from right to left):
-  <ul>
-    <li><b>NHWC:</b> Layout where channels are in the fastest changing dimension
-    <li><b>NCHW:</b> Layout where width is in the fastest changing dimension
-    <li><b>All:</b> Agnostic to any specific data layout
-  </ul>
-where N = batches, C = channels, H = height, W = width
-
-<table>
-<caption id="multi_row"></caption>
-<tr>
-  <th>Operator
-  <th>Description
-  <th>Equivalent Android NNAPI Operator
-  <th>Backends
-  <th>Data Layouts
-  <th>Data Types
-<tr>
-  <td rowspan="3">AbsLayer
-  <td rowspan="3"> Layer to perform absolute operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_ABS
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-       <tr><th>
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>SIGNED32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-       <tr><th>
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ActivationLayer
-  <td rowspan="3" style="width:200px;"> Layer to simulate an activation layer with the specified activation function.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_ABS
-       <li>ANEURALNETWORKS_ELU
-       <li>ANEURALNETWORKS_HARD_SWISH
-       <li>ANEURALNETWORKS_LOGISTIC
-       <li>ANEURALNETWORKS_PRELU
-       <li>ANEURALNETWORKS_RELU
-       <li>ANEURALNETWORKS_RELU1
-       <li>ANEURALNETWORKS_RELU6
-       <li>ANEURALNETWORKS_SQRT
-       <li>ANEURALNETWORKS_TANH
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-    <ul>
-      <li>All
-    </ul>
-  <td>
-    <table>
-      <tr><th>
-      <tr><td>QASYMMU8
-      <tr><td>QASYMMS8
-      <tr><td>QSYMMS16
-      <tr><td>FLOAT16
-      <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-      <tr><th>
-      <tr><td>QASYMMU8
-      <tr><td>QASYMMS8
-      <tr><td>QSYMMS16
-      <tr><td>FLOAT16
-      <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">AdditionLayer
-  <td rowspan="3" style="width:200px;"> Layer to add 2 tensors.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_ADD
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ArgMinMaxLayer
-  <td rowspan="3" style="width:200px;"> Layer to calculate the index of the minimum or maximum values in a tensor
-  based on an axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_ARGMAX
-       <li>ANEURALNETWORKS_ARGMIN
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-       <tr><td>SIGNED64
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">BatchNormalizationLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform batch normalization.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT32
-    <tr><td>FLOAT16
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT32
-    <tr><td>FLOAT16
-    </table>
-<tr>
-  <td rowspan="3">BatchToSpaceNdLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform a batch to space transformation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_BATCH_TO_SPACE_ND
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">CastLayer
-  <td rowspan="3" style="width:200px;"> Layer to cast a tensor to a type.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_CAST
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QSYMMS8
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMS8
-    <tr><td>QASYMMU8
-    <tr><td>FLOAT16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMS8
-    <tr><td>QASYMMU8
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ChannelShuffleLayer
-  <td rowspan="3" style="width:200px;"> Layer to reorganize the channels of a tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_CHANNEL_SHUFFLE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QSYMMS8
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMS8
-    <tr><td>QASYMMU8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMS8
-    <tr><td>QASYMMU8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ComparisonLayer
-  <td rowspan="3" style="width:200px;"> Layer to compare 2 tensors.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_EQUAL
-       <li>ANEURALNETWORKS_GREATER
-       <li>ANEURALNETWORKS_GREATER_EQUAL
-       <li>ANEURALNETWORKS_LESS
-       <li>ANEURALNETWORKS_LESS_EQUAL
-       <li>ANEURALNETWORKS_NOT_EQUAL
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>BOOLEAN
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-   <td>CpuAcc
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">ConcatLayer
-  <td rowspan="3" style="width:200px;"> Layer to concatenate tensors along a given axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_CONCATENATION
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ConstantLayer
-  <td rowspan="3" style="width:200px;"> Layer to provide a constant tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">ConvertBf16ToFp32Layer
-  <td rowspan="3" style="width:200px;"> Layer to convert BFloat16 tensor to Float32 tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>BFLOAT16
-         <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>BFLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>BFLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ConvertFp16ToFp32Layer
-  <td rowspan="3" style="width:200px;"> Layer to convert Float16 tensor to Float32 tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>FLOAT16
-         <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>FLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>FLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ConvertFp32ToBf16Layer
-  <td rowspan="3" style="width:200px;"> Layer to convert Float32 tensor to BFloat16 tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>BFLOAT16
-         <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>BFLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>BFLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ConvertFp32ToFp16Layer
-  <td rowspan="3" style="width:200px;"> Layer to convert Float32 tensor to Float16 tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>FLOAT16
-         <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>FLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-         <tr><th>
-         <tr><td>FLOAT16
-         <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">Convolution2dLayer
-  <td rowspan="3" style="width:200px;"> Layer to compute a convolution operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_CONV_2D
-       <li>ANEURALNETWORKS_GROUPED_CONV_2D
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    </table>
-<tr>
-  <td rowspan="3">Convolution3dLayer
-  <td rowspan="3" style="width:200px;"> Layer to compute a 3D convolution operation.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>NDHWC
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>N/A
-      </ul>
-  <td>
-      <ul>
-       <li>N/A
-      </ul>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>N/A
-      </ul>
-  <td>
-      <ul>
-       <li>N/A
-      </ul>
-<tr>
-  <td rowspan="1">DebugLayer
-  <td rowspan="1" style="width:200px;"> Layer to print out inter layer tensor information.
-  <td rowspan="1">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td rowspan="3">DepthToSpaceLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform Depth to Space transformation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_DEPTH_TO_SPACE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">DepthwiseConvolution2dLayer
-  <td rowspan="3" style="width:200px;"> Layer to compute a deconvolution or transpose convolution.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_DEPTHWISE_CONV_2D
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    </table>
-<tr>
-  <td rowspan="3">DequantizeLayer
-  <td rowspan="3" style="width:200px;"> Layer to dequantize the values in a tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_DEQUANTIZE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    <tr><td>QSYMMS8
-    <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    <tr><td>QSYMMS8
-    <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td rowspan="2">DetectionPostProcessLayer
-  <td rowspan="2" style="width:200px;"> Layer to generate the detection output based on center size encoded boxes, class prediction and anchors by doing non maximum suppression (NMS).
-  <td rowspan="2">
-      <ul>
-       <li>ANEURALNETWORKS_DETECTION_POSTPROCESSING
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">DivisionLayer
-  <td rowspan="3" style="width:200px;"> Layer to divide 2 tensors.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_DIV
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ElementwiseBaseLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform Add - Div - Max - Min - Mul operations.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_ADD
-       <li>ANEURALNETWORKS_DIV
-       <li>ANEURALNETWORKS_MAXIMUM
-       <li>ANEURALNETWORKS_MINIMUM
-       <li>ANEURALNETWORKS_MUL
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ElementwiseUnaryLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform Rsqrt - Exp - Neg - Log - Abs - Sin - Sqrt operations.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_ABS
-       <li>ANEURALNETWORKS_EXP
-       <li>ANEURALNETWORKS_LOG
-       <li>ANEURALNETWORKS_NEG
-       <li>ANEURALNETWORKS_RSQRT
-       <li>ANEURALNETWORKS_SIN
-       <li>ANEURALNETWORKS_SQRT
-      </ul>
-  <td>CpuRef
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="1">FakeQuantizationLayer
-  <td rowspan="1" style="width:200px;"> Layer to quantize float values and dequantize afterwards. The current implementation does not dequantize the values.
-  <td rowspan="1">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>FLOAT32
-      </table>
-<tr>
-  <td rowspan="3">FillLayer
-  <td rowspan="3" style="width:200px;"> Layer to set the values of a tensor with a given value.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_FILL
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">FloorLayer
-  <td rowspan="3" style="width:200px;"> Layer to round the value to the lowest whole number.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_FLOOR
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT32
-    <tr><td>FLOAT16
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT32
-    <tr><td>FLOAT16
-    </table>
-<tr>
-  <td rowspan="3">FullyConnectedLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform a fully connected / dense operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_FULLY_CONNECTED
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    </table>
-<tr>
-  <td rowspan="3">GatherLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform the gather operation along the chosen axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_GATHER
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="1">InputLayer
-  <td rowspan="1" style="width:200px;"> Special layer used to provide input data to the computational network.
-  <td rowspan="1">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>All
-   <td>
-         <ul>
-          <li>All
-         </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">InstanceNormalizationLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform an instance normalization on a given axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_INSTANCE_NORMALIZATION
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">L2NormalizationLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform an L2 normalization on a given axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_L2_NORMALIZATION
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">LogSoftmaxLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform the log softmax activations given logits.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">LogicalBinaryLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform Logical AND - Logical NOT - Logical OR operations.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_LOGICAL_AND
-       <li>ANEURALNETWORKS_LOGICAL_NOT
-       <li>ANEURALNETWORKS_LOGICAL_OR
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>BOOLEAN
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>BOOLEAN
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>BOOLEAN
-    </table>
-<tr>
-  <td rowspan="3">LstmLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform a single time step in a Long Short-Term Memory (LSTM) operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_LSTM
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">MapLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform map operation on tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">MaximumLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform an elementwise maximum of two tensors.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td rowspan="3">MeanLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform reduce mean operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_MEAN
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">MemCopyLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform memory copy operation.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>BOOLEAN
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">MemImportLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform memory import operation.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">MergeLayer
-  <td rowspan="3" style="width:200px;"> Layer to concatenate tensors along a given axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_CONCATENATION
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">MinimumLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform an elementwise minimum of two tensors.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_MINIMUM
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td rowspan="3">MultiplicationLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform an elementwise multiplication of two tensors.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_MUL
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td rowspan="3">NormalizationLayer
-  <td rowspan="3" style="width:200px;"> Layer to compute normalization operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT32
-    <tr><td>FLOAT16
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT32
-    <tr><td>FLOAT16
-    </table>
-<tr>
-  <td rowspan="1">OutputLayer
-  <td rowspan="1" style="width:200px;"> A special layer providing access to a user supplied buffer into which the output of a network can be written.
-  <td rowspan="1">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>All
-   <td>
-         <ul>
-          <li>All
-         </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">PadLayer
-  <td rowspan="3" style="width:200px;"> Layer to pad a tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_PAD
-       <li>ANEURALNETWORKS_PAD_V2
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">PermuteLayer
-  <td rowspan="3" style="width:200px;"> Layer to transpose an ND tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">Pooling2dLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform pooling with the specified pooling operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_AVERAGE_POOL_2D
-       <li>ANEURALNETWORKS_L2_POOL_2D
-       <li>ANEURALNETWORKS_MAX_POOL_2D
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="1">PreCompiledLayer
-  <td rowspan="1" style="width:200px;"> Opaque layer provided by a backend which provides an executable representation of a subgraph from the original network.
-  <td rowspan="1">
-      <ul>  
-       <li>N/A
-      </ul>
-   <td>N/A
-   <td>N/A
-   <td>N/A
-<tr>
-  <td rowspan="3">PreluLayer
-  <td rowspan="3" style="width:200px;"> Layer to compute the activation layer with the PRELU activation function.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_PRELU
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">QLstmLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform quantized LSTM (Long Short-Term Memory) operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_QUANTIZED_LSTM
-       <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMS8
-    <tr><td>QASYMMU8
-    <tr><td>SIGNED32
-    <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMS8
-    <tr><td>QASYMMU8
-    <tr><td>SIGNED32
-    <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td rowspan="3">QuantizeLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform quantization operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_QUANTIZE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QASYMM16
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QASYMM16
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">QuantizedLstmLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform quantized LSTM (Long Short-Term Memory) operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_QUANTIZED_LSTM
-       <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>QASYMMU8
-    <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>QASYMMU8
-    <tr><td>QSYMMS16
-    </table>
-<tr>
-  <td rowspan="3">RankLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform a rank operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_RANK
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">ReduceLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform 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="3">
-      <ul>
-       <li>ANEURALNETWORKS_REDUCE_MAX
-       <li>ANEURALNETWORKS_REDUCE_MIN
-       <li>ANEURALNETWORKS_REDUCE_SUM
-       <li>ANEURALNETWORKS_REDUCE_PROD
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td rowspan="3">ReshapeLayer
-  <td rowspan="3" style="width:200px;"> Layer to reshape a tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_RESHAPE
-       <li>ANEURALNETWORKS_SQUEEZE
-       <li>ANEURALNETWORKS_EXPAND_DIMS
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-       <tr><td>BOOLEAN
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">ResizeLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform resize of a tensor using one of the interpolation methods: - Bilinear -  Nearest Neighbor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_RESIZE_BILINEAR
-       <li>ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">RsqrtLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform Rsqrt operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_RSQRT
-      </ul>
-  <td>CpuRef
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-    </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>SIGNED32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">ShapeLayer
-  <td rowspan="3" style="width:200px;"> Layer to return the shape of the input tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-  <td>CpuRef
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">SliceLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform tensor slicing.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_SLICE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">SoftmaxLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform softmax, log-softmax operation over the specified axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_LOG_SOFTMAX
-       <li>ANEURALNETWORKS_SOFTMAX
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">SpaceToBatchNdLayer
-  <td rowspan="3" style="width:200px;"> Layer to divide spatial dimensions of the tensor into a grid of blocks and interleaves these blocks with the batch dimension.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_SPACE_TO_BATCH_ND
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">SpaceToDepthLayer
-  <td rowspan="3" style="width:200px;"> Layer to rearrange blocks of spatial data into depth.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_SPACE_TO_DEPTH
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">SplitterLayer
-  <td rowspan="3" style="width:200px;"> Layer to split a tensor along a given axis.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_SPLIT
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">StackLayer
-  <td rowspan="3" style="width:200px;"> Layer to stack tensors along an axis.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="1">StandInLayer
-  <td rowspan="1" style="width:200px;"> A layer to represent "unknown" or "unsupported" operations in the input graph. It has a configurable number of input and output slots and an optional name.
-  <td rowspan="1">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>N/A
-   <td>N/A
-   <td>N/A
-<tr>
-  <td rowspan="3">StridedSliceLayer
-  <td rowspan="3" style="width:200px;"> Layer to extract a strided slice of a tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_STRIDED_SLICE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">SubtractionLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform an elementwise subtract of 2 tensors.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_SUB
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-       <tr><td>SIGNED32
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QSYMMS16
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    </table>
-<tr>
-  <td rowspan="3">TransposeConvolution2dLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform 2D transpose convolution (deconvolution) operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>SIGNED32
-    <tr><td>FLOAT16
-    <tr><td>FLOAT32
-    <tr><td>QASYMMU8
-    <tr><td>QASYMMS8
-    <tr><td>QUANTIZEDSYMM8PERAXIS
-    </table>
-<tr>
-  <td rowspan="3">TransposeLayer
-  <td rowspan="3" style="width:200px;"> Layer to transpose a tensor.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_TRANSPOSE
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-       <tr><th>
-       <tr><td>BFLOAT16
-       <tr><td>FLOAT16
-       <tr><td>FLOAT32
-       <tr><td>QASYMMS8
-       <tr><td>QASYMMU8
-       <tr><td>QSYMMS16
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>All
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td rowspan="3">UnidirectionalSquenceLstmLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform unidirectional sequence LSTM operation.
-  <td rowspan="3">
-      <ul>
-       <li>ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_LSTM
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>Input Types
-         <tr><td>FLOAT32
-      </table>
-      <table>
-         <tr><th>Weight Types
-         <tr><td>FLOAT32
-         <tr><td>QASYMMS8
-      </table>
-<tr>
-  <td rowspan="3">UnmapLayer
-  <td rowspan="3" style="width:200px;"> Layer to perform unmap operation on tensor.
-  <td rowspan="3">
-      <ul>
-       <li>N/A
-      </ul>
-   <td>CpuRef
-     <td>
-         <ul>
-          <li>All
-         </ul>
-     <td>
-      <table>
-         <tr><th>
-         <tr><td>All
-      </table>
-<tr>
-  <td>CpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-<tr>
-  <td>GpuAcc
-  <td>
-      <ul>
-       <li>NHWC
-       <li>NCHW
-      </ul>
-  <td>
-    <table>
-    <tr><th>
-    <tr><td>All
-    </table>
-</table>
-
-*/
-} // namespace
\ No newline at end of file