Update operator list documentation

All the common information for the operators are stored in OperatorList.h.

All data type and data layout information for the operators are store in the function header files.

Partially resolve: COMPMID-4199

Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I272948cfb3f84e42232a82dd84c0158d84642099
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5511
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 784 insertions, 0 deletions

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+///
+/// 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">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>None
+      </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">Copy
+  <td rowspan="2" style="width:200px;"> Function to copy a tensor.
+  <td rowspan="2">
+      <ul>
+       <li>None
+      </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="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
+    <tr><td>QASYMM8<td>F32
+    <tr><td>QASYMM8_SIGNED<td>F16
+    <tr><td>QASYMM8_SIGNED<td>F32
+    <tr><td>QSYMM8_PER_CHANNEL<td>F16
+    <tr><td>QSYMM8_PER_CHANNEL<td>F32
+    <tr><td>QSYMM8<td>F16
+    <tr><td>QSYMM8<td>F32
+    <tr><td>QSYMM16<td>F16
+    <tr><td>QSYMM16<td>F32
+    </table>
+<tr>
+  <td>CLDequantizationLayer
+  <td>
+      <ul>
+       <li>All
+      </ul>
+  <td>
+    <table>
+    <tr><th>src<th>dst
+    <tr><td>QASYMM8<td>F16
+    <tr><td>QASYMM8<td>F32
+    <tr><td>QASYMM8_SIGNED<td>F16
+    <tr><td>QASYMM8_SIGNED<td>F32
+    <tr><td>QSYMM8_PER_CHANNEL<td>F16
+    <tr><td>QSYMM8_PER_CHANNEL<td>F32
+    <tr><td>QSYMM8<td>F16
+    <tr><td>QSYMM8<td>F32
+    <tr><td>QSYMM16<td>F16
+    <tr><td>QSYMM16<td>F32
+    </table>
+<tr>
+  <td rowspan="2">DirectConvolutionLayer
+  <td rowspan="2" style="width:200px;"> Function to
+  <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="2">FFT1D
+  <td rowspan="2" style="width:200px;"> Fast Fourier Transform 1D
+  <td rowspan="2">
+      <ul>
+       <li>None
+      </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>None
+      </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">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">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">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
+    <tr><td>QASYMM8<td>QASYMM8_SIGNED
+    <tr><td>QASYMM8<td>QASYMM16
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
+    <tr><td>QASYMM8_SIGNED<td>QASYMM16
+    <tr><td>F16<td>QASYMM8
+    <tr><td>F16<td>QASYMM8_SIGNED
+    <tr><td>F16<td>QASYMM16
+    <tr><td>F32<td>QASYMM8
+    <tr><td>F32<td>QASYMM8_SIGNED
+    <tr><td>F32<td>QASYMM16
+    </table>
+<tr>
+  <td>CLQuantizationLayer
+  <td>
+      <ul>
+       <li>All
+      </ul>
+  <td>
+    <table>
+    <tr><th>src<th>dst
+    <tr><td>QASYMM8<td>QASYMM8
+    <tr><td>QASYMM8<td>QASYMM8_SIGNED
+    <tr><td>QASYMM8<td>QASYMM16
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
+    <tr><td>QASYMM8_SIGNED<td>QASYMM16
+    <tr><td>F16<td>QASYMM8
+    <tr><td>F16<td>QASYMM8_SIGNED
+    <tr><td>F16<td>QASYMM16
+    <tr><td>F32<td>QASYMM8
+    <tr><td>F32<td>QASYMM8_SIGNED
+    <tr><td>F32<td>QASYMM16
+    </table>
+<tr>
+  <td rowspan="2">ReshapeLayer
+  <td rowspan="2" style="width:200px;"> Fucntion 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">Scale
+  <td rowspan="2" style="width:200px;"> Fucntion to perform resize a tensor using to interpolate: - Bilenear - 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">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">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">Transpose
+  <td rowspan="2" style="width:200px;"> Function to transpose an 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>
+</table>
+
+*/
+} // namespace
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