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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">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
generated by cgit v1.2.1 (git 2.23.0) at 2024-04-27 13:21:33 +0000