From c9309f22a026dfce92365e2f0802c40e8e1c449e Mon Sep 17 00:00:00 2001 From: Sang-Hoon Park Date: Wed, 5 May 2021 10:34:47 +0100 Subject: Restructure Documentation (Part 2) The followings are done: - Move operator list documnetation - Introduction page is moved to the top - The sections for experimental API and programming model are merged into library architecture page. Resolves: COMPMID-4198 Change-Id: Iad824d6c8ba8d31e0bf76afd3fb67abbe32a1667 Signed-off-by: Sang-Hoon Park Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5570 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio Reviewed-by: Sheri Zhang Comments-Addressed: Arm Jenkins --- docs/09_operators_list.dox | 3123 -------------------------------------------- 1 file changed, 3123 deletions(-) delete mode 100644 docs/09_operators_list.dox (limited to 'docs/09_operators_list.dox') diff --git a/docs/09_operators_list.dox b/docs/09_operators_list.dox deleted file mode 100644 index fc41265738..0000000000 --- a/docs/09_operators_list.dox +++ /dev/null @@ -1,3123 +0,0 @@ -/// -/// Copyright (c) 2021 Arm Limited. -/// -/// SPDX-License-Identifier: MIT -/// -/// Permission is hereby granted, free of charge, to any person obtaining a copy -/// of this software and associated documentation files (the "Software"), to -/// deal in the Software without restriction, including without limitation the -/// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or -/// sell copies of the Software, and to permit persons to whom the Software is -/// furnished to do so, subject to the following conditions: -/// -/// The above copyright notice and this permission notice shall be included in all -/// copies or substantial portions of the Software. -/// -/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -/// SOFTWARE. -/// -namespace arm_compute -{ -/** -@page operators_list Supported Operators - -@tableofcontents - -@section S9_1_operators_list Supported Operators - -Compute Library supports operators that are listed in below table. - -Compute Library supports a wide list of data-types, information can been directly found in the documentation of each kernel/function. -The main data-types that the Machine Learning functions support are the following: -
    -
  • BFLOAT16: 16-bit non-standard brain floating point -
  • QASYMM8: 8-bit unsigned asymmetric quantized -
  • QASYMM8_SIGNED: 8-bit signed asymmetric quantized -
  • QSYMM8_PER_CHANNEL: 8-bit signed symmetric quantized (Used for the weights) -
  • QSYMM8: 8-bit unsigned symmetric quantized -
  • QSYMM16: 16-bit unsigned symmetric quantized -
  • F32: 32-bit single precision floating point -
  • F16: 16-bit half precision floating point -
  • S32: 32-bit signed integer -
  • U8: 8-bit unsigned char -
  • All: include all above data types -
- -Compute Library supports the following data layouts (fast changing dimension from right to left): -
    -
  • NHWC: The native layout of Compute Library that delivers the best performance where channels are in the fastest changing dimension -
  • NCHW: Legacy layout where width is in the fastest changing dimension -
  • All: include all above data layouts -
-where N = batches, C = channels, H = height, W = width - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Function - Description - Equivalent Android NNAPI Op - Backends - Data Layouts - Data Types -
ActivationLayer - Function to simulate an activation layer with the specified activation function. - -
    -
  • ANEURALNETWORKS_ELU -
  • ANEURALNETWORKS_HARD_SWISH -
  • ANEURALNETWORKS_LOGISTIC -
  • ANEURALNETWORKS_RELU -
  • ANEURALNETWORKS_RELU1 -
  • ANEURALNETWORKS_RELU6 -
  • ANEURALNETWORKS_TANH -
- 		NEActivationLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16 -
F16F16 -
F32F32 -
-
CLActivationLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16 -
F16F16 -
F32F32 -
-
ArgMinMaxLayer - Function to calculate the index of the minimum or maximum values in a tensor based on an axis. - -
    -
  • ANEURALNETWORKS_ARGMAX -
  • ANEURALNETWORKS_ARGMIN -
- 		NEArgMinMaxLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8U32, S32 -
QASYMM8_SIGNEDU32, S32 -
S32U32, S32 -
F16U32, S32 -
F32U32, S32 -
-
CLArgMinMaxLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8U32, S32 -
QASYMM8_SIGNEDU32, S32 -
S32U32, S32 -
F16U32, S32 -
F32U32, S32 -
-
ArithmeticAddition - Function to add 2 tensors. - -
    -
  • ANEURALNETWORKS_ADD -
- 		NEArithmeticAddition - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
QSYMM16QSYMM16S32 -
U8U8U8 -
U8U8S16 -
U8S16S16 -
S16U8S16 -
S16S16S16 -
S32S32S32 -
F16F16F16 -
F32F32F32 -
-
ArithmeticSubtraction - Function to substract 2 tensors. - -
    -
  • ANEURALNETWORKS_SUB -
- 		NEArithmeticSubtraction - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
QSYMM16QSYMM16S32 -
U8U8U8 -
U8U8S16 -
U8S16S16 -
S16U8S16 -
S16S16S16 -
S32S32S32 -
F16F16F16 -
F32F32F32 -
-
BatchNormalizationLayer - Function to perform batch normalization. - -
    -
  • n/a -
- 		NEBatchNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
CLBatchNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
BatchToSpaceLayer - Batch to space transformation. - -
    -
  • ANEURALNETWORKS_BATCH_TO_SPACE_ND -
- 		NEBatchToSpaceLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1dst -
Alls32All -
-
CLBatchToSpaceLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1dst -
Alls32All -
-
BitwiseAnd - Function to performe bitwise AND between 2 tensors. - -
    -
  • ANEURALNETWORKS_LOGICAL_AND -
- 		NEBitwiseAnd - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
CLBitwiseAnd - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
BitwiseNot - Function to performe bitwise NOT. - -
    -
  • ANEURALNETWORKS_LOGICAL_NOT -
- 		NEBitwiseNot - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
CLBitwiseNot - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
BitwiseOr - Function to performe bitwise OR between 2 tensors. - -
    -
  • ANEURALNETWORKS_LOGICAL_OR -
- 		NEBitwiseOr - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
CLBitwiseOr - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
BitwiseXor - Function to performe bitwise XOR between 2 tensors. - -
    -
  • n/a -
- 		NEBitwiseXor - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
CLBitwiseXor - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
BoundingBoxTransform - Transform proposal bounding boxes to target bounding box using bounding box deltas. - -
    -
  • n/a -
- 		NEBoundingBoxTransform - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1dst -
QASYMM16QASYMM8QASYMM16 -
F16F16F16 -
F32F32F32 -
-
CLBoundingBoxTransform - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1dst -
QASYMM16QASYMM8QASYMM16 -
F16F16F16 -
F32F32F32 -
-
Cast - Function to cast a tensor. - -
    -
  • ANEURALNETWORKS_CAST -
- 		NECast - -
    -
  • All -
- 		- -
srcdst -
QASYMM8_SIGNEDS16, S32, F32, F16 -
QASYMM8U16, S16, S32, F32, F16 -
U8U16, S16, S32, F32, F16 -
U16U8, U32 -
S16QASYMM8_SIGNED, U8, S32 -
F16QASYMM8_SIGNED, QASYMM8, F32, S32, U8 -
S32QASYMM8_SIGNED, QASYMM8, F16, F32, U8 -
F32QASYMM8_SIGNED, QASYMM8, BFLOAT16, F16, S32, U8 -
-
CLCast - -
    -
  • All -
- 		- -
srcdst -
U8S8, U16, S16, U32, S32, F16, F32 -
U16U8, S8, S16, U32, S32, F16, F32 -
S16U8, S8, U16, U32, S32, F16, F32 -
U32U8, S8, U16, S16, S32, F16, F32 -
S32U8, S8, U16, S16, U32, F16, F32 -
F16U8, S8, U16, S16, U32, F32 -
F32U8, S8, U16, S16, U32, F16 -
-
ChannelShuffleLayer - Function to shuffle the channels of the input tensor. - -
    -
  • ANEURALNETWORKS_CHANNEL_SHUFFLE -
- 		NEChannelShuffleLayer - -
    -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLChannelShuffleLayer - -
    -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
Comparison - Function to compare 2 tensors. - -
    -
  • ANEURALNETWORKS_EQUAL -
  • ANEURALNETWORKS_GREATER -
  • ANEURALNETWORKS_GREATER_EQUAL -
  • ANEURALNETWORKS_LESS -
  • ANEURALNETWORKS_LESS_EQUAL -
  • ANEURALNETWORKS_NOT_EQUAL -
- 		CLComparison - -
    -
  • All -
- 		- -
src0src1dst -
AllAllU8 -
-
ConcatenateLayer - Function to concatenate tensors along a given axis. - -
    -
  • ANEURALNETWORKS_CONCATENATION -
- 		NEConcatenateLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
CLConcatenateLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
ConvertFullyConnectedWeights - Function to tranpose the wieghts for the fully connected layer. - -
    -
  • n/a -
- 		NEConvertFullyConnectedWeights - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLConvertFullyConnectedWeights - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
ConvolutionLayer - Function to compute a convolution layer. - -
    -
  • ANEURALNETWORKS_CONV_2D -
- 		NEConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
CLConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
Copy - Function to copy a tensor. - -
    -
  • n/a -
- 		NECopy - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLCopy - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
Crop - Performs a copy of input tensor to the output tensor. - -
    -
  • n/a -
- 		CLCrop - -
    -
  • NHWC -
- 		- -
srcdst -
AllF32 -
-
CropResize - Function to perform cropping and resizing. - -
    -
  • n/a -
- 		NECropResize - -
    -
  • NHWC -
- 		- -
src0src1src2dst -
AllF32F32F32 -
-
CLCropResize - -
    -
  • NHWC -
- 		- -
src0src1src2dst -
AllF32F32F32 -
-
DeconvolutionLayer - Function to compute a deconvolution or tranpose convolution. - -
    -
  • ANEURALNETWORKS_TRANSPOSE_CONV_2D -
- 		NEDeconvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
CLDeconvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
DeconvolutionLayerUpsample - Function to execute deconvolution upsample on OpenCL. - -
    -
  • ANEURALNETWORKS_TRANSPOSE_CONV_2D -
- 		CLDeconvolutionLayerUpsample - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
DepthConvertLayer - Performs a down-scaling depth conversion. - -
    -
  • n/a -
- 		NEDepthConvertLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8F16, F32 -
U8U16, S16, S32 -
U16U8, U32 -
S16U8, S32 -
BFLOAT16F32 -
F16QASYMM8, F32 -
F32QASYMM8, F16, BFLOAT16 -
-
CLDepthConvertLayer - -
    -
  • All -
- 		- -
srcdst -
U8S8, U16, S16, U32, S32, F16, F32 -
U16U8, S8, S16, U32, S32, F16, F32 -
S16U8, S8, U16, U32, S32, F16, F32 -
U32U8, S8, U16, S16, S32, F16, F32 -
S32U8, S8, U16, S16, U32, F16, F32 -
F16U8, S8, U16, S16, U32, F32 -
F32U8, S8, U16, S16, U32, F16 -
-
DepthToSpaceLayer - Depth to Space transformation. - -
    -
  • ANEURALNETWORKS_DEPTH_TO_SPACE -
- 		NEDepthToSpaceLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLDepthToSpaceLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
DepthwiseConvolutionLayer - Function to perform depthwise separable convolution. - -
    -
  • ANEURALNETWORKS_DEPTHWISE_CONV_2D -
- 		NEDepthwiseConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
CLDepthwiseConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
DequantizationLayer - Function to dequantize the values in a tensor. - -
    -
  • ANEURALNETWORKS_DEQUANTIZE -
- 		NEDequantizationLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8F16, F32 -
QASYMM8_SIGNEDF16, F32 -
QSYMM8_PER_CHANNELF16, F32 -
QSYMM8F16, F32 -
QSYMM16F16, F32 -
-
CLDequantizationLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8F16, F32 -
QASYMM8_SIGNEDF16, F32 -
QSYMM8_PER_CHANNELF16, F32 -
QSYMM8F16, F32 -
QSYMM16F16, F32 -
-
DetectionPostProcessLayer - Function to generate the detection output based on center size encoded boxes, class prediction and anchors by doing non maximum suppression (NMS). - -
    -
  • ANEURALNETWORKS_DETECTION_POSTPROCESSING -
- 		NEDetectionPostProcessLayer - -
    -
  • All -
- 		- -
src0 - src2dst0 - dst3 -
QASYMM8F32 -
QASYMM8_SIGNEDF32 -
F32F32 -
-
DirectConvolutionLayer - Function to compute direct convolution. - -
    -
  • ANEURALNETWORKS_CONV_2D -
- 		NEDirectConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
-
CLDirectConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
-
DirectDeconvolutionLayer - Function to run the deconvolution layer. - -
    -
  • ANEURALNETWORKS_TRANSPOSE_CONV_2D -
- 		CLDirectDeconvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
ElementWiseOperations - 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 - -
    -
  • ANEURALNETWORKS_MAXIMUM -
  • ANEURALNETWORKS_MINIMUM -
  • ANEURALNETWORKS_POW -
  • ANEURALNETWORKS_DIV -
  • ANEURALNETWORKS_ADD -
  • ANEURALNETWORKS_SUB -
  • ANEURALNETWORKS_EQUAL -
  • ANEURALNETWORKS_GREATER -
  • ANEURALNETWORKS_GREATER_EQUAL -
  • ANEURALNETWORKS_LESS -
  • ANEURALNETWORKS_LESS_EQUAL -
  • ANEURALNETWORKS_NOT_EQUAL -
- 		NEElementwiseMax - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
S32S32S32 -
S16S16S16 -
F16F16F16 -
F32F32F32 -
-
NEElementwiseMin - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
S32S32S32 -
S16S16S16 -
F16F16F16 -
F32F32F32 -
-
NEElementwiseSquaredDiff - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
S32S32S32 -
S16S16S16 -
F16F16F16 -
F32F32F32 -
-
NEElementwiseDivision - -
    -
  • All -
- 		- -
src0src1dst -
F16F16F16 -
F32F32F32 -
-
NEElementwisePower - -
    -
  • All -
- 		- -
src0src1dst -
F16F16F16 -
F32F32F32 -
-
NEElementwiseComparison - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8U8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDU8 -
S32S32U8 -
U8U8U8 -
S16S16U8 -
F16F16U8 -
F32F32U8 -
-
CLArithmeticAddition - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
U8U8U8 -
U8U8S16 -
U8S16S16 -
S16U8S16 -
S16S16S16 -
S32S32S32 -
F16F16F16 -
F32F32F32 -
-
CLArithmeticSubtraction - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
U8U8U8 -
U8U8S16 -
U8S16S16 -
S16U8S16 -
S16S16S16 -
S32S32S32 -
F16F16F16 -
F32F32F32 -
-
CLArithmeticDivision - -
    -
  • All -
- 		- -
src0src1dst -
F16F16F16 -
F32F32F32 -
-
CLElementwiseMax - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
U8U8U8 -
S16S16S16 -
S32S32S32 -
U32U32U32 -
F16F16F16 -
F32F32F32 -
-
CLElementwiseMin - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
U8U8U8 -
S16S16S16 -
S32S32S32 -
U32U32U32 -
F16F16F16 -
F32F32F32 -
-
CLElementwiseSquaredDiff - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
U8U8U8 -
S16S16S16 -
F16F16F16 -
F32F32F32 -
-
CLElementwisePower - -
    -
  • All -
- 		- -
src0src1dst -
F16F16F16 -
F32F32F32 -
-
ElementwiseUnaryLayer - Function to perform: - Rsqrt - Exp - Neg - Log - Abs - Round - Sin - -
    -
  • ANEURALNETWORKS_ABS -
  • ANEURALNETWORKS_EXP -
  • ANEURALNETWORKS_LOG -
  • ANEURALNETWORKS_NEG -
  • ANEURALNETWORKS_RSQRT -
  • ANEURALNETWORKS_SIN -
- 		NEElementwiseUnaryLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
S32S32 -
-
CLRsqrtLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLExpLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLNegLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLSinLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLLogLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLAbsLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLRoundLayer - -
    -
  • All -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
FFT1D - Fast Fourier Transform 1D. - -
    -
  • n/a -
- 		NEFFT1D - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
-
CLFFT1D - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
FFT2D - Fast Fourier Transform 2D. - -
    -
  • n/a -
- 		NEFFT2D - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
-
CLFFT2D - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
FFTConvolutionLayer - Fast Fourier Transform Convolution. - -
    -
  • ANEURALNETWORKS_CONV_2D -
- 		NEFFTConvolutionLayer - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
-
CLFFTConvolutionLayer - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
Fill - Set the values of a tensor with a given value. - -
    -
  • ANEURALNETWORKS_FILL -
- 		NEFill - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLFill - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
FillBorder - Function to . - -
    -
  • n/a -
- 		NEFillBorder - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLFillBorder - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
FlattenLayer - Reshape a tensor to be 1D - -
    -
  • ANEURALNETWORKS_RESHAPE -
- 		NEFlattenLayer - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLFlattenLayer - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
Floor - Round the value to the lowest number. - -
    -
  • ANEURALNETWORKS_FLOOR -
- 		NEFloor - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
CLFloor - -
    -
  • All -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
FullyConnectedLayer - Function to perform a fully connected / dense layer. - -
    -
  • ANEURALNETWORKS_FULLY_CONNECTED -
- 		NEFullyConnectedLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
-
CLFullyConnectedLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
-
FuseBatchNormalization - Function to fuse the batch normalization node to a preceding convolution node. - -
    -
  • n/a -
- 		NEFuseBatchNormalization - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
CLFuseBatchNormalization - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
Gather - Performs the Gather operation along the chosen axis. - -
    -
  • ANEURALNETWORKS_GATHER -
- 		NEGather - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLGather - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
GEMM - General Matrix Multiplication. - -
    -
  • n/a -
- 		NEGEMM - -
    -
  • All -
- 		- -
src0src1src2dst -
F32F32F32F32 -
F16F16F16F16 -
BFLOAT16BFLOAT16BFLOAT16BFLOAT16 -
-
CLGEMM - -
    -
  • All -
- 		- -
src0src1src2dst -
F32F32F32F32 -
F16F16F16F16 -
-
GEMMConv2D - General Matrix Multiplication. - -
    -
  • ANEURALNETWORKS_CONV_2D -
- 		NEGEMMConv2d - -
    -
  • All -
- 		- -
src0src1src2dst -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
F16F16F16F16 -
F32F32F32F32 -
BFLOAT16BFLOAT16BFLOAT16BFLOAT16 -
-
GEMMConvolutionLayer - General Matrix Multiplication. - -
    -
  • ANEURALNETWORKS_CONV_2D -
- 		NEGEMMConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
BFLOAT16BFLOAT16BFLOAT16BFLOAT16 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
CLGEMMConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
-
GEMMDeconvolutionLayer - General Matrix Multiplication. - -
    -
  • ANEURALNETWORKS_TRANSPOSE_CONV_2D -
- 		CLGEMMDeconvolutionLayer - -
    -
  • NHWC -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
-
GEMMLowpMatrixMultiplyCore - General Matrix Multiplication. - -
    -
  • n/a -
- 		NEGEMMLowpMatrixMultiplyCore - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8QSYMM8S32QASYMM8 -
QASYMM8QASYMM8S32S32 -
QASYMM8QSYMM8_PER_CHANNELS32S32 -
QASYMM8QSYMM8S32S32 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8S32QASYMM8_SIGNED -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32S32 -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32S32 -
QASYMM8_SIGNEDQSYMM8S32S32 -
-
CLGEMMLowpMatrixMultiplyCore - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
QASYMM8QASYMM8S32QASYMM8 -
QASYMM8QSYMM8_PER_CHANNELS32QASYMM8 -
QASYMM8QSYMM8S32QASYMM8 -
QASYMM8QASYMM8S32S32 -
QASYMM8QSYMM8_PER_CHANNELS32S32 -
QASYMM8QSYMM8S32S32 -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32QASYMM8_SIGNED -
QASYMM8_SIGNEDQSYMM8S32QASYMM8_SIGNED -
QASYMM8_SIGNEDQASYMM8_SIGNEDS32S32 -
QASYMM8_SIGNEDQSYMM8_PER_CHANNELS32S32 -
QASYMM8_SIGNEDQSYMM8S32S32 -
-
GEMMLowpOutputStage - General Matrix Multiplication. - -
    -
  • n/a -
- 		NEGEMMLowpOutputStage - -
    -
  • All -
- 		- -
src0src1dst -
S32S32QASYMM8 -
S32S32QASYMM8_SIGNED -
S32S32QSYMM16 -
-
CLGEMMLowpOutputStage - -
    -
  • All -
- 		- -
src0src1dst -
S32S32QASYMM8 -
S32S32QASYMM8_SIGNED -
S32S32QSYMM16 -
-
GenerateProposalsLayer - Function to generate proposals for a RPN (Region Proposal Network). - -
    -
  • ANEURALNETWORKS_GENERATE_PROPOSALS -
- 		NEGenerateProposalsLayer - -
    -
  • All -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QSYMM8QSYMM16QASYMM8 -
-
CLGenerateProposalsLayer - -
    -
  • All -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
QASYMM8QSYMM8QSYMM16QASYMM8 -
-
InstanceNormalizationLayer - Function to perform a Instance normalization on a given axis. - -
    -
  • ANEURALNETWORKS_INSTANCE_NORMALIZATION -
- 		NEInstanceNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLInstanceNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
L2NormalizeLayer - Function to perform a L2 normalization on a given axis. - -
    -
  • ANEURALNETWORKS_L2_NORMALIZATION -
- 		NEL2NormalizeLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
CLL2NormalizeLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
Logical - Function to perform: - Logical AND - Logical OR - Logical NOT - -
    -
  • n/a -
- 		NELogicalAnd - -
    -
  • All -
- 		- -
src0src1dst -
U8U8U8 -
-
NELogicalOr - -
    -
  • All -
- 		- -
src0src1dst -
U8U8U8 -
-
NELogicalNot - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
LogicalAnd - Function to perform Logical AND. - -
    -
  • n/a -
- 		CLLogicalAnd - -
    -
  • All -
- 		- -
src0src1dst -
U8U8U8 -
-
LogicalOr - Function to perform Logical OR. - -
    -
  • n/a -
- 		CLLogicalOr - -
    -
  • All -
- 		- -
src0src1dst -
U8U8U8 -
-
LogicalNot - Function to perform Logical NOT. - -
    -
  • n/a -
- 		CLLogicalNot - -
    -
  • All -
- 		- -
srcdst -
U8U8 -
-
LSTMLayer - Function to perform a single time step in a Long Short-Term Memory (LSTM) layer. - -
    -
  • ANEURALNETWORKS_LSTM -
- 		NELSTMLayer - -
    -
  • All -
- 		- -
src0 - src13dst0 - dst3 -
F16F16 -
F32F32 -
-
CLLSTMLayer - -
    -
  • All -
- 		- -
src0 - src13dst0 - dst3 -
F16F16 -
F32F32 -
-
LSTMLayerQuantized - Function to perform quantized LSTM (Long Short-Term Memory) - -
    -
  • ANEURALNETWORKS_QUANTIZED_LSTM -
  • ANEURALNETWORKS_QUANTIZED_16BIT_LSTM -
- 		NELSTMLayerQuantized - -
    -
  • All -
- 		- -
src0 - src8src9 - src12src13src14dst0dst1 -
QASYMM8S32QSYMM16QASYMM8QSYMM16QASYMM8 -
-
CLLSTMLayerQuantized - -
    -
  • All -
- 		- -
src0 - src8src9 - src12src13src14dst0dst1 -
QASYMM8S32QSYMM16QASYMM8QSYMM16QASYMM8 -
-
MaxUnpoolingLayer - Function to perform MaxUnpooling. - -
    -
  • n/a -
- 		NEMaxUnpoolingLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
CLMaxUnpoolingLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
MeanStdDevNormalizationLayer - Function to execute mean and standard deviation normalization. - -
    -
  • n/a -
- 		NEMeanStdDevNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
CLMeanStdDevNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
NormalizationLayer - Function to compute normalization layer. - -
    -
  • ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION -
- 		NENormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
CLNormalizationLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F32F32 -
F16F16 -
-
PadLayer - Function to pad a tensor. - -
    -
  • ANEURALNETWORKS_PAD -
  • ANEURALNETWORKS_PAD_V2 -
- 		NEPadLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLPadLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
Permute - Function to transpose an ND tensor. - -
    -
  • ANEURALNETWORKS_TRANSPOSE -
- 		NEPermute - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLPermute - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
PixelWiseMultiplication - Function to performe a multiplication. - -
    -
  • ANEURALNETWORKS_MUL -
- 		NEPixelWiseMultiplication - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
QSYMM16QSYMM16S32 -
U8U8U8 -
U8U8S16 -
U8S16S16 -
S16U8S16 -
S16S16S16 -
F16F16F16 -
F32S32F32 -
-
CLPixelWiseMultiplication - -
    -
  • All -
- 		- -
src0src1dst -
QASYMM8QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNEDQASYMM8_SIGNED -
QSYMM16QSYMM16QASYMM16 -
QSYMM16QSYMM16S32 -
U8U8U8 -
U8U8S16 -
U8S16S16 -
S16U8S16 -
S16S16S16 -
F16F16F16 -
F32S32F32 -
-
PoolingLayer - Function to performe pooling with the specified pooling operation. - -
    -
  • ANEURALNETWORKS_AVERAGE_POOL_2D -
  • ANEURALNETWORKS_L2_POOL_2D -
  • ANEURALNETWORKS_MAX_POOL_2D -
- 		NEPoolingLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
CLPoolingLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
PReluLayer - Function to compute the activation layer with the PRELU activation function. - -
    -
  • ANEURALNETWORKS_PRELU -
- 		NEPReluLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
CLPReluLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
PriorBoxLayer - Function to compute prior boxes and clip. - -
    -
  • n/a -
- 		NEPriorBoxLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1dst -
F32F32F32 -
-
CLPriorBoxLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1dst -
F32F32F32 -
-
QLSTMLayer - Function to perform quantized LSTM (Long Short-Term Memory). - -
    -
  • ANEURALNETWORKS_QUANTIZED_LSTM -
  • ANEURALNETWORKS_QUANTIZED_16BIT_LSTM -
- 		NEQLSTMLayer - -
    -
  • All -
- 		- -
src0src1 - src6src7 -src9src10src11dst0dst1 - dst2 -
QASYMM8_SIGNEDQASYMM8S32QSYMM16QASYMM8_SIGNEDQSYMM16QASYMM8_SIGNED -
-
CLQLSTMLayer - -
    -
  • All -
- 		- -
src0src1 - src6src7 -src9src10src11dst0dst1 - dst2 -
QASYMM8_SIGNEDQASYMM8S32QSYMM16QASYMM8_SIGNEDQSYMM16QASYMM8_SIGNED -
-
QuantizationLayer - Function to perform quantization layer - -
    -
  • ANEURALNETWORKS_QUANTIZE -
- 		NEQuantizationLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8, QASYMM8_SIGNED, QASYMM16 -
QASYMM8_SIGNEDQASYMM8, QASYMM8_SIGNED, QASYMM16 -
F16QASYMM8, QASYMM8_SIGNED, QASYMM16 -
F32QASYMM8, QASYMM8_SIGNED, QASYMM16 -
-
CLQuantizationLayer - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8, QASYMM8_SIGNED, QASYMM16 -
QASYMM8_SIGNEDQASYMM8, QASYMM8_SIGNED, QASYMM16 -
F16QASYMM8, QASYMM8_SIGNED, QASYMM16 -
F32QASYMM8, QASYMM8_SIGNED, QASYMM16 -
-
Range - Function to generates a sequence of numbers starting from START and extends by increments of 'STEP' up to but not including 'END'. - -
    -
  • n/a -
- 		NERange - -
    -
  • All -
- 		- -
dst -
U8 -
S8 -
U16 -
S16 -
U32 -
S32 -
F16 -
F32 -
-
CLRange - -
    -
  • All -
- 		- -
dst -
U8 -
S8 -
QASYMM8 -
U16 -
S16 -
U32 -
S32 -
F16 -
F32 -
-
ReduceMean - Function to performe reduce mean operation. - -
    -
  • ANEURALNETWORKS_MEAN -
- 		NEReduceMean - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
CLReduceMean - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
ReductionOperation - 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 - -
    -
  • ANEURALNETWORKS_REDUCE_ALL -
  • ANEURALNETWORKS_REDUCE_ANY -
  • ANEURALNETWORKS_REDUCE_MAX -
  • ANEURALNETWORKS_REDUCE_MIN -
  • ANEURALNETWORKS_REDUCE_PROD -
  • ANEURALNETWORKS_REDUCE_SUM -
- 		NEReductionOperation - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
S32S32 -
-
CLReductionOperation - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
S32S32 -
-
ReorgLayer - Performs a reorganization layer of input tensor to the output tensor. - -
    -
  • n/a -
- 		NEReorgLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLReorgLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
ReshapeLayer - Function to reshape a tensor. - -
    -
  • ANEURALNETWORKS_RESHAPE -
  • ANEURALNETWORKS_SQUEEZE -
- 		NEReshapeLayer - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLReshapeLayer - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
Reverse - Function to reverse tensor according to axis. - -
    -
  • n/a -
- 		NEReverse - -
    -
  • All -
- 		- -
src0src1dst -
AllU32All -
-
CLReverse - -
    -
  • All -
- 		- -
src0src1dst -
AllU32All -
-
RNNLayer - Function to perform recurrent neural network layer. - -
    -
  • ANEURALNETWORKS_RNN -
- 		NERNNLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2src3dst0dst1 -
F16F16F16F16F16F16 -
F32F32F32F32F32F32 -
-
CLRNNLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2src3dst0dst1 -
F16F16F16F16F16F16 -
F32F32F32F32F32F32 -
-
ROIAlignLayer - Function to perform ROI alignment. - -
    -
  • ANEURALNETWORKS_ROI_ALIGN -
- 		NEROIAlignLayer - -
    -
  • All -
- 		- -
src0src1dst -
F16F16F16 -
F32F32F32 -
QASYMM8QASYMM16QASYMM8 -
QASYMM8_SIGNEDQASYMM16QASYMM8_SIGNED -
-
CLROIAlignLayer - -
    -
  • All -
- 		- -
src0src1dst -
F16F16F16 -
F32F32F32 -
QASYMM8QASYMM16QASYMM8 -
QASYMM8_SIGNEDQASYMM16QASYMM8_SIGNED -
-
ROIPoolingLayer - Function to perform ROI pooling. - -
    -
  • ANEURALNETWORKS_ROI_POOLING -
- 		NEROIPoolingLayer - -
    -
  • All -
- 		- -
src0src1dst -
F32U16F32 -
QASYMM8U16QASYMM8 -
-
CLROIPoolingLayer - -
    -
  • All -
- 		- -
src0src1dst -
F16U16F16 -
F32U16F32 -
QASYMM8U16QASYMM8 -
-
Scale - Function to perform resize a tensor using to interpolate: - Bilinear - Nearest neighbor - -
    -
  • ANEURALNETWORKS_RESIZE_BILINEAR -
  • ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR -
- 		NEScale - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
U8U8 -
S16S16 -
-
CLScale - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
U8U8 -
S16S16 -
-
Select - Function to select values from 2 tensors depending on an input tensor of booleans. - -
    -
  • ANEURALNETWORKS_SELECT -
- 		NESelect - -
    -
  • All -
- 		- -
src0src1src2dst -
U8AllAllAll -
-
CLSelect - -
    -
  • All -
- 		- -
src0src1src2dst -
U8AllAllAll -
-
Slice - Function to perform tensor slicing. - -
    -
  • ANEURALNETWORKS_SLICE -
- 		NESlice - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLSlice - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
SoftmaxLayer - Function to compute a SoftmaxLayer and a Log SoftmaxLayer. - -
    -
  • ANEURALNETWORKS_LOG_SOFTMAX -
  • ANEURALNETWORKS_SOFTMAX -
- 		NESoftmaxLayerGeneric - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
CLSoftmaxLayerGeneric - -
    -
  • All -
- 		- -
srcdst -
QASYMM8QASYMM8 -
QASYMM8_SIGNEDQASYMM8_SIGNED -
F16F16 -
F32F32 -
-
SpaceToBatchLayer - Function to divide a tensor spatially. - -
    -
  • ANEURALNETWORKS_SPACE_TO_BATCH_ND -
- 		NESpaceToBatchLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
AllS32S32All -
-
CLSpaceToBatchLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
AllS32S32All -
-
SpaceToDepthLayer - Function to rearrange blocks of spatial data into depth. - -
    -
  • ANEURALNETWORKS_SPACE_TO_DEPTH -
- 		NESpaceToDepthLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
CLSpaceToDepthLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
AllAll -
-
Split - Function to split a tensor along a given axis. - -
    -
  • ANEURALNETWORKS_SPLIT -
- 		NESplit - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLSplit - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
StackLayer - Function to stack tensors along an axis. - -
    -
  • n/a -
- 		NEStackLayer - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLStackLayer - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
StridedSlice - Function to extract a strided slice of a tensor. - -
    -
  • ANEURALNETWORKS_STRIDED_SLICE -
- 		NEStridedSlice - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLStridedSlice - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
Tile - Function to construct a tensor by tiling a given tensor. - -
    -
  • ANEURALNETWORKS_TILE -
- 		NETile - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLTile - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
Transpose - Function to transpose a 2D tensor. - -
    -
  • ANEURALNETWORKS_TRANSPOSE -
- 		NETranspose - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLTranspose - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
Unstack - Function to unpack a rank-R tensor into rank-(R-1) tensors. - -
    -
  • n/a -
- 		NEUnstack - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
CLUnstack - -
    -
  • All -
- 		- -
srcdst -
AllAll -
-
WinogradConvolutionLayer - Function to do Winograd Convolution. - -
    -
  • ANEURALNETWORKS_CONV_2D -
- 		NEWinogradConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
-
CLWinogradConvolutionLayer - -
    -
  • NHWC -
  • NCHW -
- 		- -
src0src1src2dst -
F16F16F16F16 -
F32F32F32F32 -
-
WinogradInputTransform - Function to. - -
    -
  • n/a -
- 		CLWinogradInputTransform - -
    -
  • NHWC -
  • NCHW -
- 		- -
srcdst -
F16F16 -
F32F32 -
-
- -*/ -} // namespace \ No newline at end of file -- cgit v1.2.1