| /// Copyright (c) 2021, 2023 ARM Limited and Contributors. All rights reserved. |
| /// |
| /// SPDX-License-Identifier: MIT |
| /// |
| |
| namespace armnn |
| { |
| /** |
| @page operator_list Arm NN Operators |
| |
| |
| @section S5_1_operator_list Arm NN Operators |
| |
| Arm NN supports operators that are listed in below table. |
| |
| Arm NN supports a wide list of data-types. |
| The main data-types that the Machine Learning functions support are the following: |
| <ul> |
| <li><b>BFLOAT16:</b> 16-bit non-standard brain floating point |
| <li><b>QASYMMU8:</b> 8-bit unsigned asymmetric quantized |
| <li><b>QASYMMS8:</b> 8-bit signed asymmetric quantized |
| <li><b>QUANTIZEDSYMM8PERAXIS:</b> 8-bit signed symmetric quantized |
| <li><b>QSYMMS8:</b> 8-bit signed symmetric quantized |
| <li><b>QSYMMS16:</b> 16-bit signed symmetric quantized |
| <li><b>FLOAT32:</b> 32-bit single precision floating point |
| <li><b>FLOAT16:</b> 16-bit half precision floating point |
| <li><b>SIGNED32:</b> 32-bit signed integer |
| <li><b>BOOLEAN:</b> 8-bit unsigned char |
| <li><b>All:</b> Agnostic to any specific data type |
| </ul> |
| |
| Arm NN supports the following data layouts (fast changing dimension from right to left): |
| <ul> |
| <li><b>NHWC:</b> Layout where channels are in the fastest changing dimension |
| <li><b>NCHW:</b> Layout where width is in the fastest changing dimension |
| <li><b>All:</b> Agnostic to any specific data layout |
| </ul> |
| where N = batches, C = channels, H = height, W = width |
| |
| <table> |
| <caption id="multi_row"></caption> |
| <tr> |
| <th>Operator |
| <th>Description |
| <th>Equivalent Android NNAPI Operator |
| <th>Backends |
| <th>Data Layouts |
| <th>Data Types |
| <tr> |
| <td rowspan="3">AbsLayer |
| <td rowspan="3"> Layer to perform absolute operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_ABS |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ActivationLayer |
| <td rowspan="3" style="width:200px;"> Layer to simulate an activation layer with the specified activation function. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_ABS |
| <li>ANEURALNETWORKS_ELU |
| <li>ANEURALNETWORKS_HARD_SWISH |
| <li>ANEURALNETWORKS_LOGISTIC |
| <li>ANEURALNETWORKS_PRELU |
| <li>ANEURALNETWORKS_RELU |
| <li>ANEURALNETWORKS_RELU1 |
| <li>ANEURALNETWORKS_RELU6 |
| <li>ANEURALNETWORKS_SQRT |
| <li>ANEURALNETWORKS_TANH |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">AdditionLayer |
| <td rowspan="3" style="width:200px;"> Layer to add 2 tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_ADD |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ArgMinMaxLayer |
| <td rowspan="3" style="width:200px;"> Layer to calculate the index of the minimum or maximum values in a tensor |
| based on an axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_ARGMAX |
| <li>ANEURALNETWORKS_ARGMIN |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>SIGNED64 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">BatchMatMulLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform batch matrix multiplication. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| </table> |
| <tr> |
| <td rowspan="3">BatchNormalizationLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform batch normalization. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>FLOAT16 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>FLOAT16 |
| </table> |
| <tr> |
| <td rowspan="3">BatchToSpaceNdLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform a batch to space transformation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_BATCH_TO_SPACE_ND |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">CastLayer |
| <td rowspan="3" style="width:200px;"> Layer to cast a tensor to a type. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_CAST |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QSYMMS8 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>FLOAT16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ChannelShuffleLayer |
| <td rowspan="3" style="width:200px;"> Layer to reorganize the channels of a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_CHANNEL_SHUFFLE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QSYMMS8 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ComparisonLayer |
| <td rowspan="3" style="width:200px;"> Layer to compare 2 tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_EQUAL |
| <li>ANEURALNETWORKS_GREATER |
| <li>ANEURALNETWORKS_GREATER_EQUAL |
| <li>ANEURALNETWORKS_LESS |
| <li>ANEURALNETWORKS_LESS_EQUAL |
| <li>ANEURALNETWORKS_NOT_EQUAL |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>BOOLEAN |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">ConcatLayer |
| <td rowspan="3" style="width:200px;"> Layer to concatenate tensors along a given axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_CONCATENATION |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ConstantLayer |
| <td rowspan="3" style="width:200px;"> Layer to provide a constant tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">ConvertFp16ToFp32Layer |
| <td rowspan="3" style="width:200px;"> Layer to convert Float16 tensor to Float32 tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ConvertFp32ToFp16Layer |
| <td rowspan="3" style="width:200px;"> Layer to convert Float32 tensor to Float16 tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">Convolution2dLayer |
| <td rowspan="3" style="width:200px;"> Layer to compute a convolution operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_CONV_2D |
| <li>ANEURALNETWORKS_GROUPED_CONV_2D |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| </table> |
| <tr> |
| <td rowspan="3">Convolution3dLayer |
| <td rowspan="3" style="width:200px;"> Layer to compute a 3D convolution operation. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>NDHWC |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>N/A |
| </ul> |
| <td> |
| <ul> |
| <li>N/A |
| </ul> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>N/A |
| </ul> |
| <td> |
| <ul> |
| <li>N/A |
| </ul> |
| <tr> |
| <td rowspan="1">DebugLayer |
| <td rowspan="1" style="width:200px;"> Layer to print out inter layer tensor information. |
| <td rowspan="1"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td rowspan="3">DepthToSpaceLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform Depth to Space transformation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_DEPTH_TO_SPACE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">DepthwiseConvolution2dLayer |
| <td rowspan="3" style="width:200px;"> Layer to compute a deconvolution or transpose convolution. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_DEPTHWISE_CONV_2D |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| </table> |
| <tr> |
| <td rowspan="3">DequantizeLayer |
| <td rowspan="3" style="width:200px;"> Layer to dequantize the values in a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_DEQUANTIZE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td rowspan="2">DetectionPostProcessLayer |
| <td rowspan="2" style="width:200px;"> Layer to generate the detection output based on center size encoded boxes, class prediction and anchors by doing non maximum suppression (NMS). |
| <td rowspan="2"> |
| <ul> |
| <li>ANEURALNETWORKS_DETECTION_POSTPROCESSING |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">DivisionLayer |
| <td rowspan="3" style="width:200px;"> Layer to divide 2 tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_DIV |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ElementwiseBaseLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform Add - Div - Max - Min - Mul operations. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_ADD |
| <li>ANEURALNETWORKS_DIV |
| <li>ANEURALNETWORKS_MAXIMUM |
| <li>ANEURALNETWORKS_MINIMUM |
| <li>ANEURALNETWORKS_MUL |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ElementwiseBinaryLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform Power and Square Difference operations. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_POW |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ElementwiseUnaryLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform Rsqrt - Exp - Neg - Log - Abs - Sin - Sqrt - Ceil operations. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_ABS |
| <li>ANEURALNETWORKS_EXP |
| <li>ANEURALNETWORKS_LOG |
| <li>ANEURALNETWORKS_NEG |
| <li>ANEURALNETWORKS_RSQRT |
| <li>ANEURALNETWORKS_SIN |
| <li>ANEURALNETWORKS_SQRT |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="1">FakeQuantizationLayer |
| <td rowspan="1" style="width:200px;"> Layer to quantize float values and dequantize afterwards. The current implementation does not dequantize the values. |
| <td rowspan="1"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">FillLayer |
| <td rowspan="3" style="width:200px;"> Layer to set the values of a tensor with a given value. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_FILL |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">FloorLayer |
| <td rowspan="3" style="width:200px;"> Layer to round the value to the lowest whole number. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_FLOOR |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>FLOAT16 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>FLOAT16 |
| </table> |
| <tr> |
| <td rowspan="3">FullyConnectedLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform a fully connected / dense operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_FULLY_CONNECTED |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| </table> |
| <tr> |
| <td rowspan="3">GatherLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform the gather operation along the chosen axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_GATHER |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">GatherNdLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform the gatherNd operation. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td rowspan="1">InputLayer |
| <td rowspan="1" style="width:200px;"> Special layer used to provide input data to the computational network. |
| <td rowspan="1"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>All |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">InstanceNormalizationLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform an instance normalization on a given axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_INSTANCE_NORMALIZATION |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">L2NormalizationLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform an L2 normalization on a given axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_L2_NORMALIZATION |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">LogSoftmaxLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform the log softmax activations given logits. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">LogicalBinaryLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform Logical AND - Logical NOT - Logical OR operations. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_LOGICAL_AND |
| <li>ANEURALNETWORKS_LOGICAL_NOT |
| <li>ANEURALNETWORKS_LOGICAL_OR |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BOOLEAN |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BOOLEAN |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BOOLEAN |
| </table> |
| <tr> |
| <td rowspan="3">LstmLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform a single time step in a Long Short-Term Memory (LSTM) operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_LSTM |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">MapLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform map operation on tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">MaximumLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform an elementwise maximum of two tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td rowspan="3">MeanLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform reduce mean operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_MEAN |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">MemCopyLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform memory copy operation. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>BOOLEAN |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">MemImportLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform memory import operation. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">MergeLayer |
| <td rowspan="3" style="width:200px;"> Layer to concatenate tensors along a given axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_CONCATENATION |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">MinimumLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform an elementwise minimum of two tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_MINIMUM |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td rowspan="3">MultiplicationLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform an elementwise multiplication of two tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_MUL |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td rowspan="3">NormalizationLayer |
| <td rowspan="3" style="width:200px;"> Layer to compute normalization operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>FLOAT16 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT32 |
| <tr><td>FLOAT16 |
| </table> |
| <tr> |
| <td rowspan="1">OutputLayer |
| <td rowspan="1" style="width:200px;"> A special layer providing access to a user supplied buffer into which the output of a network can be written. |
| <td rowspan="1"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>All |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">PadLayer |
| <td rowspan="3" style="width:200px;"> Layer to pad a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_PAD |
| <li>ANEURALNETWORKS_PAD_V2 |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">PermuteLayer |
| <td rowspan="3" style="width:200px;"> Layer to transpose an ND tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_TRANSPOSE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">Pooling2dLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform 2D pooling with the specified pooling operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_AVERAGE_POOL_2D |
| <li>ANEURALNETWORKS_L2_POOL_2D |
| <li>ANEURALNETWORKS_MAX_POOL_2D |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">Pooling3dLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform 3D pooling with the specified pooling operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_AVERAGE_POOL_3D |
| <li>ANEURALNETWORKS_L2_POOL_3D |
| <li>ANEURALNETWORKS_MAX_POOL_3D |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>NDHWC |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NA |
| </ul> |
| <td> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NDHWC |
| </ul> |
| <td> |
| <tr> |
| <td rowspan="1">PreCompiledLayer |
| <td rowspan="1" style="width:200px;"> Opaque layer provided by a backend which provides an executable representation of a subgraph from the original network. |
| <td rowspan="1"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>N/A |
| <td>N/A |
| <td>N/A |
| <tr> |
| <td rowspan="3">PreluLayer |
| <td rowspan="3" style="width:200px;"> Layer to compute the activation layer with the PRELU activation function. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_PRELU |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">QLstmLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform quantized LSTM (Long Short-Term Memory) operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_QUANTIZED_LSTM |
| <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>SIGNED32 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>SIGNED32 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td rowspan="3">QuantizeLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform quantization operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_QUANTIZE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMM16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMM16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">QuantizedLstmLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform quantized LSTM (Long Short-Term Memory) operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_QUANTIZED_LSTM |
| <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td rowspan="3">RankLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform a rank operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_RANK |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">ReduceLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform reduce with the following operations - ARG_IDX_MAX: Index of the max value - ARG_IDX_MIN: Index of the min value - MEAN_SUM: Mean of sum - PROD: Product - SUM_SQUARE: Sum of squares - SUM: Sum - MIN: Min - MAX: Max |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_REDUCE_MAX |
| <li>ANEURALNETWORKS_REDUCE_MIN |
| <li>ANEURALNETWORKS_REDUCE_SUM |
| <li>ANEURALNETWORKS_REDUCE_PROD |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td rowspan="3">ReshapeLayer |
| <td rowspan="3" style="width:200px;"> Layer to reshape a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_RESHAPE |
| <li>ANEURALNETWORKS_SQUEEZE |
| <li>ANEURALNETWORKS_EXPAND_DIMS |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>BOOLEAN |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">ResizeLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform resize of a tensor using one of the interpolation methods: - Bilinear - Nearest Neighbor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_RESIZE_BILINEAR |
| <li>ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ReverseV2Layer |
| <td rowspan="3" style="width:200px;"> Layer to perform reverse of a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>NA |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">RsqrtLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform Rsqrt operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_RSQRT |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">ShapeLayer |
| <td rowspan="3" style="width:200px;"> Layer to return the shape of the input tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">SliceLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform tensor slicing. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_SLICE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">SoftmaxLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform softmax, log-softmax operation over the specified axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_LOG_SOFTMAX |
| <li>ANEURALNETWORKS_SOFTMAX |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">SpaceToBatchNdLayer |
| <td rowspan="3" style="width:200px;"> Layer to divide spatial dimensions of the tensor into a grid of blocks and interleaves these blocks with the batch dimension. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_SPACE_TO_BATCH_ND |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">SpaceToDepthLayer |
| <td rowspan="3" style="width:200px;"> Layer to rearrange blocks of spatial data into depth. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_SPACE_TO_DEPTH |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">SplitterLayer |
| <td rowspan="3" style="width:200px;"> Layer to split a tensor along a given axis. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_SPLIT |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">StackLayer |
| <td rowspan="3" style="width:200px;"> Layer to stack tensors along an axis. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="1">StandInLayer |
| <td rowspan="1" style="width:200px;"> A layer to represent "unknown" or "unsupported" operations in the input graph. It has a configurable number of input and output slots and an optional name. |
| <td rowspan="1"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>N/A |
| <td>N/A |
| <td>N/A |
| <tr> |
| <td rowspan="3">StridedSliceLayer |
| <td rowspan="3" style="width:200px;"> Layer to extract a strided slice of a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_STRIDED_SLICE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">SubtractionLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform an elementwise subtract of 2 tensors. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_SUB |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">TileLayer |
| <td rowspan="3" style="width:200px;"> Layer to construct a tensor by repeating in tiles a given tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_TILE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMM8 |
| <tr><td>QSYMMS16 |
| <tr><td>SIGNED32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>None |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>None |
| </table> |
| <tr> |
| <td rowspan="3">TransposeConvolution2dLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform 2D transpose convolution (deconvolution) operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>SIGNED32 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMU8 |
| <tr><td>QASYMMS8 |
| <tr><td>QUANTIZEDSYMM8PERAXIS |
| </table> |
| <tr> |
| <td rowspan="3">TransposeLayer |
| <td rowspan="3" style="width:200px;"> Layer to transpose a tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_TRANSPOSE |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>BFLOAT16 |
| <tr><td>FLOAT16 |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| <tr><td>QASYMMU8 |
| <tr><td>QSYMMS16 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td rowspan="3">UnidirectionalSquenceLstmLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform unidirectional sequence LSTM operation. |
| <td rowspan="3"> |
| <ul> |
| <li>ANEURALNETWORKS_UNIDIRECTIONAL_SEQUENCE_LSTM |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th>Input Types |
| <tr><td>FLOAT32 |
| </table> |
| <table> |
| <tr><th>Weight Types |
| <tr><td>FLOAT32 |
| <tr><td>QASYMMS8 |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th>Input Types |
| <tr><td>FLOAT32 |
| </table> |
| <table> |
| <tr><th>Weight Types |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th>Input Types |
| <tr><td>FLOAT32 |
| </table> |
| <table> |
| <tr><th>Weight Types |
| <tr><td>FLOAT32 |
| </table> |
| <tr> |
| <td rowspan="3">UnmapLayer |
| <td rowspan="3" style="width:200px;"> Layer to perform unmap operation on tensor. |
| <td rowspan="3"> |
| <ul> |
| <li>N/A |
| </ul> |
| <td>CpuRef |
| <td> |
| <ul> |
| <li>All |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>CpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| <tr> |
| <td>GpuAcc |
| <td> |
| <ul> |
| <li>NHWC |
| <li>NCHW |
| </ul> |
| <td> |
| <table> |
| <tr><th> |
| <tr><td>All |
| </table> |
| </table> |
| |
| */ |
| } // namespace |