aboutsummaryrefslogtreecommitdiff
path: root/include/armnn/Descriptors.hpp
AgeCommit message (Collapse)Author
2024-02-28IVGCVSW-8229 & IVGCVSW-8237 ScatterNd: Front end and reference implementationTianle Cheng
(scatter_nd, scatter_nd_add, and scatter_nd_update, scatter_nd_sub, scatter_nd_min, scatter_nd_max, scatter_nd_mul) * Front end support for ScatterNd added. * Reference implementation for ScatterNd added. * Unit tests added. Signed-off-by: Tianle Cheng <tianle.cheng@arm.com> Change-Id: I30da9056d9b03ca9b5fb8d09987341128badbcf4
2023-08-31IVGCVSW-7525 Add broadcast_to operatorIdriss Chaouch
Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com> Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I94ec5f9120b2d736fdf98d00ec5137a4efd739b8
2023-08-28IVGCVSW-7505 Create FusedLayer and NeonFusedWorkload for AddMulAdd Neon kernelTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ic778d35b001474b44fb1e433a6fe276e4ec9f565
2023-08-08MLCE-1093 Added Axis to ViewsDescriptorMike Kelly
* Added Axis to ViewsDescriptor to store the value where ever possible. * Updated Serializer and Deserializer to handle axis. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I56e442872b47485a608b25fbc79063b362a25618
2023-08-01IVGCVSW-7243 Remove deprecated code due to be removed in 23.05Kevin May
* Remove deprecated GetAxesToMul and GetAxesNotMul functions * Remove Deprecated version of file TensorCopyUtils.hpp Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I1fb652ff8319e73616991f11c1a19daecc40833c
2023-07-25IVGCVSW-7883 Front end and reference implementation for TILETeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Cian McGriskin <cian.mcgriskin@arm.com> Change-Id: I0afb2403fee11c5c1e58ea65e2525e99594d8f2d
2023-07-17IVGCVSW-7879 Change REVERSE_V2 from LayerWithParameters with 1 input, to ↵Tracy Narine
Layer with 2 inputs * Changing ReverseV2 to use two inputs * This is required by the backends * The ReverseV2Descriptor was removed * Tests updated * Added a Run<> templatefor inputs with different data types Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: I22f947de829b4b3da6bda3a74f4ffdef4052cc25
2023-07-04IVGCVSW-7831: Front end and Reference Implementation for REVERSE_V2Tianle Cheng
* Descriptors added for ReverseV2 * Layer definition added * Input validation added * Reference workload implementation for ReverseV2 added * Reference layer unit tests made for ReverseV2 * CompareTensors method updated to support comparison between empty tensors * CMake and other build files updated Signed-off-by: Tianle Cheng <tianle.cheng@arm.com> Change-Id: I805738454421309fda77c44218a8df171d68dc18
2023-03-14IVGCVSW-3808 Add ElementwiseBinaryLayerMike Kelly
!android-nn-driver:9329 * Added ElementwiseBinaryLayer that can represent all ElementwiseBinary operations including Add, Div, Sub, Maximum, Mul and Minimum. * Updated Delegate to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated Deserializer to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add layer. * Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated CL and Neon tests to use ElementwiseBinaryLayer. * Updated CL and Neon Backend Specific Optimizations to accept ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum layers. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
2022-12-12Updates following execution of Includewhatyouuse on armnn/include.Colm Donelan
This tool forces explicit includes of all dependencies and highlights unused dependencies. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I92e449245246452a0227cbd13f9c082e2088bf8c
2022-12-07IVGCVSW-6853 Rewrite BuildArmComputePermutationVector()Teresa Charlin
* Some pemutation vectors were not converted correctly. * Add Transpose end to end test. * Comments added with an example to clarify the differences betweeen Transpose and Permute Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I6c0954ca6ce00ef5f2a6f3625abe6f4fd27b5cdf
2022-09-06IVGCVSW-7006 Remove deprecated code due to be removed in 22.08Teresa Charlin
* AddConv and AddDWConv with weights and bias * ResizeBilinearDescriptor * b,blacklist option in accuracy tool !android-nn-driver:8172 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ibbc04fd18be7f938b11590bf67cd7af103cb4d99
2022-08-30IVGCVSW-7105: BatchMatMul Optional Parameter SupportSamuel Yap
* Added transpose parameters to pre-transpose each input tensor's slices * Added adjoint parameters to pre-adjoint each input tensor's slices * Small refactoring (BatchMatMulDescriptor static helpers and BatchMatMulImpl constructor) * Updated input validation and output shape inference for parameters * Additional layer unit tests for parameters added * Versionings incremented Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667
2022-07-27IVGCVSW-7109: Add Batch MatMul front end support - ReferenceSamuel Yap
* Descriptors added for BatchMatMul * Layer definition added * Input validation added (will likely change when opt. param support comes in) * Ref workload implementation for BatchMatMul added (will also change with opt. param support) * Ref layer tests made for BatchMatMul * CMake and other build files updated Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: Ic885301da543ee0fbe7922b85e7f9658c4efc617
2022-06-27IVGCVSW-6981 Remove deprecated code 22.05 [Post Release]Nikhil Raj
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I9ccaefbe28ea572e9e2b4a2168574804667f7460
2022-05-16IVGCVSW-6124 ConstTensorsAsInput: Conv2d - FrontEndKeith Davis
* Update Front-end and Tools. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Updated Ref. * Fixed resulting Neon / CL tests * Unified optimizers for conv2d ops * Optimizer Fix - Fp32ToBf16 * Partial implementation for ACL backends to fix VTS failures !android-nn-driver:7477 Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I5fb18877f7ee32643e15a9818945356274bb401b
2022-05-05IVGCVSW-6127 ConstTensorsAsInput: DepthwiseConvolution2dCathal Corbett
!android-nn-driver:7418 * Update Front-end and Tools. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Change NNDriver to new API. * Updated Ref. * Neon and Cl backend partially completed (Backend.cpp files). * Added dynamic or constant input EndToEnd tests. * Added ConstantTensorAsInputMemeberVariableRedirect Optimization. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ib18b6c10a093042e165e25237dc04a4c67ba82da
2022-04-22MLCE-604 Add Unidirectional Sequence Lstm support to TFLiteMike Kelly
* Added Unidirectional Sequence Lstm support to TFLite Parser * Added support for float operations with int8 weights to TFLite Parser * Added to Conv2d, Conv3D, DepthwiseConv2D, FullyConnected, TransposeConv and UnidirectionalSequenceLstm * Renamed subgraphIndex to subgraph to fix name-shadowing warning. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I818976ab88abc05dcb4bad246fb4108e6e879283
2022-02-02IVGCVSW-6639 Add GetParameters to IConnectableLayerJim Flynn
Change-Id: Id55a460ecb510f5b30235b03f54390f2c8188fc2 Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2022-01-19IVGCVSW-6629 Stabilize the ILayerSupport interface with unified strategy.Cathal Corbett
* New Virtual Function Added. * Implemented in Ref Neon CL with switch statement for all layers. * Deprecate original IsXXXLayerSupported functions. * Ensure Npu not broken with change. Change-Id: Icf61b16beec83d6af1cb287e24ab1e98a6138c8c Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
2021-11-17IVGCVSW-6509 Front End + Reference Workload implementationTamás Nyíri
Subtask of story: IVGCVSW-6164 Add a Pooling3d FrontEnd and Ref Implementation * Add front end * Add reference workload * Add corresponding unit tests Change-Id: Icce4146dd0a06a1da46a2def00a82d343e171750 Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
2021-10-27IVGCVSW-6469 Add MirrorPad FrontEnd and Ref SupportMatthew Sloyan
* Added PaddingMode enum to PaddingDescriptor to enable Symmetric and Reflect padding. * Added Symmetric and Reflect Ref implementation. * Added Serializer & Deserializer support. * Added unit tests. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I4bed907b31742b32ccefe5e8ca39a6f1e5bd9dee
2021-10-20Add ConstTensorsAsInput support for Conv3dMatthew Sloyan
* Constant weights and biases are now stored as Constant layers. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteParser. * Updated Ref backend to handle constant weights and bias as inputs rather than reading from member variables. * Added Conv3d EndToEnd test. * Added NCDHW DataLayout and unit tests. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e
2021-10-02IVGCVSW-5985 Remove deprecated codeJan Eilers
* Removes deprecated AddLayer, IsLayerSupported functions * Marks the whole LayerVisitor class as deprecated not just the constructor. This required to wrap all Accept functions in a no deprecate macro because the LayerVisitor is used as a parameter in there * Removes usage of deprecated LayerVisitor and replaces it with ExecuteStrategy. This required a few structural changes in the unit tests * Adds a default implementation for IStrategy called StrategyBase * Changes pyarmnn to use non deprecated constructor for INetworkProperties and adds related unit test * Marks usage of deprecated code in pyarmnn as deprecated. This required to extend INetworkProperties to allow backwards compatibility * Removes deprecated functions from CpuAcc, GpuAcc and Ref backends Note: This patch breaks compatibility with backends that are not updated in this patch !android-nn-driver:6325 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Id13b6f37a74d26eadeda2da1dc92915e725ed5a5
2021-10-01IVGCVSW-6163 Add Conv3d FrontEnd and Ref ImplementationMatthew Sloyan
* Added front-end * Added Reference workload * Added Serializer & Deserializer support * Added unit tests * Added NDHWC DataLayout Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Iec4d39e7433b5334d52fa44cf8efc6bcd39319d8
2021-09-24IVGCVSW-3705 Add Channel Shuffle Front end and Ref ImplementationSimon Obute
* Add front end * Add reference workload * Add unit tests * Add Serializer and Deserializer * Update ArmNN Versioning Signed-off-by: Simon Obute <simon.obute@arm.com> Change-Id: I9ac1f953af3974382eac8e8d62d794d2344e8f47
2021-08-17IVGCVSW-6119: Restore FullyConnectedDescriptor::GetNumViews for backward ↵Francis Murtagh
compatibility * Deprecate publicly visible API and forward to new function name Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I25fe8a303b50ecb478abd35ca034ad09bd737fe4
2021-08-10MLCE-530 Add support for UnidirectionalSequenceLstm to RefWorkloadexperimental/daves_custom_allocator_dmabufNarumol Prangnawarat
* Add implementation of IsUnidirectionalSequenceLstmSupported to RefLayerSupport * Add RefUnidirectionalSequenceLstmWorkload * Refactor Lstm to be able to use for Lstm and SequenceLstm * Unit tests Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Ibc066d213213a11b955dfefbe518de643298ba0c
2021-08-06IVGCVSW-6119 ConstTensorsAsInput: FullyConnectedMatthew Sloyan
* Constant weights and biases are now stored as Constant layers. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Updated Schema with IsConstant and ConstantTensorsAsInputs. * Updated Ref backend to handle constant weights and bias as inputs rather than reading from member variables. * Added dynamic or constant input EndToEnd tests. !android-nn-driver:5959 Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
2021-07-22MLCE-530 Add front end support for UnidirectionalSequenceLstm on ArmNNNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I57bcbdec3eb0155f41af0fe7d6abf9bac2ec86eb
2021-04-09MLCE-328 Serializer/Deserializer does not support Signed64Mike Kelly
* Added support for Signed64 to flatbuffer's schema & updated source tree * Added support for Signed64 to TFLite Delegate * Added support for Signed64 to Serializer * Added support for Signed64 to Deserializer * Added unit test for ArgMinMax to Deserializer * Deprecated m_Output_Type from the ArgMinMaxDescriptor: the output type is solely determined by the DataType of the output Tensor * Fixed issue where RefArgMinMaxWorkload could output data using the wrong DataType * Added Signed64 to RefLayerSupport::IsArgMinMaxSupported as a supported type Signed-off-by: Mike Kelly <mike.kelly@arm.com> Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Ib622c052a1f8aa3e658262f8bde5a6881a8cbe10
2021-03-25IVGCVSW-5736 and IVGCVSW-5743 'NonConstWeights: Update front-end and ↵Sadik Armagan
TfLiteDelegate support for FullyConnected Operator' * Added front-end support for non-const weights for FULLY_CONNECTED operator * Added FULLY_CONNECTED end-to-end test * Updated FULLY_CONNECTED operator support in TfLite Arm NN Delegate for non-const weights * Updated the version numbers Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Iffa5b9aa9297aca4c02d923cce4636c88ac21faa
2021-02-12IVGCVSW-4893 Refactor ILayerVisitor using unified interface strategy.Finn Williams
Signed-off-by: Jan Eilers <jan.eilers@arm.com> Signed-off-by: Finn Williams <Finn.Williams@arm.com> Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Id7bc8255a8e3f9e5aac65d510bec8a559bf37246
2021-02-11MLCE-360 'ReduceLayer InferOutputShape Issue'Sadik Armagan
* Updated ParseReduce() function in TfLiteParser to read correct axis data * Remove unused m_TargetWidth and m_TargetHight from ReduceDescriptor * Updated the ArmNN Serializer Schema Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I98b6e00ccba1d8ea8c845cb1ae28840e42339629
2021-02-03backends/reference: Add ReduceSum operation supportSadik Armagan
This patch addes ReduceSum operation support for reference backend, which computes the sum of elements across dimensions of a tensor. Changelog v1: - Fix file header descriptions. Chagelog v2: - Fix line limit issue. - Fix type conversion issue. Changelog v3: - Remove tabs. - Modify newly added file headers. Changelog v4: - Symbol on header isn't allowed so drop it from newly added file headers. Changelog v5: - Remove tabs, fix the use of brackets and align lines correctly. Changelog v6: - Add serializer and deserializer support. Changelog v7: - Fix build error add missed code. Changelog v8: - Rename ReduceSumDecriptor to ReduceDescriptor - Update m_KeepDims field data type to bool on ReduceDescriptor - Add ReduceOperation field to ReduceDescriptor - Rename ReduceSumLayer to ReduceLayer - Update ReduceLayer to use ReduceDescriptor - Update ReduceLayer::ValidateTensorShapesFromInputs() function - Rename RefReduceSumWokload to RefReduceWorkload - Update workload to use ReduceDescriptor - Update workload to use Decoders and Encoders - Remove ReduceSum.hpp and ReduceSum.cpp - Added Reduce.hpp and Reduce.cpp - Move Mean.cpp (which is implementing REDUCE_MEAN) functionality to Reduce.cpp - Update RefMeanWorkload to call Reduce function with ReduceOperation::Mean argument - Remove Mean.hpp and Mean.cpp - Update the Serializer/Deserializer ArmnnSchema.fbs for ReduceLayer, ReduceDescriptor, and ReduceOperation - Update Serializer and Deserializer for serializing/parsing ReduceLayer - Added TfLiter parser Sum test for REDUCE_SUM operator - Make corresponding changes on front-end and Ref backend to support REDUCE_SUM operator Changelog v9: - Fixed build errors. Change-Id: I8c8e034f3df73f9565b3c18eff51ecca6c542195 Signed-off-by: Inki Dae <inki.dae@samsung.com> Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
2020-11-27IVGCVSW-5499 Missing validation for zero strideTeresa Charlin
* Convolution * Depthwise Convolution Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I61b356fbffb176e9a05e08d9b6867d082b6712c8
2020-11-09IVGCVSW-5091 Add Logical ops frontend and ref implJames Conroy
* Add frontend and reference implementation for logical ops NOT, AND, OR. * Unary NOT uses existing ElementwiseUnary layer and ElementwiseUnary descriptor. * Binary AND/OR uses new layer LogicalBinary and new LogicalBinary descriptor. * Add serialization/deserializion support and add missing ElementwiseUnary deserializer code. * Add additional Boolean decoder in BaseIterator.hpp. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: Id343b01174053a166de1b98b6175e04a5065f720
2020-09-24Add int32 and int64 ArgMax op supportInki Dae
This patch adds int32 and int64 ArgMax op support. Current ARMNN already has ArgMax op but not used, and it doesn't support int64 output type. So this patch adds a new type, Signed64, and also adds ArgMinMax computation function for int64 type support. In default, output tensor type of ArgMax op is int64 in case of tensorflow lite model so this patch makes a proper function - ArgMax op for int64 or int32 - to be called according to parsed output_type value. With this patch, ARMNN supports both types - int64 and int32 - for ArgMinMax op. Changelog v1: - Check if output data type of ArgMinMax op is valid or not. - Use template function to support int32 and int64 types of ArgMinMax function. - Keep using Signed32 as default data type of m_Output_Type. Change-Id: I7a8e7e38dd9e5acc81464571d8b4d51378fc7f14 Signed-off-by: Inki Dae <inki.dae@samsung.com>
2020-07-06IVGCVSW-4988 Add handling output shape parameter to TransposeConvolution2dColm Donelan
* Add m_OutputShape and m_OutputShapeEnabled to TransposeConvolution2dDescriptor. * Update TfLite parser to populate m_OutputShape if found in the model. Handle both Signed32 from tflite files and QAsymmU8 from test fixtures. * Update TransposeConvolution2dLayer to use m_OutputShape instead of InferOutputShapes if specified. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: Ia6933065375eb8006c916f1ca67c38dc50bc205c
2020-07-01IVGCVSW-4903 Connect axis parameter in Gather from android to ACL.Teresa Charlin
!android-nn-driver:3302 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ifbc49acb5272f8a36719bb68676e44817190537d
2020-06-11IVGCVSW-4906 Add front-end support for FILL operatorRyan OShea
* Added new fill layer * Added visitor tests Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com> Change-Id: Iea677014866b4f2d514004623f59ee83f3c0eef8 Signed-off-by: Keith Davis <keith.davis@arm.com>
2020-06-03remove BOM from filesLaurent Carlier
Change-Id: Ia4b4bb3be0ed6e933c77d58f8e9879b1370e9537 Signed-off-by: Laurent Carlier <laurent.carlier@arm.com>
2020-05-30IVGCVSW-4888 Update Resize Front end for new parametersDavid Monahan
* Added AlignCorners and HalfPixelCenters to Resize and ResizeBilinear * Updated Serializer and Serializer tests !android-nn-driver:3280 Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Ice3bb448c239b04323854641525bfe0808c03b2e
2020-04-21IVGCVSW-4675 Fixes for VTS 1.3 GeneratedTest.Test/armnn_resize*David Monahan
* Adding HalfPixelCenters parameter to Resize Descriptor !android-nn-driver:3061 Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I2713125525f434f5abe5a87183723e482df27a43
2020-03-20IVGCVSW-4549 Add front end for new QLSTM layerJames Conroy
* Added new layer QLstm (Android R HAL 1.3) * Made necessary updates to APIs * Added unit tests * This layer is functionally equivalent to the original unquantized LSTM layer with some additonal quantization features added. Due to this, original LstmParams are used for this layer. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I5b7f2d2fb6e17e81573b41a31bc55f49ae79608f
2020-03-18IVGCVSW-4444 Adding Elu end to end testJan Eilers
* implemented activation layer end to end test * adds support for different tolerances in layer tests * added tests for Elu (Ref, Cl, Neon) Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: I81e28cfb4456e815bae2fb31f5c345134ff2432f
2020-03-02IVGCVSW-4375 Add support for TransposeMike Kelly
* Added TransposeLayer * Added CL, Neon and Ref Workloads * Added Transpose utilities * Added Serializer and Deserializer support * Added Quantizer support Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I04c755ba7cb5b1edf72b3c9f3c0314878032e3c7
2020-02-07MLCE-139: add capability to align corners for bilinear resizeSang-Hoon Park
* Add parsing of the related parameter to TfLiteParser * Update ResizeDescriptor to store the additional parameter * Update NEON/CL workload to pass the additional parameter. * Update Reference workload to pass and handle the additional parameter. !ComputeLibrary:2538 !ComputeLibrary:2569 !armnn:2612 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Change-Id: Id149e1c24c2abed7e9dd81939acf54dfabfcdfd2
2020-01-23IVGCVSW-4259 Add frontend and reference workload for UnaryOperationLayerjosh minor
* Added new layer named ElementwiseUnary * Deprecated existing Abs/Rsqrt layer functions * Updated existing Abs/Rsqrt test infrastructure to use new layer * Added boilerplate for new Exp,Neg,Sqrt elemwise op layers * AbsQuantize test removed pending future commit * Serialization support added !android-nn-driver:2550 Change-Id: Ic595c645925e17b45db568187fd05646daf2e87f Signed-off-by: josh minor <josh.minor@arm.com>
2019-10-23IVGCVSW-4010 Add serialization support for StandInLayerAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I2017c15b485b82437c6ffdac4d3112bcc2cbe9e9