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path: root/src/backends/reference/workloads/CMakeLists.txt
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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
2023-07-25IVGCVSW-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
2023-07-04IVGCVSW-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
2022-11-16IVGCVSW-7214 Disable BF16-Turbo-Mode and remove conversion layersRyan OShea
- Remove Bf16ToFp32 Conversion Layer - Remove Fp32ToBf16 Conversion Layer - Remove B16 Conversion tests * Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true * Provide comments to enable fast math in order to use bf16 * Update docs to inform users to enable fast math for bf16 Execute Network Changes * Require bf16_turbo_mode to also have fast_math_enabled set to true - Remove setting m_ReduceFp32ToBf16 optimizer option Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
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
2022-05-03IVGCVSW-6856 Add GATHERNd FrontEnd and Ref ImplementationTeresa Charlin
* Add front end * Add reference workload * Add unit tests * Add EndToEnd test Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I4cebd17b18476df86162e2dda3366c10e80bd2f8
2022-03-23IVGCVSW-6706 Move headers to profiling/client/includeJim Flynn
!android-nn-driver:7337 Change-Id: Ide401623829cc99fb9b51e9bbce3482ce706a8dd Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2022-02-16Refactor Forced ImportFinn Williams
* Find and replace all workloads associated with imported IO * Only attempt tensorhandle replacement if supported by all workloads * Add new RefBaseWorkload to enable forced input for ref backend * Store imported tensorhandles in preImportedTensorhandles instead of outputHandles * Create pre-imported tensorhandles at network load-time * Front load import workload validation to load network time * Only call ReplaceTensorHandle when needed Change-Id: I3816a71b7f57ae90388bb16462a75d4ef3544fa7 Signed-off-by: Finn Williams <finn.williams@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
2021-10-02IVGCVSW-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
2021-08-10MLCE-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
2021-06-16MLCE-510 Add CpuRef Shape Operator to ArmNNKeith Davis
* Add front end * Add reference workload * Serialization/Deserialization * Add unit tests * Update ArmNN Versioning Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I6fcb1fa341d6f08dea4003b13544e6e9f53fefd3
2021-06-16IVGCVSW-6088 Add Sin and Log to ElementWiseUnaryTeresa Charlin
* Ref workload * Cl workload * Neon workload * Serializer * Deserializer * Remove boost include from TensorTest.cpp Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I498548169cc77609c55cf3105f1de5a7429772cf
2021-04-12IVGCVSW-5410 Add front-end support for CASTmathad01
IVGCVSW-5415 Add TfLiteParser support for CAST * Added front end support for CAST, including support in the Reference workload, Serialization, Deserializtion, Unit tests, and TfLiteParser. Signed-off-by: mathad01 <matthew.haddon@arm.com> Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
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>
2020-11-09IVGCVSW-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-4624 Add a RANK Reference ImplementationFinn Williams
* Add Rank front end * Add Rank reference implementation * Add Rank serialization support * Add Scalar serialization support Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I06e4a468c2a84e79bae2e6c5348596bbbf853b4b
2020-06-15IVGCVSW-4620 Add Fill Reference ImplementationRyan OShea
* Add Fill Reference Implementation * Refactor FP converter to use static_cast Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com> Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I532e2f982981d047690755fac43a0e9cf8b17dcd
2020-05-15IVGCVSW-4831 Fix Packet header includes in backendsFinn Williams
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: Iedfcf0ef487bd7836b1bc4ba8a0e4337dc4da391
2020-05-02IVGCVSW-4449 Add QLstm ref implementationJames Conroy
* Adds ref implemenation for new HAL 1.3 operator, QLstm. * Adds Layer and CreateWorkload unit tests. * Adds WorkloadData validate for QLstm. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I8a721f07ff06105e6495a1a0561b9503aa8146dc
2020-03-19IVGCVSW-4516 Add ConvertFp32ToBf16Layer and Ref workload supportNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I9099a4f840fb747336f77d20a0868b64e801a310
2020-03-17IVGCVSW-4515 Add ConvertBf16ToFp32Layer and Ref workload supportNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Ida6d7e1d2c9abe0618f8b711bab9d62c011090d6
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
2020-01-23IVGCVSW-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>
2019-11-19IVGCVSW-4068 Add Guid to WorkloadNarumol Prangnawarat
* Add Guid to Workload * Remove circular dependency Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Signed-off-by: janeil01 <jan.eilers@arm.com> Change-Id: I15342fa7481c6bdc050e057dce2d74bba07fe2dd
2019-11-04Add fp16 support for dequantizeJan Eilers
* Changed RefDequantizeWorkload to use Encoder/Decoder * Added related unit tests for Cl, Neon and Ref Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ic2fd4103090dd2127c6859b49305736f7b2dfb05
2019-10-21IVGCVSW-3993 Add frontend and reference workload for ComparisonLayerAron Virginas-Tar
* Added frontend for ComparisonLayer * Added RefComparisonWorkload * Deprecated and removed Equal and Greater layers and workloads * Updated tests to ensure backward compatibility Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Id50c880be1b567c531efff919c0c366d0a71cbe9
2019-10-15IVGCVSW-3975 Add reference workload for LOG_SOFTMAXAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I10bb7133e0e2d6d7199abdf39562b1226bbbd3e7
2019-10-09IVGCVSW-3888 Add INSTANCE_NORMALIZATION Reference implementationKevin May
Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I725022f86e990c482ea323fc90fd136fe493ed68
2019-09-24IVGCVSW-3885 Add reference workload for DepthToSpaceAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Id937dc4425884ad1985dcdfaae8bf3fb64f0c766
2019-09-19IVGCVSW-3723 Adding reference workload support for ArgMinMaxNikhil Raj
Change-Id: I65209ecec4e3abf808163239748d6e830568c2e3 Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
2019-09-18IVGCVSW-3878 Add reference workload for SLICEAron Virginas-Tar
* Added reference workload implementation and layer tests for all supported tensor dimensions (1d, 2d, 3d, 4d) Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I40eb300828933e9183027281105d1a7e597d1569
2019-09-16IVGCVSW-3694 Add ArgMinMax implementation for RefNarumol Prangnawarat
* Add ArgMinMax implementation * Add utility function to get number of elements between axis * Add utility function to get unsigned axis * Unit tests for ArgMinMax function Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I7bc3d610dda9526190187eb87394a8ed7a4b5cdd
2019-09-06IVGCVSW-3740 Add Reference Workload support for ABSSadik Armagan
* Implemented RefAbsWorkload and unit tests Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Ibfcdb2b37fd8d240c181f96856e2c997a4b88914
2019-07-17IVGCVSW-3419 Add reference workload support for the new Stack layerMatthew Jackson
* Added reference workload for the Stack layer * Added factory methods * Added validation support * Added unit tests Signed-off-by: Matthew Jackson <matthew.jackson@arm.com> Change-Id: Ib14b72c15f53a2a2ca152afc357ce2aa405ccc88
2019-07-02IVGCVSW-3236 Extend Ref LSTM with layer normalization supportJan Eilers
* Add descriptor values * Update lstm queue descriptor validate function * Update lstm workload * Update isLstmSupported (Cl and Ref), LayerSupportBase, ILayerSupport * Update lstm layer * Add unit tests Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: I932175d550facfb342325051eaa7bd2084ebdc18 Signed-off-by: Jan Eilers <jan.eilers@arm.com>
2019-07-01IVGCVSW-3365 Add reference workload support for ResizeLayerTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Id551690065dca0686ce597d1f0c14fd73163481e
2019-06-27IVGCVSW-3320 Add reference workload support for TransposeConvolution2dLayerAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Icc64f8148c9d8a0d14d772e6e4e7865e70585cd9
2019-06-20IVGCVSW-3248 Refactor reference BatchToSpace workloadFrancis Murtagh
* Add Decoders and Encoders to workload to make it data type agnostic * Merge float32 and Uint8 into single workload Change-Id: I8adfa1898a63f13889eaaf55a31c26fd1e2d7ee8 Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
2019-06-19IVGCVSW-3231 Add reference workload support for SpaceToDepthKeith Davis
* Added reference workload for SpaceToDepth * Added unit tests for float32 & uint8 * Minor sort refactoring to RefWorkloads.hpp to alphabetical order Change-Id: I2e01f8101650e2aae102a8a32bc0064f067141ab Signed-off-by: Keith Davis <keith.davis@arm.com>
2019-06-19IVGCVSW-3268 Add Reference workload support for the new Prelu Activation layerMatteo Martincigh
* Added reference workload for the PReLU Activation layer * Added factory methods * Added validation support * Added Int16 support * Added unit tests Change-Id: Ic950d908c5e0a335dccd2960a3ffab0f8b599876 Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
2019-06-17IVGCVSW-3221 Refactor Mean ref workload and testsJames Conroy
* Renamed RefMeanFloat32Workload and RefMeanUint8Workload to RefMeanWorkload, updated references to reflect this change. * Refactored RefFloorWorkload to use Decoders/Encoders, to support the use of multiple data types. * Deleted reference Unit8 Mean tests as they were duplicates of the Float32 tests. Refactored these tests to support multiple data types and updated references. * Adjusted the values used in the tests' input tensors so that they are more like floating point numbers e.g. change 1.0f to 1.5f. * Replace size_t with unsigned int in Mean ref workload, for better compatibility with the Encoder/Decoder, removed some unnecessary casts after this. * Added ValidateTensorDataTypesMatch() function to WorkloadData.cpp, added CreateIncorrectDimensionsErrorMsg function to RefLayerSupport.cpp. * Added passing and failing tests for ref IsMeanSupported. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: Id3d44463d1385255c727a497d4026d21a49e7eb2
2019-06-17IVGCVSW-3218 Refactor the Reference Workloads for the ResizeBilinear layerEllen Norris-Thompson
* Refactored ResizeBilinear Reference Workloads to combine Float32 and Uint8 files Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com> Change-Id: I725a830f4c4755a7d3a37ca68e31e44e7eb267cb
2019-06-14IVGCVSW-3229 Refactor L2Normalization workload to support multiple data typesFerran Balaguer
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com> Change-Id: I848056aad4b172d432664633eea000843d85a85d
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