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11 daysMLCE-1271 Enable ACL build with OpenMP as default scheduler.Colm Donelan
Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I7d1156812c8765ffccd1cc2cabd4f9450f14f676
2024-04-23Add a build option to enable the OpenMP scheduler in ACL.Colm Donelan
Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I75ee45444cd2f7b895e564e78c29fe67c1a8a4fc
2024-03-12IVGCVSW-8230 Add ScatterNd to Serializer and DeserializerKevin May
* Added parsing functions to the serializer and deserializer * Added ScatterNd and its Descriptor to the ArmnnSchema.fbs * Added Unittest for Serializer and Deserializer Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I1ed674dc32d2e2d0d84dca4c7018984ea367ea50
2024-03-08IVGCVSW-8299 Optimisation to replace Max + Min with Bounded ReluTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I0774a9580710350bd0a959cf68dfe057f52e4330
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
2024-02-28IVGCVSW-8172 Add macOS support to build tool setupTracy Narine
* Updates build rules for platform * Failing unit tests excluded (dynamic backends, profiling) * install-packages.sh generates manual setup information Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: I2d3d434aa615a8796c0cb94cd5b9c35a5acfd148
2023-12-07IVGCVSW-8157 - Rebase existing GpuFsa patches to 23.11David Monahan
Squashed commit of the following: IVGCVSW-7159 Add GpuFsa backend skeleton IVGCVSW-7380 Update the GpuFsa Skeleton to build and load ACL IVGCVSW-7381 Add IsLayerSupported implementation to GpuFsa backend IVGCVSW-7382 Implementation of Conv2d within GpuFsa Signed-off-by: James Conroy <james.conroy@arm.com> Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Id23d9ee598535de7b38a99ca223cdf0ad2102cef
2023-09-28IVGCVSW-7504 Create a backend specific optimization to fuse ↵Tracy Narine
ADD+MUL+Add+(Activation) in CpuAcc * Adding CpuAcc backend optimization to fuse add+mul+add into one layer * Tests added/enhanced * Also added optional extended parameter to Graph::Print() and throw macros that could be used in place of assert Signed-off-by: Tracy Narine <tracy.narine@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I5f8d094b969a130d8c2c7b4da07426313a9fea76
2023-09-08IVGCVSW-7525 Add broadcast_to to TFLite ParserIdriss Chaouch
* Changing the optimizer * Changing EndToEnd Tests Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com> Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Ib581794280322a39cfc5ea3c4e6a6398cf723d5e
2023-09-06bugfix: install missing profiling headersFrancis Murtagh
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I996be4822831fc2106d0c8274af24d5359f8c118
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
2023-07-26IVGCVSW-7885 Add TILE to TFLite parserTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ic2c3a89b89f44f111e5a184c83db89ea1cb52976
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
2023-07-12Add Square as Mul in the TfLite ParserTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I5760da9be2ed63fdfbdd5d3d7b771c310592798d
2023-07-07IVGCVSW-7832 Add REVERSE_V2 to Serializer and DeserializerTracy Narine
* Support for ReverseV2 for the serializer and deserializer added * Tests added * CMake files updated for the build * Fixed an issue with the operator_list documentation for Resize and ReverseV2 Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: If396f55ecdd763d6f91c51707809f4bd58715cec
2023-07-05IVGCVSW-7833 Add ReverseV2 support to TFLite ParserTianle Cheng
* Added ReverseV2 support to TFLite Parser * Added ReverseV2 TFLite Parser unit tests * Updated Parser Docs Signed-off-by: Tianle Cheng <tianle.cheng@arm.com> Change-Id: Idb9a9213f75cd6cf01509a5d06ea5772cf56ac5b
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
2023-07-03IVGCVSW-7828 Add an Optional TensorInfo to InputSlotMike Kelly
* Updated calls to use the new function From: GetInputSlot(n).GetConnection()->GetTensorInfo(); To: GetInputSlot(n).GetTensorInfo(); * Added UnitTests Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I43184cc05e4472011b9347aaa820eb8deb1cd4a0
2023-06-30IVGCVSW-7666 Add a FileComparisonExecutor to ExecuteNetwork.Colm Donelan
* Implement the "-C" command line option of executenetwork. * Add a FileComparisonExecutorFile which will read tensors from a previously written text file and compare them to the execution output. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I8380fd263028af13d65a67fb6afd89626d1b07b8
2023-05-17IVGCVSW-7400 POW IVGCVSW-7278 SQUARED_DIFFERENCE.John Mcloughlin
* Added 2 new operators as ElementWiseBinary ops * Ref End to End and unit tests * Serialize and Deserialize tests * Delegate and Opaque Delegate tests * TfLite Parser tests Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com> Change-Id: I537158127f602f0c41ca0402aa31655cd3bd4281
2023-05-09IVGCVSW-5846 Remove TODO statements from Armnn CodeDavid Monahan
* Removed all instances of TODO statements from comments * Removed statements are noted as part of IVGCVSW-5846 * Removed ProtoxtFixture.cpp from the Onnx Parser tests as it's not used Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Ia0a15f8a0d4123c8831638634eaa0d1018c40e2c
2023-05-08Improve reusability of code that is defined out by cmake build pathsRyan OShea
* Added new ARMNN_STUB_PROFILING and ARMNN_DISABLE_DYNAMIC_BACKEND defines to replace BUILD_BARE_METAL and BUILD_EXECUTE_NETWORK_STATIC * Add new CMake variables to disable sample apps and dynamic backends * Improve BUILD_SHARED_LIBS CMake variable * Add new archive output location to various libraries so that the static libraries appear in the same location as the shared libraries * Fixes for bare metal build * Add ARMNN_DISABLE_FILE_SYSTEM defines to missing locations Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Change-Id: I1db9a8f483e7134bd261294b35240cf21b150d45
2023-04-05IVGCVSW-7662 Update BuildGuideAndroidNDK.mdMike Kelly
* Fixed broken steps in BuildGuideAndroidNDK.md * Fixed broken links in BuildGuideAndroidNDK.md * Removed unneeded steps from BuildGuideAndroidNDK.md * Added instructions for building the tflite parser and delegate for android * Fixed errors in CMakeLists.txt that made it impossible to build without Neon or Ref. * Added build_android_ndk_guide.sh, a shell script that contains the same steps as BuildGuideAndroidNDK.md Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ie0479d3a2e4a776e7de88017b222d35a48c1fe10
2023-03-28IVGCVSW-7555 Restructure DelegateTeresa Charlin
* New folders created: * common is for common code where TfLite API is not used * classic is for existing delegate implementations * opaque is for new opaque delegate implementation, * tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use. * Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so * Opaque structure is introduced but no API is added yet. * CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added * Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE * Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed
2023-03-22IVGCVSW-7526 Upgrade ArmNN to Tensorflow 2.12Ryan OShea
When creating a flatbuffers model, we need to provide an empty buffer 0 that is reserved by tensorflow. When creating empty buffers for inputs and outputs we can not pass in an empty vector, or tflite will assume that we know how many bytes to allocate in advance. Instead we need to only pass in the builder. * Update libraries in FindTfLite.cmake * Add nullptr to delegate struct for OpaqueDelegateBuilder * Fix issue in unit tests where Flatbuffers model was not being parsed by tflite * Tensorflow 2.12 now includes C++ 17 features. Update our cmake build to require a compiler to support these features. * Change minimum cmake in Arm NN to 3.7 as that's the minimum for the delegate build. Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I7d15b196b8c59b1914f8fc1c4c2f8960630c069c
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
2023-03-06Fixing compare output feature in ExecuteNetworkColm Donelan
The -A -B -C options in execute network were attempting to calculate the RMS error over output tensors. However, the calculation was mixing tensor elements and bytes when doing the calculation. This patch changes the calculation to use a per byte RMS error calculation. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: If30230a16cfed1a8804b4d54ed1abcd371f26664
2023-01-23Refactor TOSA Common to be built without enabling the TOSA Reference backendMatthew Sloyan
* The only way to build TOSA common was to enable ARMNNTOSAREF. * Only include and link the required headers/libraries for TOSA Common. * Remove duplicate include_directories calls. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Ia5a19bf5b0bb903be0248ac550439df1e8ac5aa7
2023-01-06IVGCVSW-7031 Generate static execute networkRyan OShea
* Build ExecNet lib dependencies as object libs except libarmnn * Disable PIPE when building static ExecNet * Remove multiple definition from AsyncExecutionCallback * Disable DynamicBackend for ExecNet Static build * Disable inference tests for TfLiteParser and ONNX during static ExecNet * Remove Tensorflow Parser if condition * Add Disable thread macro to InferenceModel * Don't compile dynamic backend symbols in Runtime.cpp for Baremetal and Exenet Static Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Change-Id: If41c063eab5f05b3df0a6e064924a36a177f116a
2022-12-19Github #712: Use static libraries not object libraries for support libraryFrancis Murtagh
* .o files were being installed by cmake. Change-Id: Ie2056e09b4800fe208d784a90f3908d508b8cadf Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
2022-12-12IVGCVSW-7209 Remove deprecated code due to be removed in 23.02Mike Kelly
* Removed weights and bias from Convolution, DepthwiseConv & FullyConnected layers * Removed the weight and bias ConstTensorHandles from the QueueDescriptors * Updated Workloads to take tensors from WorkloadInfo rather than the QueueDescriptors * Removed unused RedirectMembersToConstantInputs optimization and tests. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I9ffcdc4a1c0dff725539dd69fc435b700bd98a56
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
2022-10-27IVGCVSW-7273 Integrate TOSA Reference Model into Arm NNMatthew Sloyan
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Ie9aa1aa20a5bc837e005a7a36d4d07b4cd8d021b
2022-09-07IVGCVSW-7209 Remove deprecated code due to be removed in 22.11Teresa Charlin
* Files deleted when Stabilizing the API Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I0ae73ee36968fa880761c10358bfa827be5fe054
2022-09-05IVGCVSW-6497: BatchMatMul TfLite ParserSamuel Yap
* Added armnnTfLiteParser for BatchMatMul * Added unit testing for parser * Updated CMakeLists Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: If6842aaf7cf08f688093b714e2ecea6e8cd87161
2022-08-30IVGCVSW-7104: BatchMatMul Serializer/Deserializer SupportSamuel Yap
* Updated FlatBuffers schema for BatchMatMul layer type * Added Serializer and Deserializer implementations for BatchMatMul * Added unit tests for BatchMatMul serialization and deserialization * Updated CMakeLists and docs Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: Iad63afbd036a3eb648683eb7416a475561aa20cb
2022-08-30IVGCVSW-7133 Add TosaMappings backbone structure with support for Addition ↵Cathal Corbett
TosaMappings operator. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ibea0cf625b3af4ab38e8b985f7a129c983ca9659
2022-08-29IVGCVSW-7140 Produce map file for AndroidNN build for debug and release.Cathal Corbett
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ib4433767ba8bd3282a9b19c2a85ff1a6e7e83df5
2022-08-05GitHub #667: Neon fold padding into average pool 2D quantization bug fix.Cathal Corbett
* Originated from a GitHub issue: https://github.com/ARM-software/armnn/issues/667 * Initially, Arm NN supports the pool 2D operation because there is no padding on the pool2d. Neon failure occurs when padding is followed by average pool 2D due to folding optimization. * Here we prevent the folding optimization from happening for the above special case and add it in as a backend specific optimization. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ia0fd90c3a6b4b9d29c81106f154617d2e893e26b
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
2022-07-27IVGCVSW-6978: RedirectMembersToConstantInputs does not work with ↵Francis Murtagh
Fp32NetworkToBf16Converter * Fuse FP32ToBF16Layers with Constant Layer so Conv2d/FullyConnected can have their weights redirected. * If BF16 Unsupported in Conv2d || FullyConnected revert fused Constant Layer to FP32 Change-Id: If523c708a822659d64597d9ae39cca1c2f84b76f Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
2022-07-27IVGCVSW-7096 Harmonise macro ARMNN_TFLITE_DELEGATETeresa Charlin
* Remove ARMNN_TF_LITE_DELEGATE and DARMNN_TF_LITE_DELEGATE Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I3fc08da3fa0b733e6791c42f6bc59494f2bc26a6
2022-07-27IVGCVSW-6620 Update the async api to use ExecutionDataMatthew Sloyan
* ExecutionData holds a void* which can be assigned to data required for execution in a backend. WorkingMemDescriptors are used in the Ref backend which hold TensorHandles for inputs and outputs. * Updated ExecuteAsync functions to take ExecutionData. * Added CreateExecutionData and UpdateExectutionData to IBackendInternal. * Streamlined experimental IWorkingMemHandle API by removing map related function and unused m_workingMemDescriptorMap from WorkingMemHandle. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I54b0aab12872011743a141eb42dae200227769af
2022-06-30Fix for broken EthosN buildNikhil Raj
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I58b2c3fa846795cb2d0f88465c645c0a2fdf7fdc
2022-06-29Add jni interface for the ArmNN DelegateJan Eilers
* adds a version script to hide away all symbols that are not required to use the interface * the main purpose of the jni interface is to enable the delegate to be used in android apps * Add static building to patch - see patch 7 for JNI patch only Signed-off-by: Jan Eilers <jan.eilers@arm.com> Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I9bb2d698b5fdb0d1b30cf79e6f19746310cd61b2
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
2022-06-26IVGCVSW-6989 'Fixed build issue'Sadik Armagan
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I20e22821b6d4532953ddec2a8eac2a0f09e8013b
2022-06-20IVGCVSW-6989 "Merged experimental/armnn_shim_sl"Sadik Armagan
* Updated Serializer CMakeLists.txt to build armnnSerializerObj * Added constant tensors as input support to SL Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I22f6cf50147d99a01f7fe70d7446b114a4c57af3
2022-05-26GitHub #644 fails to build with flatbuffers 2.0.6Mike Kelly
* Removed the pre-generated ArmnnSchema_generated.h * This version was generated using flatbuffers v1.12.0 and it contains code that's incompatible with newer versions * Android.mk will look for ArmnnSchema_generated.h in the armnnGenerated directory in the armnn directory. * The Serializer and Deserializer will look for ArmnnSchema_generated.h in the armnnGenerated directory. !android-nn-driver:7626 Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I13ff6b6c78740cf1f82750f56caab83200e6a3e5 Signed-off-by: Mike Kelly <mike.kelly@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-19 13:02:24 +0000