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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
2022-12-07IVGCVSW-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
2022-11-16IVGCVSW-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
2022-10-19MLCE-545 INT8 TFLite model execution abnormalKeith Davis
* Add functionality to print output tensors to file in tempdir * UnitTests Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Idfb4c186544187db1fecdfca11c662540f645439
2022-10-04MLCE-545 INT8 TFLite model execution abnormalKeith Davis
* Fix for Debug mode in ExNet does not work with ConstTensorsAsInputs * Remove unnecessary assertion with ambiguous message in LoadedNetwork Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I9cd5d1f811dbbc89072d1190c510bf1b22e3069c
2022-09-28IVGCVSW-7209 Delay one release the removal of weights and biasTeresa Charlin
* This affects only to the layers (not workloads) Conv, DWConv and FC Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I66a91ed1a78bc0464e00423c7fc7c28c91d199ce
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
2022-09-05IVGCVSW-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-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
2022-08-29Bug Fix for refactor of the ExecuteNetwork for strategy in Precompiled layer.Teresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib91b734d4add47e23ad00f76e53f1873ff617831
2022-08-05IVGCVSW-7147 Bug Fix for refactor of the ExecuteNetwork for strategy in ↵Teresa Charlin
ConvertLayers. * ConvertBf16ToFp32Layer * ConvertFp16ToFp32Layer * ConvertFp32ToBf16Layer * ConvertFp32ToFp16Layer Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I5e763519a12f017dc14b09ea191fdb3b7398c0d7
2022-08-05Bug Fix for refactor of the ExecuteNetwork for Strategy in MemCopyLayerTeresa Charlin
* Correcting some typos Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Icb21dc4828e51afa38816bd454926fc41e9e82cb
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
2022-05-19IVGCVSW-6145 ConstTensorsAsInput: Optimizer Fix - GetConstantTensorsByRefFrancis Murtagh
* Add functionality to check for ConstantTensorsAsInputs to GetConstantTensorsByRef * Reorder optimizations so RedirectMembersToConstantInputs occurs after Conversion of Constants * Ensure graph is in topological order after loading in OptimizedNet * Fixed test to check release of m_LayerOutputs. Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I7cff50798d7217e8ea0d2f9b153eabd10174a566
2022-05-18IVGCVSW-6929 Support for models with implicit expandedMike Kelly
dimensions * Added allow-expanded-dims to TFLite parser and ArmNN delegate * If true ArmNN will disregard dimensions with a size of 1 when validating tensor shapes. Tensor sizes must still match. * This allows us to support models where tensors have expanded dimensions (i.e. extra dimensions with a size of 1). * Fixed bug in Network where it assumed that only the first option could be ShapeInferenceMethod. * Fixed bug where m_ShapeInferenceMethod was lost when copying or moving Graphs. * Changed Delegate to pass "infer-output-shape", "allow-expanded-dims" and other BackendOptions through to the Network during construction. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ibe7c5ae6597796fc9164cb07bd372bd7f8f8cacf
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
2022-05-05IVGCVSW-6806 Add Unidirectional Sequence Lstm support to NeonMike Kelly
* Corrected TensorInfo order for IsUnidirectionalSequenceLstmSupported * outputStateOut TensorInfo is not optional. * cellStateOut TensorInfo is not optional. * TensorInfo Order matches other QLSTM/LSTM layers. * Added missing parameters to UnidirectionalSequenceLstmOperator for delegate. * Added quantized UnidirectionalSequenceLstm support to Neon !android-nn-driver:7457 Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I26dde1bb96793dd25eb9081ca5ae5f63752288c4
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
2022-02-03IVGCVSW-6724 Accessing ConstTensors from IConnectableLayerNikhil Raj
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I01f42a520d15c6dabd2f77c7715c91b8f7026476
2022-02-02IVGCVSW-6639 Add GetParameters to IConnectableLayerJim Flynn
Change-Id: Id55a460ecb510f5b30235b03f54390f2c8188fc2 Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2022-01-18IVGCVSW-6641 Stabilize the IWorkloadFactory interface with unified strategyTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ia941be9bf2c15fe56e49a9b9a2bbe943a8152438
2021-12-15IVGCVSW-6626 Promote backend headers in backendCommon to armnn/backendsColm Donelan
Move the following header files from backendsCommon to armnn/backends. * MemCopyWorkload.hpp * TensorHandle.hpp * Workload.hpp * WorkloadData.hpp * WorkloadFactory.hpp Replace them with forwarding headers and a pragma deprecation message. Resolve the deprecation messages in Arm NN code. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I47f116b30f86e478c9057795bc518c391a8ae514
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
2021-10-22IVGCVSW-6440 Print new Optimize and LoadedNetwork profiling pointsKevin May
* Add parent LoadedNetwork profiling point * Make generic populateParent function to print new descendents in json Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I41dc876bffae88e61a16d07fb13b062c321e78a6
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
2021-10-07IVGCVSW-6459 Add support of scalar and flexible output datatypes to ONNX parserNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Id1e933f6ae55ddc1a57c80c9f6a5757ccb61f018
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
2021-09-24IVGCVSW-6382 Add Gather operator support to ONNX parserNarumol Prangnawarat
* Add ParseGather to support Gather operator on ONNX * Add Support of int64 converted to int32 for constant * Add OnnxParserTestUtils * Refactor ValidateTensorShapesFromInputs of GatherLayer * Unit tests Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Ie9dff640240e14a062fef38f7faf0ccc212de5f7
2021-08-09IVGCVSW-6119 ConstTensorsAsInput: FullyConnected Bug FixMatthew Sloyan
* Updated FullyConnected layer member variables when cloning as some backends still require them. * Added SetConstant call when using deprecated AddFullyConnectedLayer method to ensure backwards compatibility. * Added SetConstant to SimpleSample to ensure it runs on all backends. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Ie7b4e4b868f23f8fcf9c41ffd12e2ea9ea53afca
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
2021-08-04Fixed bugs in PreCompiledLayerMike Kelly
* Fixed PreCompiledObject type (was const void** instead of void*) * Fixed bug where a new shared_ptr was being created instead of allowing std::move to convert the unique_ptr into a shared_ptr. * Improved tests to ensure that the original pointer is maintained. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I3f50d51775ee0180c894c2843ed7bc990a771dea
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
2021-06-30IVGCVSW-6114 Create multiple LoadedNetworks from one OptimizedNetworkMike Kelly
* Added IOptimizedNetwork constructor that takes another IOptimizedNetwork and a ModelOptions. * Changed PreCompiledLayer to use shared_ptr rather than unique_ptr to store the PreCompiledObject (no interface changes). * Added unit tests to ensure that PreCompiledLayer::Clone() clones the pointer to the PreCompiledObject correctly. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I3ef56055e0d189ffce9e651882d34da16c70a240
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-5826 Change weights layout for depthwise to [1,H,W,I*M]Jan Eilers
* This change is necessary because tflite uses a [1,H,W,I*M] format and uses the I*M dimension for per axis quantization. Our previous layout [M,I,H,W] can't handle the correlating quantization scales. * Updates Onnx-, TfLiteParser and TfliteDelegate * Updates the CpuRef, CpuAcc and GpuAcc backends * Adjusts unit tests * Adds test to ensure models with old layout can still be read and executed * Adds conversion function to previous layout [1,H,W,I*M] --> [M,I,H,W] which can be used by backend developers !android-nn-driver:5553 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ifef23368b8c3702cf315a5838d214f7dc13c0152
2021-05-08IVGCVSW-5818 Enable import on GPUNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I4e4eb107aa2bfa09625840d738001f33152e6792
2021-05-06IVGCVSW-5815 Generalise ConstCpuTensorHandleJames Conroy
* Generalises ConstCpuTensorHandle and inherited classes by removing 'Cpu' from aliases. * New renamed classes: ConstTensorHandle, TensorHandle, ScopedTensorHandle, PassthroughTensorHandle, ConstPassthroughTensorHandle. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I1824e0e134202735fb77051f20a7252f161dfe16
2021-04-29IVGCVSW-5819 5820 5821 Add MemorySourceFlags to ↵Francis Murtagh
TensorHandleFactoryRegistry::GetFactory * Modify Layer::CreateTensorHandles to include MemorySource * Modify INetworkProperties to add MemorySource * Disable Neon/Cl fallback tests until full import implementation complete Change-Id: Ia4fff6ea3d4bf6afca33aae358125ccaec7f9a38 Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
2021-04-29IVGCVSW-5890 Prevent modification to const layers with multiple connectionsColm Donelan
* In AddBroadcastReshapeLayerImpl check if a constant layer has other connections before modifying its output tensor shape. * In ElementWiseBaseLayer replace an ARMNN_ASSERT with a proper error message. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: Id3f3796c260eede61f076660505257a8b65d93fc
2021-04-29IVGCVSW-5744 Remove Tensorflow, Caffe and Quantizer from documentationKevin May
* Remove from .md files and Doxygen * Remove from armnn/docker build * Remove Tensorflow model format from ExecuteNetworkParams * Remove Tensorflow model format from ImageTensorGenerator Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: Id6ed4a7d90366c396e8e0395d0ce43a3bcddcee6
2021-04-20IVGCVSW-5816 Constant memory accessFrancis Murtagh
* Add new class ManagedConstTensorHandle to Unmap when out of scope * Integrate into existing layers that have constants * Add unit tests Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I0a05e14e438804b37e9862e76b5ca329483f6b45
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
2021-04-07Fix graph copy memory spikeFinn Williams
* Change layer storage of ConstTensors to std::shared_ptr<ConstCpuTensorHandle> * Change clone to share ConstTensor rather than copy * Remove uses of non-const GetTensor() call * Reduce scope of non-optimized network in ExeNet, so memory can be released after use Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: Ibb2c7309d12411d21405bd6024c76bcdf5404545
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
2021-03-12IVGCVSW-5767 'Regression on SqueezeNet v1.1'Sadik Armagan
* Update ReduceLayer to use descriptor parameters Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I2ff240f63534de0fd647428cf411763829412443
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