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2019-02-07IVGCVSW-2553 Add Unit Test for ConstTensor layer visitorsjimfly01
Change-Id: I20a67135e4af7aa1f28f5000d73122f4e5e3acd5 Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2019-02-07IVGCVSW-2609 Quantize BatchNormalizationLayerDerek Lamberti
Change-Id: I7b847112a0322ffc8b88a0708d8439bfb97cfe2c Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-02-06IVGCVSW-2654 Test quantization of addition, input and outputDerek Lamberti
Change-Id: I6c61df213278e6ba65807932548bb2eaa159deba Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-02-06IVGCVSW-2606 Produce quantized InputNetwork from simple FP32 InputNetworkDerek Lamberti
Change-Id: I2140a7af5961ddf8267fbb127202de3900ea79e3 Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-02-04IVGCVSW-2551 Add Descriptor and name only unit tests for VisitorFrancisMurtagh
* Add concrete subclasses for layers taking descriptor as argument * Add unit test cases for all layers Change-Id: Ie0135b34a5a41e5ce654b7c3186eccea392ab919 Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
2019-02-01IVGCVSW-2552 Add unit tests for the input and output layers for VisitorFrancisMurtagh
Change-Id: I73ae9b43fa1631fdec423177d37fffc719c71f88 Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
2019-01-31IVGCVSW-2471 Code cleanup where necessaryMatteo Martincigh
* Added comments for the new API functions * Added comments to some critical parts of the code * Removed unnecessary code Change-Id: I04d4e7373b45b8a3806cacc93a8bd09351c0972a Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
2019-01-30IVGCVSW-2458 Refactor the Optimize function (Network.cpp) so thatMatteo Martincigh
subgraphs are optimized by the backends * Added a new method OptimizeSubGraph to the backend interface * Refactored the Optimize function so that the backend-specific optimization is performed by the backend itself (through the new OptimizeSubGraph interface method) * Added a new ApplyBackendOptimizations function to apply the new changes * Added some new convenient constructors to the SubGraph class * Added AddLayer method and a pointer to the parent graph to the SubGraph class * Updated the sub-graph unit tests to match the changes * Added SelectSubGraphs and ReplaceSubGraphConnections overloads that work with sub-graphs * Removed unused code and minor refactoring where necessary Change-Id: I46181794c6a9e3b10558944f804e06a8f693a6d0
2019-01-29IVGCVSW-2549 Add name only layer unit tests for VisitorFrancisMurtagh
Change-Id: I304ddd3efa2f1c5a8e2143276a97c031a624601e
2019-01-29IVGCVSW-2569 Add implementation of ConstTensor Accept functionsjimfly01
* Create the required ConstTensors and pass them to the appropriate visit method. Back fill of dummies added during IVGCVSW-2547 * Moved the VisitDetectionPostProcessLayer function declaration in ILayerVistor to its correct location after the VisitDepthwiseConvolution2dLayer functions. Change-Id: I0bd2f8c3603cbdb933b1216ead96dd8273eb5013
2019-01-28IVGCVSW-2548 Add member function to check layer pointer not nullFrancisMurtagh
Change-Id: I48c8795e546e3a36414ae88316908519d5879628
2019-01-28IVGCVSW-2548 Add the TestLayerVisitor classFrancisMurtagh
* Add abstract base class TestLayerVisitor Change-Id: Id453f3ad9721f3680166a41b75a1880cf20032f7
2019-01-25IVGCVSW-2556 Add Layer implementation for Detection PostProcessNarumol Prangnawarat
* Add DetectionPostProcessDescriptor. * Add implementation for DetectionPostProcessLayer. * Unit test to validate output. Change-Id: If63e83eb2a2978c549071c7aeb272906e7c35fe9
2019-01-25IVGCVSW-2547 Add Accept function to IConnectableLayerjimfly01
* Layers which callback VisitXXXLayer with ConstTensor have been implemented with dummies to speed up implementation and unblock IVGCVSW-2531 Change-Id: I49b8035f12ec72d6bd6cee95075692f98c48e193
2019-01-24IVGCVSW-2555 Add no-op implementation for Detection PostProcessNarumol Prangnawarat
* Added DetectionPostProcessQueueDescriptor to WorkloadData * Added CreateDetectionPostProcess function in WorkloadFactory.hpp * Added stub implementation of the CreateDetectionPostProcess in workload factories * Added DetectionPostProcessLayer stub implementation * Added AddDetectionPostProcessLayer to Network * Added IsDetectionPostProcessSupported to LayerSupportBase Change-Id: Ifc071b3b6b12877c997bdcc43d769c8f891d5c6c
2019-01-24IVGCVSW-2503 Refactor RefElementwiseWorkload around Equal and Greaterkevmay01
* Remove Equal and Greater from RefElementwiseWorkload * Create RefComparisonWorkload and add Equal and Greater * Update ElementwiseFunction for different input/output types * Update TfParser to create Equal/Greater with Boolean output * Update relevant tests to check for Boolean comparison Change-Id: I299b7f2121769c960ac0c6139764a5f3c89c9c32
2019-01-23IVGCVSW-2511 Add end to end Gather layer testnarpra01
* Add end to end test for Gather operator * Add Support for int32 to Constant layer for Ref * Add Int32Workload * Add RefConstantWorkload as template for float, uint8, int32 * Remove unused RefBaseConstantWorkload * Remove unused RefConstantFloat32Workload * Remove unused RefConstantUint8Workload * Add support check for int32 in LayerSupport functions Change-Id: Ic970588a49ebe2aafb12be8adef52371feacaa7b
2019-01-23IVGCVSW-1048 RESIZE_BILINEAR NEON operatorSadik Armagan
* Implemented NeonResizeBilinearWorkload * Enable ResizeBilinear Operator unit tests for Neon !android-nn-driver:405 Change-Id: Iec3100ccaf7d246e8eaf683d1f3ec9191df5241e
2019-01-23IVGCVSW-2455 Move the extra backend code to a new git repoMatteo Martincigh
* Refactored all the workload factories to use "virtual" properly * Removed the precompiled layer support from the optimizer * Disabled compiler optimization for debug build to ease debugging Change-Id: I6ab83abd78f422771359295e25b79bb9be613cfd
2019-01-23IVGCVSW-2467 Update Boolean type supportNattapat Chaimanowong
Change-Id: I0ab3339e8803a3e4e700d8fec9883eccc524b31e
2019-01-22IVGCVSW-2509 Add GatherLayer implementationnarpra01
* implementation of ValidateTensorShapesFromInputs * unit tests Change-Id: I1ed88f8ba0ea20329a259c5f36caea4b1fbeb013
2019-01-22IVGCVSW-2467 Remove GetDataType<T> functionNattapat Chaimanowong
Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
2019-01-16IVGCVSW-2508 Add no-op factory implementations and layer for Gather operatornarpra01
* Added GatherQueueDescriptor to WorkloadData * Added CreateGather function in WorkloadFactory.hpp * Added stub implementation of the CreateGreater function in workload factories * Added GatherLayer stub implementation * Added AddGatherLayer to Network * Added IsGatherSupported to LayerSupportBase Change-Id: I0408fd54e88a7d4e3d9e1c2811a9323f0da52a04
2019-01-15IVGCVSW-2454 Merge together the pluggable backends work (was in aMatteo Martincigh
separate branch) and master * Brings in all the changes done for the pluggable backends * Added sub-graph support and tests * Added precompiled layer support and tests * Moved BackendSettings to a separate file * Removed the backend-specific code * Ported DebugLayer and associated functionality * Included fixes to make those changes work with master Change-Id: Id7028fa7917527b844628d5aff5732e3d94c0488
2019-01-11IVGCVSW-2454 Refactor ArmNN to support pluggable backends from a separateMatteo Martincigh
code base * Made the virtual functions in ILayerSupport.hpp pure * Created a LayerSupportBase class with the default implementation of the interface * Made the backend layer support classes inherit from the base class, instead of directly from the interface * Refactored the profiler and the profiling event classes to use the BackendId instead of the Compute * Implemented a proper MemCopy support method * Changed Compute to BackendId in the profiling API and objects * Removed static references to pluggable backends !android-nn-driver:492 Change-Id: Id6332b5f48c980819e0a09adc818d1effd057296
2019-01-07IVGCVSW-2371 Add Rsqrt Ref implementationMohamed Nour Abouelseoud
*Added Unit Tests Change-Id: I6cceb8e6dcda35ce08415f8e5ca86019a64d26e3
2019-01-04MLCE-77 Depthwise Convolution with depth multiplier > 1 doesn't workMatteo Martincigh
* Unified ArmNN's weight format to [ M, I, H, W ] for the depthwise convolution * Added conversion utilities to permute/reshape the weights as appropriate when using CL and Neon backends * Updated the reference implementation of the convolution * Updated the relevant unit tests accordingly !android-nn-driver:459 Change-Id: I07d0818efa9d1ca1e5dad82983aac1fe78eadb18
2019-01-02IVGCVSW-2353 Ignore control inputs in TensorFlow parsernarpra01
* Allow control inputs from TensorFlow graph but ignore them in ArmNN graph. * Add utility function to test ArmNN graph structure. * Add ArmNN graph structure tests in TensorFlow paresr to ensure that control inputs are ignored in ArmNN graph as well as their inputs that are not used anywhere else. Change-Id: Ib0ea0d2df85e3fc79b748fa4c9d20e0649352bc1
2018-12-24IVGCVSW-59 Add documentation to the public APIConor Kennedy
* Add documentation to the Descriptors * Add documentation to the layers Change-Id: I5e0849753903565227fd47d329a600fd90b2feb9
2018-12-20IVGCVSW-2367 Add Equal Operator to TfParserjimfly01
* Unit tests in Equal.cpp * Fixed error in Network::AddEqualLayer * Refactored TfParser::Minimum/Equal to get rid of duplicate code Change-Id: I0ed6f888eb391c995b88be20dc0c1b916dd14c3c
2018-12-17IVGCVSW-2398 Add no-op factory implementations for all backends for theFrancisMurtagh
Equal operation * Add QueueDescriptor in WorkloadData.hpp * Add CreateEqual function in WorkloadFactory.hpp * Added stub implementation of the CreateEqual function in RefWorkloadFactory, NeonWorkloadFactory and ClWorkloadFactory Change-Id: Iec6dc2f989c67fa6f0c32cfb93508995c8580783
2018-12-14IVGCVSW-2377 Add no-op factory implementations for all backends for theMatteo Martincigh
Greater operation * Added QueueDescriptor in WorkloadData.hpp * Added CreateGreater function in WorkloadFactory.hpp * Added stub implementation of the CreateGreater function in RefWorkloadFactory, NeonWorkloadFactory and ClWorkloadFactory * Added GreaterLayer stub implementation * Renamed ArithmeticBaseLayer to ElementwiseBaseLayer Change-Id: I7e38c2936de905da921a92ba3f918478169ec7f5
2018-12-13IVGCVSW-2348 Support boolean data typeruoyan01
Change-Id: Ifd28e049192e6f5fe5c0f5d358afb2b530eef882
2018-12-11IVGCVSW-1434 Add debug mode to Optimizerkeidav01
* Modified optimizer to support debug mode via DebugLayer Change-Id: Ic8f313778e55540c182cf99876c44a0823be04c6
2018-12-07IVGCVSW-2268 Remove the input swizzling from ParseConcatMatteo Martincigh
* Removed the input swizzling when the concatenation dimension is 3 in ParseConcat in the TF parser * No longer using the helper ProcessConcatInputTensorInfo, where the input was being swizzled if the concatenation dimension was 3 * Added a new convenience constuctor to TensorShape that initializes a shape to all zeros given only the number of dimensions Change-Id: I82a207e41bddc5fea21a0b5a38eafa24ad75d1c2
2018-12-06IVGCVSW-2315 Add descriptor for DebugNattapat Chaimanowong
Change-Id: I6b26c681989ef815752186f027a245ef8da7aea2
2018-12-05IVGCVSW-2296 Add ParsePad method to TfParserjimfly01
* Also added unit test armnnTfParser/test/Pad.cpp * Added missing 'Pad' entry to GetLayerTypeAsCString(LayerType) * Fixed the RefLayerSupport.IsPadSupported, now it returns true * Small fix in Optimize. Only resolve stringstream to string once Change-Id: Ieaa1886858a48cd761ac5f30454f73e44bdd4b8f
2018-12-05IVGCVSW-2264 Move DataLayoutIndexed to armnnUtilsMatteo Martincigh
* Since DataLayoutIndexed is now required in the TF parser, this changes move it to the armnnUtils library so that it'll be accessible by the armnnTfParser * Modified CMake files and Android.mk files accordingly Change-Id: Ie2620359ef288aeff64cb9e9bec068a466eee0e9
2018-12-04IVGCVSW-2247 Adding a min Elementwise Workload and testsÉanna Ó Catháin
Change-Id: I017ca6c23b62a8978982de0ca4ad204cb8cf7c67
2018-12-03IVGCVSW-2315 Add DebugLayer and no-op factory methodNattapat Chaimanowong
Change-Id: I5455b720565248ff94278e76887d63f8434a7b58
2018-11-29IVGCVSW-2245 Add Minimum Layer and no-op Factory implementationkevmay01
Change-Id: I03fa374fd9692d98257de709f8c3ad0a49c88b95
2018-11-28IVGCVSW-2202 Refactoring Arithmetic* names to Elementwise* names for ↵Éanna Ó Catháin
workloads and workload functions Change-Id: I6f3fce12a55f7d38ceafcdfcd6b5181bf56e2c09
2018-11-28IVGCVSW-2253 Add maximum layer and corresponding no-op factory implementationNattapat Chaimanowong
Change-Id: I8964f5e8978c2d2a07734a381e3f7c656c22456a
2018-11-26IVGCVSW-2087 Reference implementation and unit tests for StridedSliceNattapat Chaimanowong
Change-Id: Ifeacc0adb4547c72537b9ea7a61bf3c4ec3673fa
2018-11-26Fix compile errors on WindowsRob Hughes
Change-Id: I40acb42360bfcda09485efb2a54144d8e35bdafb
2018-11-22Refactor inlined utility functions in NetworkUtilsAron Virginas-Tar
Change-Id: I26fb13717f64c942b2648702c52be18be856042d
2018-11-21IVGCVSW-2086 Update StridedSliceLayer and StridedSliceDescriptorNattapat Chaimanowong
Change-Id: Ifa88a879dd239f60ab27330d6b73859393828ef0
2018-11-20IVGCVSW-2144: Adding TensorUtils classNina Drozd
* helper methods for creating TensorShape and TensorInfo objects Change-Id: I371fc7aea08ca6bbb9c205a143ce36e8353a1c48
2018-11-20IVGCVSW-2043 Merger using ACL for innermost concat axisMatteo Martincigh
* Fixed unsigned to signed conversion error that was breaking master Change-Id: I08d79d9bf131eb46ea0495371160698ab59c1721
2018-11-19IVGCVSW-2169 Remove DataLayoutIndexed from public APIMatthew Bentham
Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd