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2019-11-23IVGCVSW-4158 FP16 Mobilenet V1 and V2 30% regression on ArmNN on Mate20Sadik Armagan
* Enable FP16 mixed precision for Android Q Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I5ddb94b13385e1fec39e4407dffc8e4bc6b8d64a
2019-11-21IVGCVSW-4148 Report quant multiplier > 1 as unsupported for ACLJames Conroy
* This is a temporary measure that needs to be removed when quantization multiplier > 1.0f support has been added for NEON and CL. * Layers affected: convolution, depthwise convolution, dilated depthwise convolution and transpose convolution. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: Ief1aec2ff0eedf8250f6a8675288e1c343dcfce4
2019-11-20IVGCVSW-4151 HAL 1_2 Dequantize FP32 Per Channel Tests on CpuAcc FailingSadik Armagan
* Added support for data types QuantisedSymm8 and QuantizedSymm8PerAxis as they are supported on CpuAcc Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I55f81b35c8869bc37b7634bdbe91b8e3339eb648
2019-11-19Revert "Only enable mixed precision FP16 pooling for Android Q"Kevin May
This reverts commit 60538ada2b90704abcf6473144639103d80287a5. Change-Id: I099e397fe1232e0f470d89a11d220752543e4e4c
2019-11-19IVGCVSW-3697 Add check for ArgMinMax QAsymm8 to ClLayerSupportFrancis Murtagh
* Enable Neon EndToEnd tests for ArgMinMax QAsymm8 * Enable Neon Layer tests for ArgMinMax QAsymm8 Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Ifa7463ded4397cacb82fb3667006f08ecbe3cd32
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
2019-11-19IVGCVSW-3729 Added neon slice workload and supporting neon layer testsjosh minor
* Support added for ACL neon slice workload * Utility function created to translate ArmNN slice layer params to ACL neon slice layer equivalent * Neon slice layer tests added as per SliceTestImpl.hpp Signed-off-by: josh minor <josh.minor@arm.com> Change-Id: Id583465311879af139e8e977f16ed2280c937ac7
2019-11-19MLCE-144 Cts NNAPI test cases failedMike Kelly
* Fixed numerous CTS/VTS failures related to Quantization Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: If5c20256366e80b6b9bbc46b2a1c410a9b8c48e1
2019-11-15IVGCVSW-3486 Add clipping parameter validation in LstmQueueDescriptorjaneil01
* Add clipping parameter validation in LstmQueueDescriptor * Related UnitTest Signed-off-by: janeil01 <jan.eilers@arm.com> Change-Id: I86ff81cacc0e1fff5b78a8d6c2dcbf9ff57e2272
2019-11-15IVGCVSW-4119 Fix FP16 to FP32 fallback mechanism in optimizer to work with ↵Aron Virginas-Tar
Dequantize * Check for output data type as well as input data type when determining whether we should attempt to fall back to FP32 if FP16 is not supported * Override output type for Dequantize in IsLayerSupported() instead of input type * Updated original input type from FP16 to FP32 in InsertConvertFp32ToFp16LayersAfter() Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Ic6477fd17cea5a91bd8bf9ae0cf836520897d5b7
2019-11-15IVGCVSW-4140 Report per-axis quantization as unsupported for ↵Aron Virginas-Tar
DepthwiseConvolution on ACL backends * This is a temporary measure that needs to be removed as soon as the NEON and CL DepthwiseConvolution workloads will have added support for per-axis quantization Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I24eb285230293392a6ed50aece1101e5aed7f90e
2019-11-15NNXSW-1853 Change SubgraphViewSelector algorithmRob Hughes
The current algorithm in SubgraphViewSelector has a bug that can lead to it producing subgraphs which have a dependency cycle (see the newly added test case 'ValidMerge' for a repro). It also fails to merge subgraphs in some cases where it could, which leads to smaller subgraphs. In the case of FSRCNN, the NPU cannot support these smaller subgraphs and so this is blocking us from supporting that network. This commit changes the algorithm to fix the dependency bug and also make it so that subgraphs are merged in the cases that were missed before. It also adds some unit tests to cover cases that were problematic before, and to extend coverage for the new algorithm. The new algorithm has two downsides compared to the previous one: 1. Disjoint subgraphs are not merged. This can never lead to a failed compilation by the NPU and so I believe this is less of an issue than the previous algorithm's "missed merges". This could however lead to a runtime performance loss in some cases as the NPU will be unable to parallelise as many operations. There are some unit tests that cover this which I have disabled. 2. The performance is worse. I have spent some time analysing this and for a graph with ~1000 layers the new algorithm takes 20ms vs. the old algorithm's 4ms (on my desktop PC). I believe the performance is still within acceptable limits. I also compared inception V3 (which was the network which caused performance issues with the original version of the splitting algorithm) and this new algorithm has not regressed there (200-300us in both cases). Change-Id: I1dd64a779f272723621e04d203b5a2752a6af2ef Signed-off-by: Robert Hughes <robert.hughes@arm.com>
2019-11-15Print CMake messages on stdout rather than stderrRob Hughes
The default version of message("...") print to stderr, which is inappropriate for informational messages such as the ones we are printing in these cases. Using message(STATUS "...") makes these messages appear on stdout instead which is more appropriate. Change-Id: I02f41e6b4948e6938566f06d7164444bd5b8199e Signed-off-by: Robert Hughes <robert.hughes@arm.com>
2019-11-15Add FP16 support to DebugWorkloadAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Ia879f2d84a1b977474ee0dafa976f2aab32bd3ae
2019-11-15Only enable mixed precision FP16 pooling for Android QDerek Lamberti
Change-Id: Ic2c0ce7a7a99bbc430b7d6da272825540772e01d Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-11-14Fix redundancy in call to configure() in ACL DepthwiseConvolution workloadsAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I8f698c6ec9826ce1188bc43bd59fbf7b83455c1a
2019-11-14CL & Neon workload factories inherit from WorkloadFactoryBaseDerek Lamberti
Change-Id: I1f694be7ef1d333b5ef9b60ea7029454ade02628 Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-11-13IVGCVSW-4053 Enable ArgMinMax EndToEndTest for NEON/CLJames Conroy
* Enabled for Float32 only, as per support in ACL. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I251fc832e3058d389ee9bef96856baff89ba6f9a
2019-11-13IVGCVSW-4128 Add Signed32 to supported input types for Ref ArgMinMaxFrancis Murtagh
* Enabled RefLayerTests for Signed32 Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Idbe6fb7607c7e44a8df560b55f28c64a4c4286cd
2019-11-13IVGCVSW-3695 Add CL ArgMinMax workloadJames Conroy
* Also enabled copy to/from CL for Signed32. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I0113182891f9767de73f04dcd81252c84c996eda
2019-11-12IVGCVSW-4051 Update ACL pin to 94e0cf960ea6116eb57fa88d9b951f859b52c602James Conroy
* Add is_initalised() check to CLScheduler in ClContextControl. * Now use CLDepthwiseConvolutionLayer instead of CLDepthwiseConvolutionLayer3x3. * Now use NEDepthwiseConvolutionLayer instead of NEDepthwiseConvolutionLayerOptimized. !android-nn-driver:2212 Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I509af65315a4322dc820a5cc1bbd36ed6999b4a7
2019-11-12IVGCVSW-4079 Add support of per-axis quantization to DepthwiseConvolution2dTeresa Charlin
!android-nn-driver:2260 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Iad93c1940568ffa65ed314c8871ea66caf4f9e4a
2019-11-12IVGCVSW-3839 Add support of per-axis quantization to reference ↵Aron Virginas-Tar
TransposeConvolution2d Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Ie0dc1204eee925adfb1e59aba3f1137178302184
2019-11-11IVGCVSW-4064 ArmNN Master fails due to an error in RefArgMaxAxis2Uint8TestFrancis Murtagh
* Fix input data to allow for loss of precision due to valgrind which causes incorrect quantization of multiples of 5 with scale of 2. Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I354dcb8117e1ab07771b78d0e4808d9f3f95925b
2019-11-11IVGCVSW-4104 Report Conv2d per-axis quantization unsupported on ACL backendsAron Virginas-Tar
* Teporarily return false from IsConvolution2dSupported() whenever the weights tensor has per-axis quantization in order to avoid exceptions being thrown from ACL during attempted execution * Should be reverted once per-axis quantization support will have been added to the ACL backends Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Ie2e1a7f3f5550a4b43f7f007ee5c86a8760872eb
2019-11-08IVGCVSW-4067 Change LayerGuid to use ProfilingGuidjaneil01
* Refactoring to enable ProfilingGuid * Add profiling includes to Android.mk Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ieb25e15e3dc302eb42817d824ad8411ac76dcfe8
2019-11-08IVGCVSW-4077 Disable NEON memory importJames Conroy
* Temporarily handles cases in CalculateEdgeStrategy where dstFactory pointer is null when import is disabled. * This patch is required for ensuring debug layer works correctly when executing a model on Neon. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I7304723246d362d6d9073c3d0b1224e194a8532c
2019-11-08IVGCVSW-4108 Fixed invalid data type exceptionMike Kelly
* Added support for QuantizedSymm8PerAxis to ArmComputeTensorUtils. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ib8662f216bc4b6b54e0099780f73bcf6ef05384b
2019-11-08MLCE-144 Fix cts MAX_POOL_2D_V1_0 testsFinn Williams
Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I2da66efca40bc21d417efc42a225877d94e31428
2019-11-06IVGCVSW-3837 Add support for per-axis quantization to reference ↵Aron Virginas-Tar
Convolution2d workload Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I0ac08ba4864d48e6f64c4ac645dad8ea850be112
2019-11-06IVGCVSW-4038 Convert Strided_Slice Shrink_Axis_Mask Parameter to ACL formatFrancis Murtagh
* Add conversion method to reverse bits in Shrink_Axis_Mask * Add Unit tests for Neon, CL and Reference backends * Fix supportedness of constant layer which is causing error in DeepSpeech Uint8 * Also convert the Begin_Mask and End_Mask Change-Id: I448b083c3463558e8fb5204923ab554cd43264ba Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
2019-11-05IVGCVSW-3836 Add support for Int32 per-axis scalesAron Virginas-Tar
* Added ScaledInt32PerAxisDecoder implementation * Added new case for Signed32 in MakeDecoder that returns a ScaledInt32PerAxisDecoder if the tensor info has multiple quantization scales Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I8b3c11091644da993044d2a0fe2aba6b06b5af56
2019-11-05IVGCVSW-3843 Add support of per-axis quantization to BuildArmComputeTensorInfoAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I0bb0e9da306eee3e19dc9967a6c8bb01da998deb
2019-11-04IVGCVSW-3835 Create Encoder and Decoder for QSymm8PerAxisKeith Davis
* Add QuantizedSymm8PerAxis to armnn DataType (types.hpp) and * Add Quantize and Dequantize template for int8 in TypeUtils to be able to compute QSymm8 of the weight * Create PerAxisIterator for per-axis quantization * Create QSymm8PerAxisDecoder * Create QSymm8PerAxisEncoder Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Ibcfe0288a197b7ee50b543bdbd77b7edb8a547c2
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
2019-11-01IVGCVSW-3698 Add EndToEnd Layer test for ArgMinMaxNarumol Prangnawarat
* Add EndToEnd test implementation for ArgMinMax * Add EndToEnd tests for Ref * Fix output data type of ArgMinMax in WorkloadFactory Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I6d07d25bb96ab21422584284046222257ddee43c
2019-11-01Increase tolerance for bias scale quantization calculation for ResNet50v2ricbur01
Signed-off-by: Richard Burton <richard.burton@arm.com> Change-Id: I033ef445fa8e5ae825cfde29927b88e97e20f093
2019-10-31GitHub #292 Move BackendRegistry.hpp to the public APIMatteo Martincigh
* Moved to BackendRegistry.hpp include/armnn * Updated makefiles and sources accordingly Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com> Change-Id: I4d83abb581d523218a880c879fcf30c9611f7fd7
2019-10-31IVGCVSW-3842 Add per-axis quantization support to ↵Aron Virginas-Tar
ValidateBiasTensorQuantization() * Altered the function to validate all the scale values in the bias tensor info when per-axis quantization is enabled * Added unit test to check if ValidateBiasTensorQuantization() works as intended Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I676d17690cda6bbdd41da5fdbaa50a3d3b5fd102
2019-10-31IVGCVSW-4039 AndroidQ (HAL 1.2) driver support for Fp16Sadik Armagan
* Call ACL Validate function for validating Floor operator on CL backend Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I2206ec86de6eabd18c12d023116d1f4c24487e0d
2019-10-29Refactor Resize layer testsAron Virginas-Tar
* Move implementations to newly created source file ResizeTestImpl.cpp, leave only the declarations in the header * Reduce code duplication by extracting common code into a generic implementation template Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Ib8aa395e5fb4470b26cbe943c177f6b64c860a93
2019-10-25IVGCVSW-4018 Move QuantizeHelper.hpp to armnnUtilsAron Virginas-Tar
* Moved QuntizeHelper.hpp to armnnUtils * Reordered parameters for QuantizedVector and added default values for qScale and qOffset to make life easier when using the function for non-quantized types such as Float16 Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I28c263dfa425f1316feccb4116839a84f5d568e5
2019-10-25IVGCVSW-3962 Return 0 for Neon GetExportFlags()James Conroy
* Fixes issue where MemImport workload was being inserted into a graph when changing from a NEON to Ref workload. A MemCopy will now be performed instead. * Improves existing ImportAlignedPointerTest by adding check for expected output. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I606dbbe0166731c62fbe4cc1966c558ade66d6bb
2019-10-23Fix build failures on RPi 4BJammy Zhou
Signed-off-by: Jammy Zhou <jammy.zhou@gmail.com> Change-Id: I12562c4a9671cd43884e7c0c023ca463a99c3aa2
2019-10-22IVGCVSW-4009 Enable IsLayerSupported tests againDerek Lamberti
Change-Id: Ie4e32246783c5e6df6421eef77bbc0ac86381259 Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-10-21IVGCVSW-3999 Add unit tests for new comparison operationsAron Virginas-Tar
* Refactored existing tests for Equal and Greater and moved them to ComparisonTestImpl.cpp * Removed EqualTestImpl.cpp and GreaterTestImpl.cpp * Added new unit tests for GreaterOrEqual, Less, LessOrEqual and NotEqual Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I25013200beb1acb88e83b813c5382cb277c74cd7
2019-10-21IVGCVSW-4009 Get string name for StandInLayer typeDerek Lamberti
Change-Id: I6808937bd35a2419814d04016b780efa6bb8724c Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-10-21IVGCVSW-4009 StandInLayer frontend APIDerek Lamberti
Change-Id: I058c57b554769799c6775813215070ef47790e3d Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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
2019-10-16IVGCVSW-3895 Add EndToEndLayerTest for the Reference Implementation of ↵Sadik Armagan
LOG_SOFTMAX Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I500f0b819be543dc5829990d363e5d911197c9ec
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