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2021-05-08IVGCVSW-5818 Enable import on GPUNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I4e4eb107aa2bfa09625840d738001f33152e6792
2021-05-07Revert "MLCE-418 Reduce layer does not support multiple axes"Matthew Sloyan
This reverts commit d905decd256558bbee165e636ce4242ac3b9c917. Reason for revert: LargeGraph_TENSOR_FLOAT32/FLOAT16 CTS tests failures Change-Id: Ie69826549e73775825f45134375b5b2c41aebd01
2021-05-06MLCE-418 Reduce layer does not support multiple axesMatthew Sloyan
* Added backend specific optimization to chain new reduces layers for each axis to simulate behaviour of a layer with multiple axes. * Added function to calculate reduced output shape. * Added unit tests. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I180b0b111b7bcf3d0c283f1db0b82d5f17757682
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-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
2021-04-27IVGCVSW-5719 Remove QuantizerKevin May
Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I8a29df03afdd6f1cc8413b219e179272cd2d51cf
2021-04-21Fold PAD into Pooling2d if possibleDiego Lopez Recas
Some models would add a PAD layer before a pooling when they can't express their padding configuration as SAME or VALID. ArmNN can potentially merge the two merge the two because pooling layers are described with explicit padding. The merge is possible if the extra padding is neutral in the combined pooling operation. A merged operation can only fuse paddings in the dimensions that accept explicit padding in a pooling operation, i.e. the spatial dimensions. Signed-off-by: Diego Lopez Recas <diego.lopez.recas@gmail.com> Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: Icd54718dcd9e797c923456b7fa6e0213e288e668
2021-04-21IVGCVSW-5842 Remove cross-wiring in depthwiseJan Eilers
* Reading tensor infos won't allow a permutation vector anymore. The permutation only changed the quantization dimension not the shape and was therefore misleading * The permutation of the full tensor info is now performed in armnnUtils::Permuted * Changed TfLite Parser depthwise parsing function * Added unit tests to TfLite Parser with more random data * Changed TfLite Delegate depthwise parsing function * Added unit test to the delegate with per channel quantization !android-nn-driver:5412 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: I1f985ee69547bcaf16a72201e00a6b6fe1ef9a97
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
2021-04-02IVGCVSW-5783 'Add AsyncExecution Capability'Sadik Armagan
* Added AsyncExecution to the BackendCapability enum class. * Logged a warning if backends do not support AsyncExecution capability if AsyncNetwork is created. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I49f8467297f4b6b8e414cb6a3638a7d3f1bb886a
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
2021-03-23Revert "Fold PAD into Pooling2d"Jim Flynn
This reverts commit 51ce7d487c761358de105f82ff90553570aedac0. Reason for revert: https://jira.arm.com/browse/IVGCVSW-5798 LargeGraph_TENSOR_FLOAT32 CTS tests failures Change-Id: Ib031a47f605340b2202ecf074ce96a8b54c51075
2021-03-22Fold PAD into Pooling2dDiego Lopez Recas
Some models would add a PAD layer before a pooling when they can't express their padding configuration as SAME or VALID. Arm NN can merge the two because pooling layers are described with explicit padding. Signed-off-by: Diego Lopez Recas <diego.lopez.recas@gmail.com> Change-Id: Id048186db6a005e0257bfbc1406c3b0dab2cdd58
2021-03-16IVGCVSW-5754 Change the behaviour of the AddBroadcastReshapeLayer ↵Finn Williams
Optimisation when the input is a const tensor Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I8b1357bdefc45880d064d7e448af364ac8644c0d
2021-03-03IVGCVSW-5612 Fix tiny_wav2letter_relu_fixed_int8 delegate outputexperimental/abi-testsFinn Williams
* fix delegate perchannel quantization * change delegate to check reshape options before inputs * Add int8 "qsymms8" option to ExecuteNetwork * Add option to run ExecuteNetwork on tflite w/o delegate !referencetests:301301 Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: If3e12599b17aff1199d7ab0a55e1c901e480083d
2021-02-17IVGCVSW-5734 Building armnn failed in our Backends CI jobFrancis Murtagh
* CreateTestNetwork() and CreateTransposeTestNetwork should only be defined if Ref enabled; the same as the test its called in otherwise it's defined but not called. Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I7bc522a7884d216d1a8e51afd7cec7a66e4e2947
2021-02-15IVGCVSW-4873 Implement Pimpl Idiom for INetwork and IOptimizedNetworkFrancis Murtagh
!android-nn-driver:5042 Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: Ia1ce8b839e81b46428ba0f78463e085e5906958d Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Signed-off-by: Finn Williams <Finn.Williams@arm.com>
2021-02-15IVGCVSW-5675 Implement Pimpl Idiom for IProfiler (lower priority)Francis Murtagh
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: If716f5f4e9b5433586b8a939d326830482da2f74
2021-02-12IVGCVSW-4893 Refactor ILayerVisitor using unified interface strategy.Finn Williams
Signed-off-by: Jan Eilers <jan.eilers@arm.com> Signed-off-by: Finn Williams <Finn.Williams@arm.com> Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Id7bc8255a8e3f9e5aac65d510bec8a559bf37246
2021-02-08IVGCVSW-4873 Implement Pimpl Idiom for IRuntimeKevin May
Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I52448938735b2aa678c47e0f3061c87fa0c693b1
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>
2021-01-28IVGCVSW-4874 Provide LayerSupportHandle to frontend usersFrancis Murtagh
* Add test for new IsBackendRegistered member function of Handle * Move deprecated messages to new frontend API of LayerSupportHandle * Update delegate to use dot operator for IsXXXLayerSupported Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I70d7166e207a10e4b3583a827ca0dda2169bcba1 !android-nn-driver:4940
2021-01-14MLCE-325 ArmnnQuantizer incorrectly Quantizes all DataTypesMike Kelly
* ArmnnQuantizer incorrectly converts boolean or integer DataTypes to quantized DataTypes. This breaks layers like ArgMinMax where the output contains the index of an element along an axis. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I272c3d0f48bf884a2480bfa43eb14ec265fcda6b
2021-01-05adding BOOST_TEST to EnqueueWorkload in FuseActivation Unit TestTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I6a00045967fa48ec0913c8708ffc146a72ed2b87
2020-12-17IVGCVSW-5532 Adding UnitTest fusing activationTeresa Charlin
* QASymmS8 and BoundedReLU * Float16 and ReLU in GpuAcc * Remove layerName, not needed as 1 test per combination Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I930c7a04d8d904f370f1b40c62cf9311c172bbdf
2020-12-11Sort subgraphview layers on constructionDerek Lamberti
Make it easier for backends to traverse the subgraph during optimization Change-Id: I140cb11f78bab5f19c801a5b55efffb38c63837f Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2020-11-30IVGCVSW-5568 Revert "IVGCVSW-5563 Fix Crash on model with FullyConnected ↵Teresa Charlin
Sigmoid Activation" * This reverts commit be25d94aefe53f221304b1f5f344913b708f808b. * Add Unit Test: any receiver layer + any activation layer in float and QAsymmU8 * Tidy up fuse activation tests Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ie059d03b85cd17eaaafe5188bb173672a1fb9ae0
2020-11-13IVGCVSW-5328-5329 Fuse ActivationMike Kelly
* Added Fused Activation Optimization to both CL and Neon backends. * Added Fused Activation support to all the CL and Neon workloads that support it. * Changed ProfilingTest network to be a Convolution layer followed by an Abs layer rather than an Activation layer. * Added IBackendInternal::OptimizeSubgraphView function that can accept a ModelOptions. * Network will now call OptimizeSubgraphView passing in the ModelOptions. Signed-off-by: Keith Davis <keith.davis@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
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
2020-11-09IVGCVSW-5327 Add to Layer a binary blob to host the activation layer infoKeith Davis
Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I0a07dea96a86849701ba387dbea148909a6d729b
2020-11-08IVGCVSW-5315 Create FuseBatchNorm classMike Kelly
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Id0625c58dbeea79874bf986b70d136ed9390bf83
2020-11-02IVGCVSW-5476 Fix Fuse_batchNorm_into_Conv2D_Float32_TestTeresa Charlin
* failing with no backends provided Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I55ebfc52268ad667e495831c64977338d003db99
2020-10-29IVGCVSW-5468 Rewrite QuantizationDataSet.cpp to avoid use of CsvReaderJames Ward
* Remove armnnUtils/CsvReader and usage * Remove armnn/CsvReaderTest and usage * Replace functionality in QuantizationDataSet.cpp Signed-off-by: James Ward <james.ward@arm.com> Change-Id: I7213904482afa93ae6d607aa5e69117c8c34ea81
2020-10-29IVGCVSW-5314 Create OptimizeForExclusiveConnectionTeresa Charlin
* FuseBatchNorm class has been added to facilitate testing * Only Convolution2D FP32 being fused Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I049c4770946ddca21b08516d4c9f4d0d22bf9b45
2020-10-16IVGCVSW-5435 Add FloatingPointComparison to remove boost::math::fpc usesMatthew Sloyan
* Added FloatingPointComparison.hpp and FloatingPointComparisonTest.cpp, which compares two floats and returns true if the values are within a specified or default tolerance of each other. * Also removed boost::math::fpc from test/TensorHelpers.hpp to validate. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I164c32eccd213c53bb1bc4f9cd4ee4838f1781c9
2020-10-06IVGCVSW-5407 Failing UnittestMike Kelly
* The number of error and warning messages will vary depending on the device but will always be greater than 0. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Iee1d12e60d8c88c9116083d7274cea2ec23cb032
2020-10-02IVGCVSW-5306 Add floating point type checks to NumericCast.hppMatthew Sloyan
* Added Unit Tests to capture all combinations. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I04db920a5f5f485dc00b2f16582cf7e0bbef3ef2
2020-09-30IVGCVSW-4519 Remove Boost Variant and apply_visitor variantJames Ward
* replace boost::variant with mapbox::util::variant * replace boost::apply_visitor with mapbox::util::apply_visitor * replace boost::get with mapbox::util::get Signed-off-by: James Ward <james.ward@arm.com> Change-Id: I38460cabbcd5e56d4d61151bfe3dcb5681ce696e
2020-09-30Refactored Optimize(...) function to throw exceptions instead of returning nullMike Kelly
* INetwork::Optimize(...) states that the function should throw an exception if it fails but the implementation in Network.cpp returned null in some scenarios instead. This has led to some confusion amongst users. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I358d1293232c9464772aa0e39ab3355e3570c823
2020-09-22IVGCVSW-5318 'Create a Neon/CL Workload Unit Test fast_math option enabled'Sadik Armagan
* Unit test implemented to make sure it returns WINOGRAD * Updated the enable-fast-math option in ExecuteNetwork to be consistent Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Id64f114ae47966def69a9eef0770a4251ee56a41
2020-09-17IVGCVSW-5303 Remove some boost::numeric_cast from rest of ArmNNMatthew Sloyan
* Replaced with armnn/utility/NumericCast.hpp * Exclusions in TypeUtils.cpp and QuantizerVisitor.cpp * Excluded as requires float implementation in NumericCast.hpp Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I5c4c60e7028e1a51bf9379457278d253fd37bc70
2020-09-15IVGCVSW-5305 AddBroadcastReshapeLayer as optimizerNarumol Prangnawarat
* Remove AddBroadcastReshapeLayer from TfLiteParser * Add AddBroadcastReshapeLayer as optimizer * AddBroadcastReshapeLayer optimizer unit tests * Load-scope dynamic tensor broadcasting unit tests Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I3549e85b71b41cbd4d96c0f1ece7887acbca76d1
2020-09-14IVGCVSW-5157 'Pipe ModelOption through Network::LoadNetwork() to Workload ↵Sadik Armagan
factory' * Pass ModelOptions to WorkloadFactory * Updated signature of CL and NEON Convolution2d workloads added FastMathEnabled param. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I536178be8e4dd4083489e69febadaf0feeba46d2
2020-09-11IVGCVSW-5245 Add Quantization operator=() functionKevin May
* Add unit tests to check if Quantization info copied correctly Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I7bb7bde5d97e82c57252c6d5131fbe21ad3096d2
2020-08-31IVGCVSW-5231 Remove CreateTensorHandle in the test where there is ↵Keith Davis
NO_DEPRECATE_WARN * Done for all elementwise layers, Activation, BatchNorm, BatchToSpace Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Id1d15a0960233026aecf7a07e0d3f006e07e4abf
2020-08-28IVGCVSW-4979 'Remove CreateTensorHandle using WorkloadFactory in workload tests'Sadik Armagan
* Small refactor in unit tests using TensorHandleFactory to use reference instead of pointer Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I1a702941890034a45029c014c8b11e185f45a807
2020-08-27IVGCVSW-5257 'Remove CreateTensorHandle in the test for layers beginning with S'Sadik Armagan
* Re-factored SoftmaxTestImpl to use TensorHandleFactory to create TensorHandles Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I83559a89187bbed0d6f34ca589ea81c694bf5683
2020-08-26IVGCVSW-5250 Remove CreateTensorHandle in the test for layers between E-FFinn Williams
* Added new test function to pass in the ITensorHandleFactory Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I9b2e9250200e092541e29796ec53cabd0b677acf
2020-08-20Bugfix: Allow permutation of QuantizationDimFrancis Murtagh
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Ib98ec471e6fdd47600b7c62d0b4d19dd36e20cbd
2020-08-19IVGCVSW-5012 Add importEnabled option for OptimizerOptionsNarumol Prangnawarat
* Default importEnabled to false * Improve error messages Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I17f78986aa1d23e48b0844297a52029b1a9bbe3e