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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I7be77712a9f790928219ce91222d46cc766ab9dd
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* Add GUID as field to layer details and profiling events
* Add Optional GUID param to existing tests
* Improve Details macro to be inline function
* Fix some formatting
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I66f192a90a7642b3ee8e7dda0d3f428cce002581
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* Add new ProfilingDetails class to construct operator details string
* Add new macro which helps append layer details to ostream
* Add ProfilingEnabled to NetworkProperties so that profiling can be
realised when loading the network
* Add further optional info to WorkloadInfo specific to convolutions
* Generalise some JsonPrinter functions into JsonUtils for reusability
* Remove explicit enabling of profiling within InferenceModel as it is
done when loading network
* Add ProfilingDetails macros to ConvolutionWorkloads for validation
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Ie84bc7dc667e72e6bcb635544f9ead7af1765690
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* This change is caused by ACL patch: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5855
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I222ff6dea155be38899145a5d096093db1b5e716
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* Disabling until ACL fixes COMPMID-4586
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Icabfa20062561201b6d7f850443a7eb2fad64e7b
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* Ref workload
* Cl workload
* Neon workload
* Serializer
* Deserializer
* Remove boost include from TensorTest.cpp
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I498548169cc77609c55cf3105f1de5a7429772cf
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* 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
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* Used doctest in ArmNN unit tests
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ia9cf5fc72775878885c5f864abf2c56b3a935f1a
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I05fc331a8e91bdcb6b8a2f32cfb555060fc5d797
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* Replaced all instances of boost::multi_array with flat vectors.
* Updated LayerTestResult struct with new member variables.
* Updated CompareTensor function to compare flat vectors and the shape.
* Removed MakeTensor function from TensorHelpers.hpp.
* Removed GetTensorShapeAsArray function from LayerTestResult.hpp.
* Removed boost::array usage.
* Removed boost::extents usages.
* Removed boost::random usages.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iccde9d6640b534940292ff048fb80c00b38c4743
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* 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.
* Includes rework to fix IVGCVSW-5987.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I154b3698b5e6756b05b2a0b5a3f0896184efce72
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* Adding a basic PredicateResult class to replace
boost::test_tools::predicate_result
* Replacing all uses of boost::test_tools::predicate_result with
the new armnn::PredicateResult class
* Replacing use of boost::test_tools::output_test_stream output
with std::ostringstream in ProfilerTests.cpp
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I75cdbbff98d984e26e4a50c125386b2988516fad
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I4e4eb107aa2bfa09625840d738001f33152e6792
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This reverts commit d905decd256558bbee165e636ce4242ac3b9c917.
Reason for revert: LargeGraph_TENSOR_FLOAT32/FLOAT16 CTS tests failures
Change-Id: Ie69826549e73775825f45134375b5b2c41aebd01
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* 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
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* 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
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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>
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I481343af311cf3cbc81eee80e80d8b5581fdfd7b
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I2873f8563cc11da550d460b04e5175372489a564
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* 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
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* Adding ref backend "ifdef" around ref test cases in
NeonLayerTests_NDK_Bug.cpp
* Removing unnecessary includes from NeonLayerTests_NDK_Bug.cpp.
* Removing unnecessary include from NeonLayerTests.cpp
* Breaking up Backends_Capability_Test into one per backend to allow
for conditional compilation.
* Remove unnecessary printout in src/backends/neon/test/CMakeLists.txt
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I9a36cd197e684ed55af244e5c998ee67bb8da88c
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* Creating a new NeonLayerTests_NDK_Bug test class.
* Moving a subset of tests effected by an NDK bug from NeonLayerTests
into NeonLayerTests_NDK_Bug.
* Excluding NeonLayerTests_NDK_Bug from the build if it's an Android
debug build and NDK is less than r21.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Icb16d8bbb784fb0357deef281d7aa713e11af8ac
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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
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!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>
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* Added ability to set number of threads used in CpuAcc backend
* Enabled number-of-threads option in ExecuteNetwork
* Added TfLiteDelegate ModelOptions test
* Added unsigned int type to BackendOptions.hpp
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ia576d4f45cbe5df3654bc730bb5ebd5181d82b5a
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* Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators
* Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
* Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I52448938735b2aa678c47e0f3061c87fa0c693b1
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* Pass in new window parameter to the schedule_op function
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8579d2d6e55ab9888471bd780628df0f73438498
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* Add neon detection for linux using HWCAPs
* Add test to check for backend throwing BackendUnavailable exception
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Ib74aeb06abe5f88f21ecdd1edb2a1cd20ee2019d
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6504e922113aa9e397f53e570ebcf47e1f133945
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Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I33dc1127627b4b89c02a3bea246eaf7499e5a780
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* Added CL implementation of Rank Workload
* Removed references to memcpy_s as it's a windows only function
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: Ia63666b9640d76a775f2ab98b3cd7e9f77b5a507
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Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I5a85597e75d2b879ae234c6929686fabe99d7bc8
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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
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* In favour of ElementwiseUnary functions which
are the currently used code path.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I34964d2dcabd4b7ddf0b455df17c48e3c6812ee4
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* Add supported activations check to Neon FullyConected validate
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I67a36eb83d0568d000e928e27eba3c84e32cdc72
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* Add NEON Logical workloads for NOT,
AND and OR.
* Enable Layer and IsSupported tests on NEON.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: Ibca59530457a664ca3d77751825642f8daf52fab
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* Add Boolean support for Reshape
* Use LogicalUnary factory and data type for LogicalNot
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I8e072fde200b7716556ae67f79616458cf98ff20
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* GetOverriddenDataType was returning incorrect quantization data
* Optimized CpuAcc and GpuAcc SubGraphs fail validation on debug versions
of ArmNN
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ie97935cc2af67bd9aeebc94b63dafa458bd1aa8c
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* 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
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* Use NEConvolutionLayer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ieb81fafaf34a63be8daf297ebe1bb0e4079daf4e
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* Fallback to memory copy if memory import is not supported
* Remove direct compatibility between Neon and Cl Tensors
* Unit tests fallback from Neon to Cl and Cl to Neon
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Iec00a77423fb23b37a6b1aefee1b2ec4d649efca
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* Added Documentation for fast_math to CLBackendModelContext
* Added Documentation for fast_math to NeonBackendModelContext
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I43a0568ae6914e074a80130a051e5d9bb849f2ba
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* Replaced with fmt::format in Descriptors.cpp.
* Removed remaining boost/format headers in ArmNN codebase.
* Removed additional boost header in Network.cpp
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib98b83bf4ec99ef98ce7a3635ec0dd478c3e43e1
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I054f0b71d4e9581c637fa09e40f6b661e58e39f3
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* Set use_padding to false in neon workload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ia5367de331efe1d28dea4dfbefc0713720da81f9
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* Floating point casts now use armnn::numeric_cast.
* Also removed remaining header imports.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I2d37847d67f164fc0a0ae17f34d49ff3d2210c30
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* LargeGraph_TENSOR_INT32_Rank4/26
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I9d07444db56e26c13a77bf022938644ed7953d6b
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* 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
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* Change tensor to non const to fix build error caused by ACL fix for QLSTM
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I7ab0f644dfb3cb3cf21bda73028e9368f3354f4a
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