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Change-Id: Id993a300847bde012dd38ef7f44fcd3c14867349
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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* Neon and CL workloads which inherit from TypedWorkload instead of the BaseWorklod for their backend do not contain the correct ReplaceInputTensorHandle/ReplaceOutputTensorHandle and Reconfigure functions. So they have been added directly.
* Removed the Profiling call from ClConvolution2dWorkload::Reconfigure() to avoid a segfault
Signed-off-by: David Monahan <David.Monahan@arm.com>
Change-Id: I7b9d1b48fdb17db1662dc03c22acc746340ce73f
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Use armnn::Optional for optional bias TensorInfos, similar to how
it's already done in Convolution etc.
Fixes some test failures found using -fsanitize=undefined
Change-Id: I7b887e63e2ffab14aeab14415069be738d938ebb
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
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* Add AllocatedData functions to OutputHandler
* Enable import aligned memory in ImportInputs
* Enable import aligned memory in ImportOutputs
* Allow to import input and output if the memory is aligned
* Implement Reconfigure function on ClConvolution2dWorkload
* End-to-end test on Ref and Cl to ensure that input and output memory
are imported when aligned
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I9e5e4c26d1ac2f1d806803ade5f64c6479c51718
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* Neon workloads to extend NeonBaseWorkload instead of BaseWorkload
* Cl workload to extend ClBaseWorkload instead of BaseWorkload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I8f39a31a89a8865ac4acf18573ab290d548d2864
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* Neon/Cl Activation workloads inherit from Cl/Neon BaseWorkload
* Unit Test for ReplaceTensorHandle functions
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I985e34b93a96405735402a6d3b947957afbe2857
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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
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* Add UnitTest for GpuAcc
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I235900dc62fb043c5ce9c8cd4f63dcc4e5393233
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ifbb9332c78c843c5b937c4e1b50a8f5a75409e73
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I7626d5bd82e832d5be6913719a34d76fbd1dbed8
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* 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
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I8b73dccc14ef71cc083896102e24afb2e56e72e2
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* 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
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* 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
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic37fc49a97a5ca570a23bc415d15ee3841534336
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I0334a772c1453a1d568f27cddea9d0effff8a0a0
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I92dd410da7ad633a46d025fdc2b26093041c439b
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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 failure is caused by a patch from ACL side https://review.mlplatform.org/c/ml/ComputeLibrary/+/5769
* Update acl pin to 08302c17cd57356b35d46e17dc8d8f76672da5cf
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ic282efe87dc417c83034a5c9b94bc77717abc003
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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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IS_MULTI_AXES_REDUCE_SUPPORTED
* The wrong validate function was being called in ClReduceWorkload.cpp.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I534f5fffa5d77ae5bd804ae8326f5d78de37275b
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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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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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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I1bbf1f2edf7282cb69b99e22de1b8a2fe6e443c2
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* CLWorkload was only supporting float
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic57a490f03a055c158edc19e831b153a44e25166
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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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* 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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* Injected CLCompileContext object to each CL workload.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I4837dbd3d5b56cf743b3b89c944e3cdf8b11a42a
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* Add CL Logical workloads for NOT,
AND and OR.
* Enable Layer and IsSupported tests on CL.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I8b7227b2487fdbbb55a4baf6e61f290313947de1
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* Correct datatype of QAsymmS8
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Id4987b91e06d87735254d3cdd5c9adbe11cc8870
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* Resolved the review items in the main review.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I5da34b74ac204569ea2d210fb5a069beb7d0835b
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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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* 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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*Cosmetic changes on ClQLstmWorkload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I61f55343263e623aaae042d8dfe8c294540e98f1
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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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* Replaced with armnn/utility/NumericCast.hpp
* Some exclusions in reference backend
* Excluded as requires float implementation in NumericCast.hpp
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I9e4e9cd502c865452128fa04415fd6f250baa855
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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
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* Introduced ModelOptions to IBackendInternal
* Introduced ModelOptions to Network
* Added FastMathEnabled parameter to Conv2d Validate function in CL and NEON
* Added Optimizer tests
Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ib54c1e82cb3d89a52756ed499cf91b6a7fdb2063
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* Axis for LogSoftMax and SoftMax can be either positive or negative
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I36b0507ad7600c0a98c3b8be3c0350045ee05b84
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id72d2c2851adcc1dd8f00a6103642b16ebe3a964
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7c27c371c00aeb1eba61b7a0137232cca175c8dd
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6c5704c6c7bcf1dd008061c037c81a712365aa74
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IVGCVSW-5136 Adapt to change in ConcatenateLayer in ACL
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5bc1752215a7b5a91c449e62809ae06f501c6108
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* Update CL pin to f3ad9513dd46fca1d6c5e4550286480fdbaba056
IVGCVSW-5005: Fix Deprecated Functions in CL/NEON Resize Workload
* Add missing virtual function to NeonIntercepterScheduler
* Update CL/Neon Resize Workloads to use ScaleKernelInfo
* Update CL/Neon Resize workloads to set correct Sampling Policy for Half Pixels
IVGCVSW-4981: Change CL/NEON Softmax axis value
* Default value is now 0
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I8a14c6a64e5a24bc1a66a7d3685cd388c2245702
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!android-nn-driver:3302
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ifbc49acb5272f8a36719bb68676e44817190537d
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