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This reverts commit 52e90bf59ecbe90d33368d8fc1fd120f07658aaf.
Change-Id: I5a0d244593d8e760ee7ba0c9d38c02377e1bdc24
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Iebbbaff38cc9c347b25eb2f9054c914a4f931c68
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!android-nn-driver:9329
* Added ElementwiseBinaryLayer that can represent all ElementwiseBinary
operations including Add, Div, Sub, Maximum, Mul and Minimum.
* Updated Delegate to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated Deserializer to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add
layer.
* Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated CL and Neon tests to use ElementwiseBinaryLayer.
* Updated CL and Neon Backend Specific Optimizations to accept
ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum
layers.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
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* Originated from a GitHub issue: https://github.com/ARM-software/armnn/issues/667
* Initially, Arm NN supports the pool 2D operation because there is no padding
on the pool2d. Neon failure occurs when padding is followed by average pool 2D
due to folding optimization.
* Here we prevent the folding optimization from happening for the above special case
and add it in as a backend specific optimization.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ia0fd90c3a6b4b9d29c81106f154617d2e893e26b
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dimensions
* Added allow-expanded-dims to TFLite parser and ArmNN delegate
* If true ArmNN will disregard dimensions with a size of 1 when
validating tensor shapes. Tensor sizes must still match.
* This allows us to support models where tensors have expanded
dimensions (i.e. extra dimensions with a size of 1).
* Fixed bug in Network where it assumed that only the first option
could be ShapeInferenceMethod.
* Fixed bug where m_ShapeInferenceMethod was lost when copying or
moving Graphs.
* Changed Delegate to pass "infer-output-shape", "allow-expanded-dims"
and other BackendOptions through to the Network during construction.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ibe7c5ae6597796fc9164cb07bd372bd7f8f8cacf
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* Update Front-end and Tools.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Ref.
* Fixed resulting Neon / CL tests
* Unified optimizers for conv2d ops
* Optimizer Fix - Fp32ToBf16
* Partial implementation for ACL backends to fix VTS failures
!android-nn-driver:7477
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I5fb18877f7ee32643e15a9818945356274bb401b
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* IVGCVSW-6940 ConstTensorsAsInput: DepthwiseConvolution2d - Complete Neon and Cl Bug Fix
* Bug fix to enable Cl and Neon Backend Compatibility ConstantTensorsAsInputs
* Updated Cl and Neon FullyConnected workloads to handle constant
weights and bias as inputs rather than reading from member variables.
* Prevent non const weights and biases passing CL and NEON validate
for Depthwise Convolution.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I0f505ff5998a183152f843d0f6cc74327ba920e7
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!android-nn-driver:7418
* Update Front-end and Tools.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Change NNDriver to new API.
* Updated Ref.
* Neon and Cl backend partially completed (Backend.cpp files).
* Added dynamic or constant input EndToEnd tests.
* Added ConstantTensorAsInputMemeberVariableRedirect Optimization.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ib18b6c10a093042e165e25237dc04a4c67ba82da
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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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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ib0bf99c81ae1b30079be194a82b207761cb56028
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m_Layers
* Added IInputSlot, IOutputSlot and IConnectableLayer to SubgraphView
* Deprecated old member functions
* Removed deprecated calls in ArmNN
* Added GetOwningIConnectableLayer function to IOutputSlot
* Updates ArmNN Core Major version for IOutputSlot ABI break
* Updated Minor version of TfliteParser, OnnxParser and Delegate
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I2a8611bfabf5ae09d3602fe6a4bef166e18117b9
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layers
* Deprecate the GetGraph() function in OptimizationViews & remove/fix
occurances where OptimizationViews.GetGraph() is called.
* OptimizationViews has member INetworkPtr.
* OptimizationViews has GetINetwork() method.
* Unit test added to OptimizationViewsTests.cpp.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ifc1e53f1c34d786502279631942f0472f401038e
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* Added implementation of ClBackendDefaultAllocator
* Added back in some pure virtual functions that were mistakenly removed from the CustomMemoryAllocatorSample
* Added a new Gralloc MemorySource for memory which originates from the gpu
* Added unittests
Signed-off-by: David Monahan <David.Monahan@arm.com>
Change-Id: Id2abb33d82697df36426f5709756c616af3e8ed7
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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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* Updates the runtime options with a CustomAllocatorMap which allows to define a CustomAllocator for specific backends
* Change IBackendInternal interface to use a shared pointer to a custom allocator
* Update ClBackend.hpp/cpp to use the CustomAllocator
* Adds an example application and unit test which uses a CustomAllocator for GpuAcc
* Refactor of the interface to use MemorySource instead of the user Mapping cl_mem directly
* Modify the BackendRegistry to also hold a registry of CustomAllocators
* BackendRegistry Deregister will also deregister any allocators associated with that backend id
* set_global_allocator within the BaseMemoryManager so that it always matches the currently used allocator
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I156d819686021865f4375e6cb7a5c5dec8fee9e8
Signed-off-by: David Monahan <david.monahan@arm.com>
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I05fc331a8e91bdcb6b8a2f32cfb555060fc5d797
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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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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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* CLWorkload was only supporting float
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic57a490f03a055c158edc19e831b153a44e25166
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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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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6504e922113aa9e397f53e570ebcf47e1f133945
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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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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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* Register TensorHandleFactories when create Workload Factory
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I6217c6f00d27b67e42b8043cbaf72d9db5789bfb
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* replace boost::polymorphic_pointer_downcast by PolymorphicPointerDowncast
* replaced/removed includes
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I0ef934a3804cf05e4c38dec6c4ec49c76111a302
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* Call CreateBackendProfilingContext on each backend from Runtime passing
an instance of the BackendProfiling interface.
* Modify the signature of CreateBackendProfilingContext to remove const
and return a shared_ptr to BackendProfilingContext
* Add concrete BackendProfiling class.
* Store BackendProfilingContexts in Profiling service.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I975eaa2093ae91fa623835f65f9e5b25eb65117a
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* Introduce two new backend profiling interfaces IBackendProfiling
and IBackendProfilingContext.
* Add a mechanism to pull a context from a backend through IBackendInternal
* Update CL, Neon and Ref backends to return an empty profiling backend.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I6e7438fcb126ad7a073a226862dc44836c9998b7
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* Create a public API for the common backend files
* Move OutputHandler to armnn internal
* Remove unused headers
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3e86d908b021e3561befa9d45158d87d2cbb18c0
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* Moved to BackendRegistry.hpp include/armnn
* Updated makefiles and sources accordingly
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
Change-Id: I4d83abb581d523218a880c879fcf30c9611f7fd7
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* Made the build of the reference backend depend on a new ARMCOMPUTEREF
macro
* Made the relevant targets dependent on the ref backend
* Moved Cl and Neon static registry initializers to separate files
* Wrapped some of the unit tests into proper ifdefs where necessary
Change-Id: I7f2c42699682630233a4c4b6aed2f005083de189
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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* Adds ClTensorHandleFactory
* Includes some refactoring of NeonTensorHandleFactory
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I9f0874b1945050267c5ece970e6d9b200ed8a865
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* Restored old SubGraph class definition as an alias of SubgraphView
for backward compatibility
* Restored SubGraphUniquePtr
* Restored CreateSubGraphConverter method (and the corresponding
ISubGraphConverterPtr type) as a deprecated method that's been
removed from the backend interface
* Chaged the defautl implementation of OptimizeSubgraphView to call
the deprecated OptimizeSubGraph
* Changed the default implementation of OptimizeSubgraphView in the
backends
Change-Id: If69903926bf5ff2aae52c9b64b4572b355662757
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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non-optimized SubgraphViews
* Removed pointless CreateSubgraphViewConverter method in the
IBackendInternal interface
Change-Id: Ie2d3c0e74fb3d53e67f76924ac6d05050a5e6e2e
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: Ie50aeccf053c20c3a01a75042bbc3acd824375af
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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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
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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
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Change-Id: I93223c8678165cbc3d39f461c36bb8610dc81c05
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Change-Id: I56da4780f8f5fcef7ff01d232d5d61bf299364bf
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Change-Id: Ieec34224b433e1d2f3bbe66632cd6016cac5498c
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* add IBackendContext interface
* add ClBackendContext implementation
Change-Id: I13e4d12b73d4c7775069587675276f7cee7d630b
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This reverts commit d4dfa684941a21314b70593d01b0fc2167eebad4.
Change-Id: Id61ce69215505c3cf5d30ec2a7ec9127fb2554fc
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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Change-Id: Ice19d3f763298bc14585267df389e99df846320d
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in the network
Change-Id: Ide594db8c79ff67642721d8bad47624b88621fbd
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* because their lifetime is different from backends
Change-Id: I9ba525e7e503b148cde1294933f3954b8bad3d68
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