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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I74a93b1e2e5c9f12ce4523df3f21e5c0967fddfb
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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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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I8d65673580924907db51d903d9054d1b0914493c
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* The test cases that use DebugTestImpl were creating temporary files
but not cleaning them up after running.
* Refactored FileSystem to extract a common RemoveDirectoryAndContents
function.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I35b8d2eeed286742358a9abccbc078493d033902
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* Updated headers that were missing a copyright notice.
* Reverted years that were incorrectly updated.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I65842f1e9b9fd5654563edd5090133cb3c89fecc
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The -F execute network option creates a directory to print intermediate
tensors but minor problems caused serious failures. This attempts
to clean up the error handling.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Ia44c008919b1bee299b43a672235b1fcc25bf1bd
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* Added ElementwiseUnary support with a mapping for Rsqrt
* Added unittests
* Added Rsqrt EndtoEnd tests for all backends
* Changed TosaRefLayerSupport to default to false on unsupported layers
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I3eaa9c684647ead61520a563815581aa68bee51b
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* Call Reshape EndToEnd test from 3 backends
* Tidy up some naming of tests.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5546af35e89d352d3f1529368518aecc0a4a534b
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* API to remove need for workaround so backend users can get slots
* OutputSlots outside the SubgraphView needed to obtain TensorInfo
* Fix a few Copyright headers
* Add shared_ptr back to original subgraph view using
std::enable_shared_from_this
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I033a00d6fc4020619d406ac06a156b7e380a426a
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OptimizationViews::GetINetwork()
* Also provide API to return reference via GetINetworkRef().
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I80f4912cb7e22a2023e9bb880182ad4610c219e9
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* Build ExecNet lib dependencies as object libs except libarmnn
* Disable PIPE when building static ExecNet
* Remove multiple definition from AsyncExecutionCallback
* Disable DynamicBackend for ExecNet Static build
* Disable inference tests for TfLiteParser and ONNX during static ExecNet
* Remove Tensorflow Parser if condition
* Add Disable thread macro to InferenceModel
* Don't compile dynamic backend symbols in Runtime.cpp for Baremetal and
Exenet Static
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: If41c063eab5f05b3df0a6e064924a36a177f116a
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* This fixes the build failure happening in nightly job running
Arm NN and EthosN main branches
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I2b1f861fdfef2b6025dfdcc0725b00c82fac13a8
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TOSA Reference Backend
* Removed AdditionOperator and moved to new ElementwiseBinaryOperator.
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I8ce20f7575d68334aadcd176827bca3db53d0052
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* Change comment for the unique tensor names in all tosa common operators
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I247b4b2365d5f0173218c5dfd11fba12d2399959
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* alphabetical order,
* specify floats
* fix order of parameters in convolution operator
* fix uninitiated variable in ConvertConstantTensorDataToBuffer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic82e6127cac6b94da4c859a284893b838ab248bc
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Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I9bfd597afd41468f304edfbe5d7141378ce60d4f
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Test was checking a freshly constructed BackendRegistry, rather
than the single instance.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I7c64cf089cb406ac4e5ceefedb17163f39801b07
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Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I8be286b69bebd4cd36033e3145632bb043938d16
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* Spelling corrections and code refactors added to TosaCommon
* TosaDTypeToString() implemented and used in TosaRef IsLayerSupported()
instead of enum integer.
* Using namespace armnn in TosaCommon OneToOneMappingTests and
TosaReference TosaRefLayerSupportTests instead of armnn::ClassName.
* Updated VerifyTosaAttribute() to also verify certain attributes
from input and output shapes.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I71dfca404d081a665f748ab724153c6dc36b7eca
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* Removed weights and bias from Convolution, DepthwiseConv & FullyConnected
layers
* Removed the weight and bias ConstTensorHandles from the QueueDescriptors
* Updated Workloads to take tensors from WorkloadInfo rather than the
QueueDescriptors
* Removed unused RedirectMembersToConstantInputs optimization and tests.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I9ffcdc4a1c0dff725539dd69fc435b700bd98a56
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This tool forces explicit includes of all dependencies and
highlights unused dependencies.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I92e449245246452a0227cbd13f9c082e2088bf8c
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* Added TOSA Conv2d and Constant mappings.
* Added unique naming to mappings based on previous and following
layers, so they are connected correctly.
* Updated existing mappings with new naming convention.
* Added all mappings to one main block in OptimizeSubgraphView.
* Removed isMain from mapping functions.
* Added Conv2d EndToEnd test.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I27c3e238407c32379ce25a1f01dad11523ef5d2b
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* Some pemutation vectors were not converted correctly.
* Add Transpose end to end test.
* Comments added with an example to clarify the differences betweeen
Transpose and Permute
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6c0954ca6ce00ef5f2a6f3625abe6f4fd27b5cdf
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different to 0
!android-nn-driver:8727
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I4336007ad5a8552f7893ce6253f93cf9d1f5474f
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- Remove Bf16ToFp32 Conversion Layer
- Remove Fp32ToBf16 Conversion Layer
- Remove B16 Conversion tests
* Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true
* Provide comments to enable fast math in order to use bf16
* Update docs to inform users to enable fast math for bf16
Execute Network Changes
* Require bf16_turbo_mode to also have fast_math_enabled set to true
- Remove setting m_ReduceFp32ToBf16 optimizer option
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
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Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I73a47e513fe2d064ef233b121a68ef2edf0396dc
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* Added all data types to TosaRefPreCompiledWorkload::Execute().
* Generalised IsTosaLayerSupported and fixed Addition support.
* Added Fp16 and Int32 Addition End to End tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I1f89c310ede33615427343e89bcec7e7bb643fa1
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* Create Simple Addition EndtoEnd test
* Create EndToEndTest file in TosaRef/test directory
* Add AdditionEndToEnd test to CpuRef,CpuAcc,GpuAcc,TosaRef
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ic44e2b457c25dcb41bb3b17c05cce0e74bf17a80
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6a541db9a602609282cc6f33af930ca141b83c41
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I2def6995f81d33e68f1ea45d8d19a1e6294049b1
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* Bug fix where files were being overwritten at each debug layer
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I609fdc82afcee925824efb02183c7dbc942fced0
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* Add functionality to print output tensors to file in tempdir
* UnitTests
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Idfb4c186544187db1fecdfca11c662540f645439
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* Add a breakdown of the runtime options to the documentation.
* Exclude test classes from Doxygen generation.
* Limit the file extension selection for Doxygen generation.
* Add the support library to be generated.
* Fix some broken markups.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I81896f2d7fff503a1d51d6d4ac3876aa8b84118e
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* Added files based on RefBackend
* Added PreCompiled Workload skeleton
* Increment ABI version of armnnTestUtils for CreateInput which had
been left as pure virtual, added base implementation for it.
* Add IsTosaLayerSupported() for Addition
Change-Id: I4c963adf3f50593d17ecdf21554502a64ad3bd76
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* Files deleted when Stabilizing the API
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0ae73ee36968fa880761c10358bfa827be5fe054
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* AddConv and AddDWConv with weights and bias
* ResizeBilinearDescriptor
* b,blacklist option in accuracy tool
!android-nn-driver:8172
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ibbc04fd18be7f938b11590bf67cd7af103cb4d99
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* Added transpose parameters to pre-transpose each input tensor's slices
* Added adjoint parameters to pre-adjoint each input tensor's slices
* Small refactoring (BatchMatMulDescriptor static helpers and BatchMatMulImpl constructor)
* Updated input validation and output shape inference for parameters
* Additional layer unit tests for parameters added
* Versionings incremented
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667
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Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Change-Id: I3a3aab7b5042349cb2df8517678306665e037610
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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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* Descriptors added for BatchMatMul
* Layer definition added
* Input validation added (will likely change when opt. param support comes in)
* Ref workload implementation for BatchMatMul added (will also change with opt. param support)
* Ref layer tests made for BatchMatMul
* CMake and other build files updated
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ic885301da543ee0fbe7922b85e7f9658c4efc617
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* Refactor backend capability checks in LoadedNetwork.
* ImportInputs should check the number of tensors does not exceed the
number of inputs.
* In EnqueueWorkload the check for for the count of input tensors
was ignoring pre-imported inputs.
* Added checks to verify ImportInputs/ImportOutputs worked as expected
in EndToEndTestImpl.
* Improve documentation on ImportInputs/ImportOutputs in IRuntime.hpp.
* Disabled import tests in CL and Neon EndToEndTests that cannot work.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Iae4b2644a1c9f01ee72bce1afb211661cc9ae2e3
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* ExecutionData holds a void* which can be assigned to data required
for execution in a backend. WorkingMemDescriptors are used in the Ref
backend which hold TensorHandles for inputs and outputs.
* Updated ExecuteAsync functions to take ExecutionData.
* Added CreateExecutionData and UpdateExectutionData to IBackendInternal.
* Streamlined experimental IWorkingMemHandle API by removing map related
function and unused m_workingMemDescriptorMap from WorkingMemHandle.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I54b0aab12872011743a141eb42dae200227769af
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This reverts commit a0f8b15d4ddb5075f380003ff31b271d389d3b66.
Reason for revert: <Test ClDmaBufInternalTests review >
Change-Id: Ibc4a77fa008643849da7330391942e4c87b941e2
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This reverts commit 03bf98a8bc51ad20eef4b9ca5fbf6ce15e063721.
Reason for revert: Caused failures in tests located in internal repo.
Change-Id: If35cb0ede349b270e4e7827324382e09455d8cfa
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Only one bool is used to indicate whether inputs should be imported.
However, its possible for the user to want to import inputs but not
export outputs. In addition it's possible for a user to enabled import
during optimize but then pass a memory source that does not require
import.
* Add m_ExportEnabled to INetwork.hpp.
* Modify Network::dNetwork to consider both m_ImportEnabled
and m_ExportEnabled.
* Add ValidateSourcesMatchOptimizedNetwork to LoadedNetwork to validate
import options between optimize and network load.
* Update the TfLite delegate consider exportEnabled flag in the
optimizer.
!armnn-internal-tests:425350
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I776eab81595898e43f91ab40306962eae61329f4
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* Use new INetwork::AddConvolution2dLayer
instead of deprecated version
* Remove duplicated test in SerlializerTests
* Fix some cosmetics
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I3407815bfdc1cdc01ca0a667b8e4d80d8621783f
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* Add functionality to check for ConstantTensorsAsInputs to GetConstantTensorsByRef
* Reorder optimizations so RedirectMembersToConstantInputs occurs after
Conversion of Constants
* Ensure graph is in topological order after loading in OptimizedNet
* Fixed test to check release of m_LayerOutputs.
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I7cff50798d7217e8ea0d2f9b153eabd10174a566
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* Support Float16 as input to Dequantize layer
* Add Optimization to substitute Const+Dequantize layers with Const layer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I58bb7e3871ca480c7b6fca93c4efb2de84e09e64
Signed-off-by: David <david.monahan@arm.com>
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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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