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elements.
* Added out of bounds index error checking to PermutationVector operator[] method
in Types.hpp.
* Added armnn unit tests to UnitsTests.cpp to check error when using
PermutationVector alone and with TransposeDescriptor and PermuteDescriptor.
* Added pyarmnn unit test to check error when using PermutationVector.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ie5a8090f07b571a6bdf79a8cad621c31cc1891b7
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Subtask of story: IVGCVSW-6164 Add a Pooling3d FrontEnd and Ref Implementation
* Add front end
* Add reference workload
* Add corresponding unit tests
Change-Id: Icce4146dd0a06a1da46a2def00a82d343e171750
Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
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!android-nn-driver:6532
!armnn-internal-tests:372451
* Made fix to 2 out of 3 ConstTensor() constructors in Tensor.hpp to
throw InvalidArgumentException when TensorInfo isConstant parameter
is false.
* Added new ConstTensor() constructor in Tensor.cpp to accept vector<>.data()
using template<typename MemoryType>.
* Fixed runtime->GetOutputTensorInfo()/GetInputTensorInfo() methods and
called submethods to return TensorInfo& rather than TensorInfo.
* Fixed all failing unit tests for CpuRef/CpuAcc/GpuAcc to ensure any
ConstTensor created has it's TensorInfo isConstant set to true.
* Added unit tests in TensorTest.cpp to ensure ConstTensor constructors
throw InvalidArgumentException when TensorInfo isConstat parameter is
false.
* Added unit test to ensure an empty ConstTensor constructor will set
TensorInfo isConatant to true.
* Indentation fixes.
* Fix to arm_tensor.i to add isConstant parameter to TensorInfo
constructor. Added methods IsConstant() and SetConstant().
* Fix to const_tensor.py to throw ValueError when TensorInfo
isConstant is set to false when constructing a ConstTensor.
* Fixed PyArmnn unit tests to set TensorInfo isConstant to
True when ConstTensor is used.
* Added unit tests in test_const_tensor.py to ensure ConstTensor
constructors throw ValueError when TensorInfo isConstat parameter
is false.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I44e440dd0422c366d31bbdbc77ad2b4db0bde148
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* enable external memory management for neon and ref backends
* change m_TensorMemoryVector to hold shared pointers
* change input layer backend Id to match backend id of connected layer
Signed-off-by: Finn Williams <finn.williams@arm.com>
Change-Id: I2216a724028312eb101b290df3f224177826b1a0
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* Moves the creation of a DelegateOption object from
armnn_external_delegate to DelegateOptions.
* This allows this code to be reused elsewhere
* Allow boolean values of DelegateOptions to be passed as
strings e.g. 'true' or 'false'
* Add unit tests
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I0ada17f511027dd3f47a85142cae346464682f5a
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* Move TContainer to armnnUtils library
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I3c0f895d11b66f6ee224ac689a19d0477f990b98
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* Added a single definition of TContainer to include/armnn/Utils.hpp
* Change all files which contained their own identical definitions of TContainer to use the new one
Signed-off-by: David Monahan <David.Monahan@arm.com>
Change-Id: I63e633693a430bbbd6a29001cafa19742ef8309a
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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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* Created method in Graph.cpp/hpp ConstructErrorMessageForUnconnectedInputs() to
verify weights and bias are set for FullyConnected layers.
* Above method called in Graph.cpp InferTensorInfos() to print a more descriptive
message when the weights or bias for a FullyConnectedLayer is not set.
* Added try-catch in TestUtils.cpp Connect() to ensure input slot is available
when connecting two layers. This ensures we catch the case where bias is
is not enabled and we try and set a bias layer.
* Added unit tests to check for LayerValidationError when weights or
bias is not set on a FullyConnectedLayer.
* Added unit test to check for LayerValidationError when bias is not
enabled and we try and connect bias to FullyConnected Layer.
* Seperated FullyConnected EndToEnd unit test method into two methods.
First, performs tests on EndToEnd examples asserting output value.
Second, performs tests on error catching.
* Added comments to created methods.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I5207d8c5ebacfff598556742ccd4f53eef7dee0c
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* Upgrade doctest to version 2.4.6 to allow Arm NN to build with
glibc 2.34
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Iff2ef286ba5ad0e0ec0f54f510253a2ec4b464d3
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* Add ClearImportedInputs/Outputs function to IRuntime
* Add UnImport function to ITensorHandle
* Remove mutex from IWorkingMemHandle
Change-Id: I34c9b6e1618755e10f3b4597afa1d9a9ea97e5fe
Signed-off-by: Finn Williams <finwil01@e127804.cambridge.arm.com>
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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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* Added front-end
* Added Reference workload
* Added Serializer & Deserializer support
* Added unit tests
* Added NDHWC DataLayout
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Iec4d39e7433b5334d52fa44cf8efc6bcd39319d8
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Ifc5e6f2e36767cb2a5cbf281d40ec9989b581abc
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* Deregister backends in BackendHintTest.
* Deregister backend in ThrowBackendUnavailableException
* Clean up dynamic backends when an exception is thrown from
RuntimeImpl::RuntimeImpl.
* Use CHECK_THROWS_AS_MESSAGE syntax in ClCustomAllocatorTests.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I0e6e5413dd074b5fcfc9515c85cb8d40a4a0b73c
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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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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Schema with IsConstant and ConstantTensorsAsInputs.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added dynamic or constant input EndToEnd tests.
!android-nn-driver:5959
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
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* Fixed unit test failures happening on threads.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I2a6048f75ece4a9f4c2116306838ff55385aabe7
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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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* Fixed PreCompiledObject type (was const void** instead of void*)
* Fixed bug where a new shared_ptr was being created instead of allowing
std::move to convert the unique_ptr into a shared_ptr.
* Improved tests to ensure that the original pointer is maintained.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I3f50d51775ee0180c894c2843ed7bc990a771dea
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* Adds logic to the Runtime to activate protected mode
* Adds ProtectedContentAllocation backend capability to ClBackend
It's not fully activated yet because the CustomAllocator is
missing. Will print an error message and won't register the backend
but won't fail.
* Extends IBackendInternal with an UseCustomAllocator function.
* Adds related unit tests
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I64f465c5800eb104aa90db1bbf772a4148b5072f
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Refactor code around conditionally-compiled tests to avoid declaring
empty test suites, as this can cause unused function warnings to be
issued under certain combinations of compiler, warning level, and
doctest version.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: Ib501aef80475538a725b857d9c31d1d2f96b124d
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Because the maximum value of an int32_t isn't exactly representable
by a 32-bit float, casting it to a float produces a greater value,
and then casting that back to an int32_t is undefined. (In tested
implementations the cast saturates, so accidentally the correct
result is returned).
Using double for the intermediate value instead gives a high
enough precision that this test case can be safely expressed.
Silences warning from Undefioned Behaviour Sanitiser.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I6fe3e89cb6ac695049c92f3b75aca0c14d0e14aa
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* Fix type of literals
* Add explicit casts
* #include missing headers
* Replace use of non-standard u_int8_t
* Remove name of unused variables
* Fix DLL export macro - this was broken when some of the exporting headers
were moved to a different library.
Change-Id: Ie569c8df41a077b46c608798f39526352e2aeb3a
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I5889a5f44c0c22da6421d9bd06494c75d74e0440
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* Optimization that searches for layers with ConstantLayers as inputs.
* The layer member variables are then redirected to these ConstantLayers.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I24a2bf0e8575b808343e0bbe3897b344e94796ad
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* Added IOptimizedNetwork constructor that takes another
IOptimizedNetwork and a ModelOptions.
* Changed PreCompiledLayer to use shared_ptr rather than unique_ptr
to store the PreCompiledObject (no interface changes).
* Added unit tests to ensure that PreCompiledLayer::Clone() clones
the pointer to the PreCompiledObject correctly.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I3ef56055e0d189ffce9e651882d34da16c70a240
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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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profiling/common
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I83de0fe9c83ec7e698817095ce5cfe3319c36ea6
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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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* PermutationVector.end() was returning the end of the fixed size array
m_DimMappings rather than the number of mappings set by the constructor.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Ie218f7922e8c9c35c1dc702e43a5ee2fd1a61ff0
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*All fold pad test are now in a separate file
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic0b0436f6b0194404f9a3f1553e2f69524b63580
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib01629256309cfe17f341909d5b9bbbb09361422
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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 block of code to help our Windows user is no longer relevant with
the removal of Boost.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I0f63277cd6913b8edfbcccf3f2cd1880227c35ec
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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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* 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
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I8a29df03afdd6f1cc8413b219e179272cd2d51cf
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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
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* 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
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* 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
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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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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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