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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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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I565a510de0dabdc25d518698174cd61d796239f4
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Icc0d131c8ee2e9748e2f14762a75962b39c10f9d
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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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* ILayerSupport is a backend interface, and so in order
to prevent false positives in ABI Compliance Checker
move it to backends folder.
* Front end users should use ABI stable
GetILayerSupportByBackendId which takes
advantage of LayerSupportHandle
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Ie119451c5d55f114525dc79b6f3474b2df7e3418
!android-nn-driver:5516
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* Fix bug in stack layer which causes mobileBERT model to seg fault
when running in concurrent mode.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Ib2b73ffaa5b70147b837b7c764064e530baba637
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* with Conv2D for tflite parser and delegate
* with TransposeConv for tflite parser
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I8d1ed1f3388c6eace436d0e6fd5869451c6e7830
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* Changed behaviour of bias scale tolerance check such that if
input quant * weight quant != bias quant +/- tolerance
Then instead of throwing an error we send a warning.
* Updated tests to reflect changes
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Ifd97c574fe13805660df4636e9616b2d786b490d
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* Split ClImportTensorHandle out from ClTenorHandle
* Added implementation of Import function
* Added Unit Tests
Signed-off-by: David Monahan <david.monahan@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I07de2ca5bebf19dfb9a8dddea4b18340ffc31fad
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* Fix bug in stack layer which causes some models to seg fault.
* Turn off bias input data if data location in TfLite file is set
to -1.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I0db8cfe04874979382edcf2bed336339700e3538
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* Added checks to SerializerStrategy::CreateTensorInfo to handle situations
where a shape has some unspecified dimensions
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Idc64bfdabd5677c73a5c64f0c8e80156f3aae8e2
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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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* 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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* Remove from .md files and Doxygen
* Remove from armnn/docker build
* Remove Tensorflow model format from ExecuteNetworkParams
* Remove Tensorflow model format from ImageTensorGenerator
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Id6ed4a7d90366c396e8e0395d0ce43a3bcddcee6
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* Enabled async mode with '-n, concurrent' and 'simultaneous-iterations'
in ExecuteNetwork
* Number of input files provided should be equal to number of input files
provided multiply by number of simultaneous iterations divided by comma
!armnn:5443
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ibeb318010430bf4ae61a02b18b1bf88f3657774c
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* Add inter layer memory management to WorkingMemHandle
* Change Const layers to be executed once in loadedNetworkConstruction
and share tensorHandle between all WorkingMemHandles
* Fix various reference workloads pointing to memory in the queueDescriptor
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I69d4b3c5c84d2f5abe4540c3e624ab4f00d88226
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I02da912e5e4ca650b367ca40fe3f5ca5baa61cbb
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Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ida37d3ee3a1af0c75aa905199bd861726c646846
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I8a29df03afdd6f1cc8413b219e179272cd2d51cf
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I481343af311cf3cbc81eee80e80d8b5581fdfd7b
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I1bbf1f2edf7282cb69b99e22de1b8a2fe6e443c2
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* Removed check in TfLiteParser and Delegate that requires both weights
and biases to be constant or non-constant simultaneously
* Updated TfLiteParser FullyConnected layer test to properly use
non-constant weights
* MobileBERT Float32 model now runs on TfLiteParser
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I1d75eea466caa90cd695ad353160362df2f69483
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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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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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* Add new class ManagedConstTensorHandle to Unmap when out of scope
* Integrate into existing layers that have constants
* Add unit tests
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I0a05e14e438804b37e9862e76b5ca329483f6b45
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Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ib00be204f549efa9aa5971ecf65c2dec4a10b10f
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* Updated ParseSplit TfLiteParser function to read correct axis data.
* Improved validation in ParseSplit and ParseSplitV function.
* Added TensorFlow BOOL support to TfLiteParser.
* Added supported ElementWiseUnary operators to TfLiteParser
E.g. ABS, LOGICAL_NOT and RSQRT.
* Removed ParseExp and ParseNeg function implementation in favour
of reusable ParseElementWiseUnary function.
* Removed Exp.cpp and Neg.cpp files and moved tests to ElementWiseUnary.cpp.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibce36e3ce4d95755dda88abc2ddde1e07e62c5e2
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* Added multithreaded StridedSliceEndToEndTest
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
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IVGCVSW-5415 Add TfLiteParser support for CAST
* Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
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* Fix for GitHub#523.
* Updated ParseArgMinMax function to read correct axis data.
* Improved validation in ParseArgMinMax function.
* Added ARG_MIN support to TfLiteParser.
* Added ArgMinMax unit tests for TfLiteParser.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib4ce1a7c66e210c47859a130c4896aac958f2654
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* Added support for Signed64 to flatbuffer's schema & updated source tree
* Added support for Signed64 to TFLite Delegate
* Added support for Signed64 to Serializer
* Added support for Signed64 to Deserializer
* Added unit test for ArgMinMax to Deserializer
* Deprecated m_Output_Type from the ArgMinMaxDescriptor: the output type
is solely determined by the DataType of the output Tensor
* Fixed issue where RefArgMinMaxWorkload could output data using
the wrong DataType
* Added Signed64 to RefLayerSupport::IsArgMinMaxSupported as a supported
type
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib622c052a1f8aa3e658262f8bde5a6881a8cbe10
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I2873f8563cc11da550d460b04e5175372489a564
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* Moved IAsyncNetwork into IRuntime.
* All LoadedNetworks can be executed Asynchronously.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ibbc901ab9110dc2f881425b75489bccf9ad54169
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: If2069b4d274286e654ac2bceb52d147f9ee3a7a9
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In the bug there were 4 outputs from the final layer. The de-serialized
layer bindings were incorrectly assigning the tensor info of one output
to all 4 outputs. The solution is to use outputSlotIndex.
One other minor fix: The debug text referred to an Input when dealing
with an output.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I6c68b781a450ae4a5cf1d0e8671bb96ff01862b2
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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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Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ie51ce20540e5e7a704ce2b4be4e8cf64f91ea990
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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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* Implemented Pimpl Idiom for IAsyncNetwork
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ic7311880563568b014a27f6347f8d41f2ad96df6
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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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* Added thread safe execution mechanism for armnn
* Removed duplicate function bool Compare(T a, T b, float tolerance)
* Added StridedSliceAsyncEndToEndTest
* Fixed memory leak
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I2d367fc77ee7c01b8953138543e76af5e691211f
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!armnn:5180
* Remove unnecessary memcopy for non permeuted const tensors
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Idc3ce2ac001e7d6be61819279de486f093730383
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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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This reverts commit 51ce7d487c761358de105f82ff90553570aedac0.
Reason for revert: https://jira.arm.com/browse/IVGCVSW-5798 LargeGraph_TENSOR_FLOAT32 CTS tests failures
Change-Id: Ib031a47f605340b2202ecf074ce96a8b54c51075
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* Add new ClImportTensorHandlefactory for tensor import.
* Add unit tests.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I61884fed65e764ebd6985fe0833e43a7296d0641
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This reverts commit 4c10dfc213a59ec7bbf56b645e313083638b81a4.
Fix for IVGCVSW-5768
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7197067a7bb407ff9d35059289a31912592d3af4
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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.
Arm NN can merge the two because pooling layers are described with
explicit padding.
Signed-off-by: Diego Lopez Recas <diego.lopez.recas@gmail.com>
Change-Id: Id048186db6a005e0257bfbc1406c3b0dab2cdd58
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