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* Added CONV_3D operator support.
* Fixed TfLiteParser test issue where QAsymmU8 tests were incorrectly
using the Boolean comparison function.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I9db03b54b6de63f918717af80c5ac5310fe26183
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I435723160e9b639a70e0b48ee9d722d306461291
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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: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ie0b68b08fc31444c58b0ffc9babdd456bbb51f35
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* Add front end
* Add reference workload
* Add unit tests
* Add Serializer and Deserializer
* Update ArmNN Versioning
Signed-off-by: Simon Obute <simon.obute@arm.com>
Change-Id: I9ac1f953af3974382eac8e8d62d794d2344e8f47
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* Add ParseGather to support Gather operator on ONNX
* Add Support of int64 converted to int32 for constant
* Add OnnxParserTestUtils
* Refactor ValidateTensorShapesFromInputs of GatherLayer
* Unit tests
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ie9dff640240e14a062fef38f7faf0ccc212de5f7
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Change-Id: I292add699b2af32fab87b98929fe6fee79fdf356
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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This reverts commit fc8d434bb318aebb433a2f6d8ce9c066cd9c1b1e.
Reason for revert: Causes failures in the armv8 builds need to back out and fix again later
Change-Id: I5ccdbb622caaa6413de41e1ee073f38dcabff7d8
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3547effcbebf1ebc02d3b20f5db394a26991424d
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Change-Id: I4199239228f7d5f4c819a7fe04cca059a830bf1f
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Added support for LRN to TfLiteParser
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ia34441a4adeecd1f17c65af047d6c207729703ec
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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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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I57bcbdec3eb0155f41af0fe7d6abf9bac2ec86eb
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* Added ICustomAllocator.hpp to include/armnn/backends/
* Added the ability to specify an ICustomAllocator to the CreationOptions
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I820e468b691aa032c9bd2c1e1257dc9d02f981d9
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* tflite shape_signatures will now be the preferred way to detect dynamic tensors
* add test utility to the parser that converts a model's tensors to dynamic
* by default tests will run a dynamic version of the model in addition to the original
* fix dynamic shape inference of unpack operator
* reactivate and fix quantize test
* add shape inference to expand dims
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: If11ba19d813cd3590707583dff1e4eb0e6412a1d
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!android-nn-driver:5966
Change-Id: Ice0b4d2872bb0e09bfc0763034a206c3a8f24af4
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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E.g. Equal, NotEqual, Greater, GreaterOrEqual, Less and LessOrEqual
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
Change-Id: Id56ef3cc19cc5c5daa19354010c9f25766e5fd00
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* Remove all references to boost from the ArmNN build files:
* Caught one remaining include in TensorTest.cpp.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ib8c8014cf471aa0024c977ccb23ebf96b0236aca
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* Add ExpandDims tests in tfliteparser
* Add support for negative axis to squeeze
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I604c9b4ac6514895e9e3d4d85c2937e797d288e0
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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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!android-nn-driver:5802
* Extract the threadpool from LoadedNetwork/Runtime
* Refactor the threadpool to be handle multiple networks
* Trim IAsyncExecutionCallback and add an InferenceId to AsyncExecutionCallback
* Add AsyncCallbackManager class
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I36aa2ad29c16bc10ee0706adfeb6b27f60012afb
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* Moved useful test utilities to new static library.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib800e0737bc5f78399cffa501483b4d26356215c
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* Add TfLiteParser and delegate support
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Id3219ba7cc7128b5e73de2c7d8d076a40dcce9c5
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* Add front end
* Add reference workload
* Serialization/Deserialization
* Add unit tests
* Update ArmNN Versioning
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I6fcb1fa341d6f08dea4003b13544e6e9f53fefd3
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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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into profiling common
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I0d672cc782cc2de66a88acf0d83fcd40208ace95
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3dedcc86efe1a67c709d9da636953e2fc400107b
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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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* 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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* 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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* Allow installation of ArmnnConverter
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I9deccb23b969c78d3e79b3a948498d2ec6fe6a5f
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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: 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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* 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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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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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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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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Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I32a92e0efabefd1e342203a13f11a622a3e25076
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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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* 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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* 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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