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* Added VisitConstantLayer to QuantizerVisitor
* Added unit tests and refactored QuantizerTest.cpp
* Code cleanup
Change-Id: I118fd2be085fc98879c5cfaa09698a7c98ba13f0
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: Ica9c48adad741840b201047bb65541a19aac17f7
Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
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* Some refactor of the existing QuantizePermute test for reuse
Change-Id: Ifaf1afc476bad348f260fa5340c0153e7ade2703
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: I4f208d18f7ac6bb04423cc26ecf61adf0ccc5d26
Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
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Change-Id: I1b409e5dac7922859e04a554893b982afc5ad1e7
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Change-Id: Iab0d5aed243aca921661e4d39770fe02b1330442
Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
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Change-Id: I68cf5072aca6e3a8b3b8c57e19b6d417cd5813fc
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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Change-Id: I216344ee10bbffadb648d4aef1d9a0d9dbb4a341
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Signed-off-by: ruoyan01 <ruomei.yan@arm.com>
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DepthwiseConvolution2D and FullyConnected
Change-Id: I3048504ff699fdb266488e7c07b7262e5843d4b0
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
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Change-Id: If7985a54eba97f7c61413e0804879e4afbf65c4d
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: Ib18085e7e4b2e9d55e29b14122410732e3bdd088
Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
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* Minor code cleanup and refactoring
Change-Id: I9c6390c15944686134ddf4b47839762f2bb13922
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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* Added the OverrideInputRange method to the Quantizer API
* Created OverrideInputRangeVisitor to implement the override mechanism
* Moved the quantizer utility functions to the new NetworkQuantizerUtils files
* Moved the map of quantization ranges out of the StaticRangeVisitor
and into the NetworkQuantizer
* Added unit tests
* Code refactoring and cleanup
Change-Id: I9c1d006c1b6a35fbc04584a832fbe489f8f9276d
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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* end to end tests for Detection PostProcess float and uint8
* add anchors to AddDetectionPostProcessLayer
* add anchors to VisitDetectionPostProcessLayer
* refactor code
Change-Id: I3c5a9a4a60b74c2246b4a27692bbf3c235163f90
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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Change-Id: I13614fe3d29eb1040b5927dd69992aab6c136bb6
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: Ia9afd15d002d4454ec72f219c5cf214704f6ae31
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
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Change-Id: I20a67135e4af7aa1f28f5000d73122f4e5e3acd5
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: I7b847112a0322ffc8b88a0708d8439bfb97cfe2c
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Change-Id: I6c61df213278e6ba65807932548bb2eaa159deba
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Add concrete subclasses for layers taking descriptor as argument
* Add unit test cases for all layers
Change-Id: Ie0135b34a5a41e5ce654b7c3186eccea392ab919
Signed-off-by: FrancisMurtagh <francis.murtagh@arm.com>
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Change-Id: I73ae9b43fa1631fdec423177d37fffc719c71f88
Signed-off-by: FrancisMurtagh <francis.murtagh@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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Change-Id: I304ddd3efa2f1c5a8e2143276a97c031a624601e
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Change-Id: I48c8795e546e3a36414ae88316908519d5879628
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* Add abstract base class TestLayerVisitor
Change-Id: Id453f3ad9721f3680166a41b75a1880cf20032f7
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* Add DetectionPostProcessDescriptor.
* Add implementation for DetectionPostProcessLayer.
* Unit test to validate output.
Change-Id: If63e83eb2a2978c549071c7aeb272906e7c35fe9
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* Remove Equal and Greater from RefElementwiseWorkload
* Create RefComparisonWorkload and add Equal and Greater
* Update ElementwiseFunction for different input/output types
* Update TfParser to create Equal/Greater with Boolean output
* Update relevant tests to check for Boolean comparison
Change-Id: I299b7f2121769c960ac0c6139764a5f3c89c9c32
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* implementation of ValidateTensorShapesFromInputs
* unit tests
Change-Id: I1ed88f8ba0ea20329a259c5f36caea4b1fbeb013
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Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
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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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code base
* Made the virtual functions in ILayerSupport.hpp pure
* Created a LayerSupportBase class with the default implementation of
the interface
* Made the backend layer support classes inherit from the base
class, instead of directly from the interface
* Refactored the profiler and the profiling event classes to use
the BackendId instead of the Compute
* Implemented a proper MemCopy support method
* Changed Compute to BackendId in the profiling API and objects
* Removed static references to pluggable backends
!android-nn-driver:492
Change-Id: Id6332b5f48c980819e0a09adc818d1effd057296
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* Unified ArmNN's weight format to [ M, I, H, W ] for the depthwise convolution
* Added conversion utilities to permute/reshape the weights as appropriate
when using CL and Neon backends
* Updated the reference implementation of the convolution
* Updated the relevant unit tests accordingly
!android-nn-driver:459
Change-Id: I07d0818efa9d1ca1e5dad82983aac1fe78eadb18
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* Allow control inputs from TensorFlow graph but ignore them in ArmNN graph.
* Add utility function to test ArmNN graph structure.
* Add ArmNN graph structure tests in TensorFlow paresr to ensure that control inputs
are ignored in ArmNN graph as well as their inputs that are not used anywhere else.
Change-Id: Ib0ea0d2df85e3fc79b748fa4c9d20e0649352bc1
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Change-Id: Ifd28e049192e6f5fe5c0f5d358afb2b530eef882
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* Modified optimizer to support debug mode via DebugLayer
Change-Id: Ic8f313778e55540c182cf99876c44a0823be04c6
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* Since DataLayoutIndexed is now required in the TF parser, this
changes move it to the armnnUtils library so that it'll be
accessible by the armnnTfParser
* Modified CMake files and Android.mk files accordingly
Change-Id: Ie2620359ef288aeff64cb9e9bec068a466eee0e9
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workloads and workload functions
Change-Id: I6f3fce12a55f7d38ceafcdfcd6b5181bf56e2c09
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* helper methods for creating TensorShape and TensorInfo objects
Change-Id: I371fc7aea08ca6bbb9c205a143ce36e8353a1c48
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Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
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* Add LayerTests
* Add WorkloadTests
!android-nn-driver:166
Change-Id: I903461002879f60fc9f8ae929f18784e2d9b1fc1
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* Ported Google's LSTM implementation to RefLstmFloat32Workload
* Fixed the code throughout because of an error in the docs around the
scratch buffer size
* Updated IsLstmSupported
* Added the unit tests
!android-nn-driver:127
Change-Id: I5577b7e39ca52df1a7f102a9b437df6aa99520b6
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stable test (memory-wise)
This prevents false-positives when running the tests on Master
Change-Id: I4348378f3689cb3ec98686a93315d2b88bb7bcc7
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Change-Id: Idc0f94590566ac362f7e1d1999361d025cc2f67a
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BatchToSpaceNdLayer.
* added Unit test
Change-Id: I80f55e8c7afb39d96006c8dd027fc9683ea8182e
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Change-Id: I93223c8678165cbc3d39f461c36bb8610dc81c05
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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* Fixes bug when calcuating indexes for NHWC in
Pooling2D CpuRef implementation, it now uses
TensorBufferArrayView.
* Adds 2-Channel unit tests for Pooling2d on CpuRef,
Cl and Neon. The single channel tests were not
properly exercising Pooling2d using NHWC data layout.
* Refactors Pooling2D NHWC tests so that the input and
output data are permuted to NHWC when necessary,
instead of hard coding the data in NHWC format.
Change-Id: I5b9d41ed425ff283ea8c8ef6b1266ae0bc80f43b
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shape in ValidateTensorShapesFromInputs
* Convolution2dLayer
* DepthwiseConvolution2dLayer
* Pooling2dLayer
* ResizeBilinearLayer
* Unittests for ValidateTensorShapesFromInputs
Change-Id: I057caf8a90d822175a7dd7271f960b65c6154bb4
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Change-Id: Iae9a76b10d84d7ba80136b54355f8d37d2df475d
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the unit tests
* Created the ClFloatWorkload class
* Added ClMeanValidate validation function
* Added helper function to convert the reduction axes from the ArmNN
format to ACL's
* Added workload tests
* Added some unit tests
* These changes need the CL pin to be pointing at least to revision
88d871028eeae57f9e4536d0329110eccb5e2890 (COMPMID-1574 Implement
ReduceMean in OpenCL)
!android-nn-driver:155033
Change-Id: I694fd36be0458c90e158172afde045fcc88c32ae
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