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* Implemented NeonResizeBilinearWorkload
* Enable ResizeBilinear Operator unit tests for Neon
!android-nn-driver:405
Change-Id: Iec3100ccaf7d246e8eaf683d1f3ec9191df5241e
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Change-Id: I44d63552d2552842f02b2c870466851581f65b1a
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* Refactored all the workload factories to use "virtual" properly
* Removed the precompiled layer support from the optimizer
* Disabled compiler optimization for debug build to ease debugging
Change-Id: I6ab83abd78f422771359295e25b79bb9be613cfd
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Change-Id: I0ab3339e8803a3e4e700d8fec9883eccc524b31e
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Change-Id: Ia0019134f76764cd4fe6ed9dc1423b8aba411d33
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* add implemenentation for GatherQueueDescriptor validate function
* add FirstInputTypedWorkload to allow type check on the first input tensor only
* add ref workload implemenentation for float and uint8
* add Gather layer support in Ref
* unit tests
Change-Id: I4578a3211f11d24aa29d15bcf7f45b0445bcd1ee
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Change-Id: I073473774e302c2d77e717e1ad718594ce1b5feb
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Change-Id: I6027f6dcdb3ed23505f0a9c780bd3e3d45d3daff
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* implementation of ValidateTensorShapesFromInputs
* unit tests
Change-Id: I1ed88f8ba0ea20329a259c5f36caea4b1fbeb013
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Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
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Change-Id: I2e671f66cf1b0a24b4ca9e96b554dc7db3af9655
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Change-Id: Idfedf82479fb3d4bb2962fc3cfc6c76e57331943
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Change-Id: I72e61a5ece52d69b289a1559907e2fb3084bfa4a
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Change-Id: I24d916eca8ef1efb70d08b5c4f5123bb56a76c3e
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* Added GatherQueueDescriptor to WorkloadData
* Added CreateGather function in WorkloadFactory.hpp
* Added stub implementation of the CreateGreater function in workload factories
* Added GatherLayer stub implementation
* Added AddGatherLayer to Network
* Added IsGatherSupported to LayerSupportBase
Change-Id: I0408fd54e88a7d4e3d9e1c2811a9323f0da52a04
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Change-Id: I57375375b2f3f59b89dbf45750f733bf25b5eb90
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* Update TensorFlowSupport.md
Change-Id: I6fb7f4a4b32397901e0c8b44477a8238879e5917
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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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whats done in the constructor.
Change-Id: I9488cebd63767c0c51d9ee6333d5aaf0e4a85847
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Change-Id: I3d31d6b72be1984acdb51fd9e7b5488a7aa5d832
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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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Change-Id: I43be451f490db0154021f47a2fd49d1269cf5b95
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Change-Id: I7c7b65bd77b06925efdaf2c9c98c30994a12de42
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* Added CL unit tests
Change-Id: Ia4af49b133774141384a177f5b042e65764bf682
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Change-Id: I0bc48f118aba419abb659657b83224401fac0715
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Just include the function definition that is specifically needed for each workload.
Also, tighten up the scope where Compute Library functions are available.
Knocks about 30seconds off a 4m30s single-threaded compile of the Neon workloads.
Change-Id: Idac438f3bc77ff978295fbc9505cb42447def145
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*Added Unit Tests
Change-Id: I6cceb8e6dcda35ce08415f8e5ca86019a64d26e3
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in favor of a type-indepent implementation that takes void-pointers
* The new implementation requires the size of the type to be passed
to the function
* Updated all the usages accordingly
* Removed the old implementation no longer used
!android-nn-driver:469
Change-Id: I37f4e6d62a38fbb8ec8c39bb559a2c54c83365d4
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* Added Unit test
* Updated TensorFlowSupport.md file
Change-Id: I5f07de5e91ffb681c0ad17c7c73ee0326e7f1e0a
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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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default cases are handled by DefaultLayerSupport
Change-Id: I31942a5e8515d6fdce9a0adf20906eaabc2b9aa6
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StringMapping was located in the backendsCommon
Change-Id: I1c4a0bfca986722c721fcb2b460c03d6e1cd4568
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Change-Id: Icf7ef88a2eaef80ec32cc718b0ca9d26e830ed07
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Change-Id: Iae6a3bfad06cb669ef0abea465d03163bb8316f5
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Factor out new BuildArmComputeReductionCoordinates function
from CL backend into ArmComputeTensorUtils.
Update NEON LayerSupport and WorkloadFactory objects
Change-Id: Icc975ec699199bffafbdb207323df509d35e1e04
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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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Technical debt work towards adding some new Neon workloads
Change-Id: I08ab6dd14d0e89d4ebc8a878fb69caa5681012bf
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* Unit tests in AddN.cpp
Change-Id: Ifb2fa1051d5d92c5d9a5ca751abee4e81ebe39c9
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Change-Id: Ibe1b27b268011878c7dce3c96efea01402453027
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Change-Id: I74f0d27881fcc42d962fdd61562811a1f53dd0eb
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* Add documentation to the Descriptors
* Add documentation to the layers
Change-Id: I5e0849753903565227fd47d329a600fd90b2feb9
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* Unit tests in Greater.cpp
Change-Id: Ifb3e4c33be2d6235e33889bb63e6abd78bd7d8b6
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!android-nn-driver:428
Change-Id: I42e59ad96d2c80f46b085182855d34b710a74dfe
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* Add Arithmetic end-to-end test implementation
* Enable tests for float, Uint8 and Broadcast
Change-Id: I81c7096e9b6ad29eaa935b74ad5f30f823be2331
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Change-Id: Iddae3486641d2d195827ae4e0a9dfa3f7ccd65e3
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* Added CLMaximumWorkload implementation
* Added CL unit tests
Change-Id: I922c83fe25d17be21a5d0f4e861038463cb09789
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* Unit tests in Equal.cpp
* Fixed error in Network::AddEqualLayer
* Refactored TfParser::Minimum/Equal to get rid of duplicate code
Change-Id: I0ed6f888eb391c995b88be20dc0c1b916dd14c3c
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* Added the Greater operation as an element-wise workload
* Added the unit tests
Change-Id: Ie00ee30e47a5f5e17a728032eeb11a085d06c8f2
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* Add reference equal workload
* Add Reference Workload Unit Test
Change-Id: If2848e7dde4248566b99d91726d08143c40ff80d
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* Added ACl Implementation to ArmNN
* Added helper function for setting CL Strided Slice arguments
Change-Id: Ie10d387fdb054027ea9b8782743d270bb72949c1
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