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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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Technical debt work towards adding some new Neon workloads
Change-Id: I08ab6dd14d0e89d4ebc8a878fb69caa5681012bf
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Change-Id: Ibe1b27b268011878c7dce3c96efea01402453027
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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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* 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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Equal operation
* Add QueueDescriptor in WorkloadData.hpp
* Add CreateEqual function in WorkloadFactory.hpp
* Added stub implementation of the CreateEqual function in RefWorkloadFactory,
NeonWorkloadFactory and ClWorkloadFactory
Change-Id: Iec6dc2f989c67fa6f0c32cfb93508995c8580783
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Change-Id: I56f56398e7c2c2ac57a96952237e7f1bc0ced208
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per COMPMID-1818 change to using Blob-based memory manager.
Will change back when COMPMID-1848 is fixed.
Change-Id: I6e22c2edf422202410faa717b330a2c96c3ebbe5
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Greater operation
* Added QueueDescriptor in WorkloadData.hpp
* Added CreateGreater function in WorkloadFactory.hpp
* Added stub implementation of the CreateGreater function in RefWorkloadFactory,
NeonWorkloadFactory and ClWorkloadFactory
* Added GreaterLayer stub implementation
* Renamed ArithmeticBaseLayer to ElementwiseBaseLayer
Change-Id: I7e38c2936de905da921a92ba3f918478169ec7f5
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* Modified optimizer to support debug mode via DebugLayer
Change-Id: Ic8f313778e55540c182cf99876c44a0823be04c6
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Kernel position within the layer is part of the kernel name
Change-Id: I3b9ee870fbd0db025f1515c81245f917189ae884
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Change-Id: I0d69a72df9e348cbeca690926485c050499d1051
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Unit tests not yet added as need Compute Library a84faffd.
Change-Id: Ica16df493e8d6a76da9d1f74bf43b8403f9dff62
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NEFillBorderKernel may not be issued for some activation workloads
depending on the version of the Compute Library.
Change-Id: I01b8960f9eb7a0192cd351eddbb416ac05248b34
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Change-Id: I87c53c78dd033871dbc543550a61d2d535e752ac
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Change-Id: Ib2e5de2a057da57ef77a9f5c4367d699d4773294
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Change-Id: I6b26c681989ef815752186f027a245ef8da7aea2
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* Removed the input swizzling when the data layout is NHWC
* Permuting weights depending on the data layout used
* Added getter methods to ParsedConstTfOperation to get the tensor
info and the storage memory area, needed for swizzling the weights
* Added unit tests for both NHWC and NCHW data layouts
Change-Id: I6543900c594417df630b2663d8551158b93b7836
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* Also added unit test armnnTfParser/test/Pad.cpp
* Added missing 'Pad' entry to GetLayerTypeAsCString(LayerType)
* Fixed the RefLayerSupport.IsPadSupported, now it returns true
* Small fix in Optimize. Only resolve stringstream to string once
Change-Id: Ieaa1886858a48cd761ac5f30454f73e44bdd4b8f
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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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Change-Id: I017ca6c23b62a8978982de0ca4ad204cb8cf7c67
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Change-Id: I5455b720565248ff94278e76887d63f8434a7b58
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* Enable Maximum workload
Change-Id: I5f7786ff66f135f0c74935dbf5861e5a4239bcc8
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* Changed NeonL2Normalisation to use NEL2NormalizeLayer to
normalise along the channel axis in either NCHW or NHWC format
Change-Id: Ibaf119b6a3de3c0f80f94b1c5fe9a356cf1fbd0e
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Change-Id: Id7302c6b1df995ebe6eb8eb94bab38bee1b31b0b
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Change-Id: I03fa374fd9692d98257de709f8c3ad0a49c88b95
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workloads and workload functions
Change-Id: I6f3fce12a55f7d38ceafcdfcd6b5181bf56e2c09
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Change-Id: I8964f5e8978c2d2a07734a381e3f7c656c22456a
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Change-Id: Ic772acf481caed6e8a6b99f68a63dfc2a34c24dc
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Includes a temporary workaround for COMPMID-1813
Change-Id: I3e5217281be072d5b61788ab8a75e818bbc5d247
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Change-Id: Ifeacc0adb4547c72537b9ea7a61bf3c4ec3673fa
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Change-Id: Icc1de9b69d7bb74b6bf5a6a6f315cf07fe2c5223
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Change-Id: Ifa88a879dd239f60ab27330d6b73859393828ef0
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Enabled subtraction broadcasting tests for CL/NEON
Enabled Uint8 subtraction tests for CL
Change-Id: Id36c1530f967c77f5633616e8f491cac9547724b
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Change-Id: I3a6077ad9ded9002aea9c888daab68b6452bd235
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* Add CommonTestUtils
* Add end to end layer test implementation
* Add example usage for Merger layer on Ref, Cl, Neon
Change-Id: I8931136288cd68b80bcdad8f5ae087ae1a70a60a
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This is one of the reasons why the tests in https://review.mlplatform.org/#/c/ml/armnn/+/237/
are failing (but not the only reason).
Change-Id: If485bade2a6dd013cba826cec71d748fc7747249
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Change-Id: I55e27c50953c5e3f0b43bcd7aa8643015480181d
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* helper methods for creating TensorShape and TensorInfo objects
Change-Id: I371fc7aea08ca6bbb9c205a143ce36e8353a1c48
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Change-Id: I9bc46e17e11d73ee1a3bc4f9ec07d46be77fcbcb
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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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* Add ClMergerWorkload and NeonMergerWorkload to call ACL for innermost concat axis
* Modify layer support to call ClMergerWorkloadValidate and NeonMergerWorkloadValidate when concat axis is inner most
* Add m_ConcatAxis to MergerDescriptor
* Modify MergerQueueDescriptor::Validate to check sub tensor only when using subtensor
!android-nn-driver:166
Change-Id: I56676b43964c8d6d726387b41b3cc34a512c0f0a
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