Age | Commit message (Collapse) | Author |
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* Layers which callback VisitXXXLayer with ConstTensor
have been implemented with dummies to speed up implementation
and unblock IVGCVSW-2531
Change-Id: I49b8035f12ec72d6bd6cee95075692f98c48e193
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* Added DetectionPostProcessQueueDescriptor to WorkloadData
* Added CreateDetectionPostProcess function in WorkloadFactory.hpp
* Added stub implementation of the CreateDetectionPostProcess
in workload factories
* Added DetectionPostProcessLayer stub implementation
* Added AddDetectionPostProcessLayer to Network
* Added IsDetectionPostProcessSupported to LayerSupportBase
Change-Id: Ifc071b3b6b12877c997bdcc43d769c8f891d5c6c
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* implementation of ValidateTensorShapesFromInputs
* unit tests
Change-Id: I1ed88f8ba0ea20329a259c5f36caea4b1fbeb013
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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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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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*Added Unit Tests
Change-Id: I6cceb8e6dcda35ce08415f8e5ca86019a64d26e3
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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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* Add documentation to the Descriptors
* Add documentation to the layers
Change-Id: I5e0849753903565227fd47d329a600fd90b2feb9
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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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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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Change-Id: I6b26c681989ef815752186f027a245ef8da7aea2
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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: I5455b720565248ff94278e76887d63f8434a7b58
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Change-Id: I03fa374fd9692d98257de709f8c3ad0a49c88b95
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Change-Id: I8964f5e8978c2d2a07734a381e3f7c656c22456a
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Change-Id: Ifeacc0adb4547c72537b9ea7a61bf3c4ec3673fa
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Change-Id: Ifa88a879dd239f60ab27330d6b73859393828ef0
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* Fixed unsigned to signed conversion error that was
breaking master
Change-Id: I08d79d9bf131eb46ea0495371160698ab59c1721
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Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
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Change-Id: Iab6ad04e5c786e4e639578f7b1d1537dd1196e2f
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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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* 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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implementations
Change-Id: I906dcb8b4c9b491bf3a661f208c09d0ea1c0fa35
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BatchToSpaceNdLayer.
* added Unit test
Change-Id: I80f55e8c7afb39d96006c8dd027fc9683ea8182e
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* Fixed error in InferOutputShape implementation
* Added better error checking to the BatchToSpace implementation.
* Added defaults to the batchToSpace descriptors.
* Changed crops to be a vector of pairs to align with the SpaceToBatch implementation
Change-Id: Ib1c16d871f0898a1caeb6629c1fee6380a773e14
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Change-Id: I13c6728dbb60643d0e086d171225c5d802987f92
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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implementations
Change-Id: Ibd457f3a2d4342c4d6335bd3c471282a14ab6b14
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shape in ValidateTensorShapesFromInputs
* Convolution2dLayer
* DepthwiseConvolution2dLayer
* Pooling2dLayer
* ResizeBilinearLayer
* Unittests for ValidateTensorShapesFromInputs
Change-Id: I057caf8a90d822175a7dd7271f960b65c6154bb4
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Change-Id: I6e39f1e1bc32c0c2c1953da00016edd68c48d4e0
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Change-Id: I76551d511ef718eac36e5b8e5fe426ec3a402855
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Change-Id: I3e6e5b9a62f30d03c05bd7178adea8f4c8275da8
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* Added simple convolution Unit test
* Set the data layout correctly in workloads
Change-Id: Ie71b8415f6abc392a84900fc4438b7416fbb558a
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* moving backends/ClWorkloads to backends/cl
* and moving pure Cl workload related code to
backends/cl/workloads
Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129
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* Added L2NormalizationDescriptor struct with m_DataLyaout member
* Updated all IsL2NormalizationSupported calls to take a descriptor
as an argument
* Updated L2NormalizationLayer to take a descriptor as an argument
!android-nn-driver:150116
Change-Id: I0459352d19cfd269bc864a70cf73910bf44fdc01
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Change-Id: I6fb15c407024e3b91d5abf4513f8090be5821760
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Change-Id: Ia14c9d8c0a38b669a7589e63d74424e398790e54
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Change-Id: Ib70883a20fa7b82bfb090aa98cc51a6d645b5722
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* Added the DataLayout parameter to the Convolution2dDescriptor
* Added the DataLayout parameter the Convolution2dQueueDescriptor
* Set the DataLayout on the Descriptor in CreateWorkload()
* Added overloaded factory methods for CreateTensorHandle()
* Updated BuildArmComputeTensorInfo() to take DataLayout parameter.
* Updated handles to take DataLayout parameter
* Updated (Cl/Neon)Convolution2dWorkloadValidate
* Updated (Cl/Neon)Convolution2dFloatWorkload
* Updated (Cl/Neon)Convolution2dUint8Workload
Change-Id: I8410668b3d727ca587bee66755cc4c4c78422f1f
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Change-Id: I6e9973bf25acad980fb4e96af8080ac829db0d28
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* add MeanLayer functionalities
* modify MeanQueueDescriptor to use parameter
* add IsMeanSupported placeholder for all backends
Change-Id: Ic69a34a61df667849977aad9b38f9a01eef565b5
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Change-Id: Ib9a477e5ce590df74ba05fece77258b9204f6523
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All changes are the same:
//
// Copyright © 2017 ARM Ltd. All rights reserved.
-// See LICENSE file in the project root for full license information.
+// SPDX-License-Identifier: MIT
//
Change-Id: I37eae011411133663ca9d2b059714d92f8bf8e24
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Change-Id: Ic043030455b3cf8ad7f92fd0a75175c1827a95f4
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*IVGCVSW-1772 Create QueueDescriptors
*IVGCVSW-1773 Add a CL implementation of the DivisionWorkload
*IVGCVSW-1774 Add Neon implementation of the DivisionWorkload
*IVGCVSW-1775 Add a Ref implementation of the DivisionWorkload
*IVGCVSW-1776 Add a Division Layer
* Added simple division unit tests with broadcasting
Change-Id: I05751fb7f868789f6c06f91e8d25e52b4f12ab5e
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