Age | Commit message (Collapse) | Author |
|
* Add DetectionPostProcessDescriptor.
* Add implementation for DetectionPostProcessLayer.
* Unit test to validate output.
Change-Id: If63e83eb2a2978c549071c7aeb272906e7c35fe9
|
|
* 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
|
|
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
|
|
* Add documentation to the Descriptors
* Add documentation to the layers
Change-Id: I5e0849753903565227fd47d329a600fd90b2feb9
|
|
!android-nn-driver:428
Change-Id: I42e59ad96d2c80f46b085182855d34b710a74dfe
|
|
Change-Id: I6b26c681989ef815752186f027a245ef8da7aea2
|
|
Change-Id: Ic772acf481caed6e8a6b99f68a63dfc2a34c24dc
|
|
Change-Id: Ifa88a879dd239f60ab27330d6b73859393828ef0
|
|
Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
|
|
* 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
|
|
* Changed ClL2Normalisation from using CLNormalizationLayer
to use CLL2NormalizeLayer to normalise along the channel axis
in either NCHW or NHWC format.
Change-Id: I399cbee408a277d1ef8c6c85ebcbd86d6c3e407b
|
|
implementations
Change-Id: I906dcb8b4c9b491bf3a661f208c09d0ea1c0fa35
|
|
BatchToSpaceNdLayer.
* added Unit test
Change-Id: I80f55e8c7afb39d96006c8dd027fc9683ea8182e
|
|
* 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
|
|
Change-Id: I13c6728dbb60643d0e086d171225c5d802987f92
|
|
implementations
Change-Id: Ibd457f3a2d4342c4d6335bd3c471282a14ab6b14
|
|
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
|
|
* Adds implementation to plumb DataLayout parameter
for Pooling2D on CpuRef.
* Adds unit tests to execute Pooling2D on CpuRef
using NHWC data layout.
* Refactors original tests to use DataLayoutIndexed
and removes duplicate code.
Change-Id: Ife7e0861a886cf58a2042e5be20e5b27af4528c9
|
|
Change-Id: I962e986607e5d045cd97b9eaeaea2f5ae624db35
|
|
and UInt8
BatchNormalization workloads
* Enabled NHWC support in RefBatchNormalizationFloat32Workload
* Added NHWC unit tests for both FP32 and U8
* Refactored the existing unit tests
Change-Id: I6aa18f1dcc0666b80a17a7ed229cf53607bae147
|
|
* Adds implementation to plumb DataLayout parameter
for ResizeBilinear on CpuRef.
* Adds unit tests to execute ResizeBilinear on CpuRef
using the NHWC data layout.
* Adds DataLayoutIndexed API, allowing easy access to
the Channels, Height and Width of a tensor based on
its data layout. This reduces code duplication.
* Refactors original ResizeBilinear implementation and
tests to use the DataLayoutIndexed API when required.
Change-Id: Ic2b8916cdd2e370d070175547079d774daf6d7bf
|
|
Change-Id: I9059a292e47867df82a5efbba5808fd264949ec9
|
|
* Added data layout parameter to ResizeBilinear
descriptor, in order to support NHWC.
Change-Id: Ifdbc4529127b7329a056d0a68e2e42b175aeea4a
|
|
* 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
|
|
Change-Id: I33dce72bb0f1e25425dc058d6213a7cdf56eecd2
|
|
Change-Id: Ia14c9d8c0a38b669a7589e63d74424e398790e54
|
|
Change-Id: Ib70883a20fa7b82bfb090aa98cc51a6d645b5722
|
|
* 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
|
|
* Added PadDescriptor and PadQueueDescriptor
* Factory method CreatePad on all backends returning null workloads
Change-Id: Ifeb50f9249ea31edfc3586d49b008ea1b5c59ae2
|
|
* add MeanLayer functionalities
* modify MeanQueueDescriptor to use parameter
* add IsMeanSupported placeholder for all backends
Change-Id: Ic69a34a61df667849977aad9b38f9a01eef565b5
|
|
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
|
|
|
|
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
|