aboutsummaryrefslogtreecommitdiff
path: root/src/armnn/test/OptimizerTests.cpp
AgeCommit message (Collapse)Author
2021-03-22Fold PAD into Pooling2dDiego Lopez Recas
Some models would add a PAD layer before a pooling when they can't express their padding configuration as SAME or VALID. Arm NN can merge the two because pooling layers are described with explicit padding. Signed-off-by: Diego Lopez Recas <diego.lopez.recas@gmail.com> Change-Id: Id048186db6a005e0257bfbc1406c3b0dab2cdd58
2021-02-15IVGCVSW-4873 Implement Pimpl Idiom for INetwork and IOptimizedNetworkFrancis Murtagh
!android-nn-driver:5042 Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: Ia1ce8b839e81b46428ba0f78463e085e5906958d Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Signed-off-by: Finn Williams <Finn.Williams@arm.com>
2020-11-13IVGCVSW-5328-5329 Fuse ActivationMike Kelly
* Added Fused Activation Optimization to both CL and Neon backends. * Added Fused Activation support to all the CL and Neon workloads that support it. * Changed ProfilingTest network to be a Convolution layer followed by an Abs layer rather than an Activation layer. * Added IBackendInternal::OptimizeSubgraphView function that can accept a ModelOptions. * Network will now call OptimizeSubgraphView passing in the ModelOptions. Signed-off-by: Keith Davis <keith.davis@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
2020-11-08IVGCVSW-5315 Create FuseBatchNorm classMike Kelly
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Id0625c58dbeea79874bf986b70d136ed9390bf83
2020-11-02IVGCVSW-5476 Fix Fuse_batchNorm_into_Conv2D_Float32_TestTeresa Charlin
* failing with no backends provided Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I55ebfc52268ad667e495831c64977338d003db99
2020-10-29IVGCVSW-5314 Create OptimizeForExclusiveConnectionTeresa Charlin
* FuseBatchNorm class has been added to facilitate testing * Only Convolution2D FP32 being fused Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I049c4770946ddca21b08516d4c9f4d0d22bf9b45
2020-07-01IVGCVSW-4903 Connect axis parameter in Gather from android to ACL.Teresa Charlin
!android-nn-driver:3302 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ifbc49acb5272f8a36719bb68676e44817190537d
2020-06-03remove BOM from filesLaurent Carlier
Change-Id: Ia4b4bb3be0ed6e933c77d58f8e9879b1370e9537 Signed-off-by: Laurent Carlier <laurent.carlier@arm.com>
2020-04-10IVGCVSW-4483 Remove boost::polymorphic_downcastJan Eilers
* exchange boost::polymorphic_downcast with armnn::PolymorphicDowncast * remove unnecessary includes of boost::polymorphic_downcast Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ie603fb82860fe05fee547dc78073230cc62b2e1f
2020-04-06IVGCVSW-4485 Remove Boost assertNarumol Prangnawarat
* Change boost assert to armnn assert * Change include file to armnn assert * Fix ARMNN_ASSERT_MSG issue with multiple conditions * Change BOOST_ASSERT to BOOST_TEST where appropriate * Remove unused include statements Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I5d0fa3a37b7c1c921216de68f0073aa34702c9ff
2020-03-31IVGCVSW-4590 Fix Lstm layers CellToInputWeightsJan Eilers
* CellToInputWeights were not handeled correctly * Changed CellToInputWeights from Cifg to peephole parameter * Modified exiting unit tests * Added unit test to cover new configuration * Added more descriptive error messages Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ied5dc1253d3df1fd1a79b887a58603d0a9c8f396
2020-03-10IVGCVSW-4482 Remove boost::ignore_unusedJan Eilers
!referencetests:229377 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ia9b360b4a057fe7bbce5b268092627c09a0dba82
2020-03-03IVGCVSW-4314 Per-layer backend hint APIDerek Lamberti
Change-Id: I6ddcffe792e39b17fcdb8af7f13f4a689ef8019d Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2020-01-20Remove inclusion of ArmNN.hpp where it is unnecessary.Matthew Bentham
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Change-Id: Idb583f8de4470eefb47c90189cd3c90e74e0440a
2020-01-13Rename quantized data types to remove ambiguity for signed/unsigned payloadsDerek Lamberti
!android-nn-driver:2572 Change-Id: I8fe52ceb09987b3d05c539409510f535165455cc Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-11-29IVGCVSW-4209 Create a public API for the ArmNN UtilsMatteo Martincigh
* Moved the relevant armnnUtils headers to the new location: include/armnnUtils * Update the header usage throughout the source code !android-nn-driver:2387 Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com> Change-Id: I2ba15cebcacafad2b5a1a7b9c3312ffc585e09d6
2019-09-25NNXSW-1826 Move tests for Optimization classes to separate filesRob Hughes
This splits up the >1000 line OptimizerTests.cpp file. Each Optimization class now has its own test file, all of which are in a subfolder of tests called "optimizations". The original OptimizerTests.cpp now contains mostly (completely?) tests for validating output shapes, which perhaps should be moved to test files specific to the layer types they are testing. Change-Id: Icd1196cad8b720abcb156921aab1adbd4026756b Signed-off-by: Rob Hughes <robert.hughes@arm.com>
2019-07-02IVGCVSW-3382 Deprecate ResizeBilinear and use Resize with Bilinear methodAron Virginas-Tar
!android-nn-driver:1451 Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Ieedbce1f6e95891137a250fdd07e2f7e4e1f4828
2019-06-24IVGCVSW-3267 Add more code coverage to the PReLU layerMatteo Martincigh
* Added more unit tests to cover all code branches * Moved the InferOutput tests to separate files * Created convenience ARMNN_SIMPLE_TEST_CASE macro * Created TestUtils file for common utility functions Change-Id: Id971d3cf77005397d1f0b2783fab68b1f0bf9dfc Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
2019-04-19IVGCVSW-2925: Combine Pad with Convolution2d in the OptimizerNina Drozd
* Added new optimization for folding pad layer into convolution2d layer following it * Added new test in OptimizerTests.cpp * Added new optimization into All optimizations * Added call to new optimization in Optimize in Network.cpp * Updated CMakeLists.txt Signed-off-by: Nina Drozd <nina.drozd@arm.com> Change-Id: I682e07c71bbd42c49c02dda30a848a9ab2b16e7e
2019-01-25IVGCVSW-2556 Add Layer implementation for Detection PostProcessNarumol Prangnawarat
* Add DetectionPostProcessDescriptor. * Add implementation for DetectionPostProcessLayer. * Unit test to validate output. Change-Id: If63e83eb2a2978c549071c7aeb272906e7c35fe9
2019-01-22IVGCVSW-2509 Add GatherLayer implementationnarpra01
* implementation of ValidateTensorShapesFromInputs * unit tests Change-Id: I1ed88f8ba0ea20329a259c5f36caea4b1fbeb013
2019-01-04MLCE-77 Depthwise Convolution with depth multiplier > 1 doesn't workMatteo Martincigh
* 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
2018-12-11IVGCVSW-1434 Add debug mode to Optimizerkeidav01
* Modified optimizer to support debug mode via DebugLayer Change-Id: Ic8f313778e55540c182cf99876c44a0823be04c6
2018-11-16IVGCVSW-2092 Port LSTMCell::Eval to ArmNNMatteo Martincigh
* 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
2018-11-02IVGCVSW-1946: Remove armnn/src from the include pathsAron Virginas-Tar
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
2018-10-27IVGCVSW-2083 - Add DataLayout parameter to calculate the expected output ↵narpra01
shape in ValidateTensorShapesFromInputs * Convolution2dLayer * DepthwiseConvolution2dLayer * Pooling2dLayer * ResizeBilinearLayer * Unittests for ValidateTensorShapesFromInputs Change-Id: I057caf8a90d822175a7dd7271f960b65c6154bb4
2018-10-10IVGCVSW-1900 : CL backend folder structureDavid Beck
* moving backends/ClWorkloads to backends/cl * and moving pure Cl workload related code to backends/cl/workloads Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129
2018-09-17IVGCVSW-1807 : change license text in file headersDavid Beck
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
2018-08-31Release 18.08telsoa01
2018-03-29Release 18.03surmeh01