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path: root/src/backends/neon/workloads
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2019-05-23IVGCVSW-2771 Fix SubTensor error in vgg16 ExecuteNetwork NEONNarumol Prangnawarat
* Add check if Sub-tensors cannot be used, call ACL function * Add computation of SplitAxis from SplitterDescriptor * Add NeonSplitterWorkload functions * Modify IsSplitterSupported to call ACL validate function if sub-tensor cannot be used * Also check if quantization parameters match when using sub-tensors * Add more unit tests for Splitter in TfParser and TfLiteParser Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I31e4c7d055117c83c65b598c4125442173242226
2019-05-20IVGCVSW-3117 Rename NeonMergerWorkload to NeonConcatWorkloadJim Flynn
Change-Id: I9a373a31bfabbe0f691d7f9e240ac08e072b2c7d Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2019-05-14MLCE-101 Add dilation support for DepthWiseConv workloadBruno Goncalves
Adds unit tests for dilated depthwise conv Change-Id: Iad0a1b33d07fb0ef8f9f6edf0fd0f83a5800a36d Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com> Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
2019-05-13MLCE-101: Adding dilation support in conv and dconvPablo Tello
Added support for dilation in DepthwiseConvolution2d in the Neon and CL backends. Change-Id: Ie1522b498c07f80d6efcf9dc79e926c8cfa06ca5 Signed-off-by: Pablo Tello <pablo.tello@arm.com>
2019-04-16IVGCVSW-2957 MergerLayer subtensor optimization now backend agnosticDerek Lamberti
+ Update clframework pin + Cl and Neon Merger workloads updated to use MemoryLayout agnostic API + Workloads only use sub-tensor optimization if ALL input tensors are sub-tensors + Refactor LayerSupportCommon code to be a bit more succinct Change-Id: Ib61ad4ccbd767e924dff07e61022e0cda4069828 Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-04-16IVGCVSW-2425 Add unit test for Logistic (Sigmoid) in NEONNarumol Prangnawarat
Change-Id: I557b76ea8c066161f3eb866daabca63694d46f4e Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
2019-03-15IVGCVSW-2354 Caffe SqueezeNet through armnn Cl and NeonNarumol Prangnawarat
* Compute Softmax Acl axis for Cl and Neon * Add unittests for Softmax in 3D and 4D * Correct input and output layer names in CaffeSqueezeNet inference test Change-Id: I2d369d9a2db19c40f2af3341039dd33f0c5637b1 Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
2019-03-11IVGCVSW-2792 Update Neon Mul/Sub workload for latest CL masterConor Kennedy
* Update Neon Subtraction/Multiplication to use BaseWorkload * Add Uint8 tests for Subtraction/Multiplication Change-Id: Ied2aa048924817a4db0025b9bd9e54151667bd74 Signed-off-by: Conor Kennedy <conor.kennedy@arm.com>
2019-01-31MLCE-90 Fixing issues with NEON pad testsÉanna Ó Catháin
Change-Id: I3e971c66798610d2c96445fa3babb7cc90cf8031 Signed-off-by: Éanna Ó Catháin <eanna.ocathain@arm.com>
2019-01-29IVGCVSW-2447 Add Greater Workload to Neonkevmay01
Change-Id: Ic165061cc61534e7e391a398ea7c2918240e2d3b
2019-01-25MLCE-84 Add Neon Pad support and unit testsÉanna Ó Catháin
Change-Id: I0d949a9f23a61af5013efdd18572b29fae585f2a
2019-01-23IVGCVSW-1048 RESIZE_BILINEAR NEON operatorSadik Armagan
* Implemented NeonResizeBilinearWorkload * Enable ResizeBilinear Operator unit tests for Neon !android-nn-driver:405 Change-Id: Iec3100ccaf7d246e8eaf683d1f3ec9191df5241e
2019-01-09IVGCVSW-2441 Add Minimum operator support (NEON)Conor Kennedy
Change-Id: I0bc48f118aba419abb659657b83224401fac0715
2019-01-08Refactor: Don't include all ComputeLibrary function definitions everywhere.Matthew Bentham
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
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
2019-01-02IVGCVSW-2205 Reversed workaround for COMPMID-1813Mohamed Nour Abouelseoud
Change-Id: Icf7ef88a2eaef80ec32cc718b0ca9d26e830ed07
2019-01-02MLCE-82 Add Neon Mean support and unit testsMatthew Bentham
Factor out new BuildArmComputeReductionCoordinates function from CL backend into ArmComputeTensorUtils. Update NEON LayerSupport and WorkloadFactory objects Change-Id: Icc975ec699199bffafbdb207323df509d35e1e04
2018-12-31MLCE-80 Remove strong typing from NeonBatchNormalizationMatthew Bentham
Technical debt work towards adding some new Neon workloads Change-Id: I08ab6dd14d0e89d4ebc8a878fb69caa5681012bf
2018-12-20IVGCVSW-2212 Add Neon support for Maximum operatorNattapat Chaimanowong
Change-Id: Iddae3486641d2d195827ae4e0a9dfa3f7ccd65e3
2018-12-10IVGCVSW-2354 Remove dimension validation from softmaxMohamed Nour Abouelseoud
Change-Id: I0d69a72df9e348cbeca690926485c050499d1051
2018-12-10MLCE-79 NEON QASYMM8 Addition SupportMatthew Bentham
Unit tests not yet added as need Compute Library a84faffd. Change-Id: Ica16df493e8d6a76da9d1f74bf43b8403f9dff62
2018-12-05IVGCVSW-2264 Move DataLayoutIndexed to armnnUtilsMatteo Martincigh
* 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
2018-12-03IVGCVSW-2118 L2Normalization ACL function used for NeonFrancisMurtagh
* Changed NeonL2Normalisation to use NEL2NormalizeLayer to normalise along the channel axis in either NCHW or NHWC format Change-Id: Ibaf119b6a3de3c0f80f94b1c5fe9a356cf1fbd0e
2018-11-27IVGCVSW-2205 Fixed a bug in DepthWiseConv workload where NCHW layout was assumedMohamed Nour Abouelseoud
Includes a temporary workaround for COMPMID-1813 Change-Id: I3e5217281be072d5b61788ab8a75e818bbc5d247
2018-11-19IVGCVSW-2169 Remove DataLayoutIndexed from public APIMatthew Bentham
Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
2018-11-19IVGCVSW-2043 - Merger using ACL for innermost concat axisNikhil Raj
* 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
2018-11-16IVGCVSW-2155 - Always call NEConvolutionLayer in NeonConvolution2dWorkloadnarpra01
* Remove check for preferDirectConvolution * Remove IsNeonDirectConvolutionPreferred * Remove unused tests and functions Change-Id: I3f0868f41403ec5fa740889e7bdcb4415ad77bda
2018-11-16IVGCVSW-2017: CLWorkload to use L2NormalizationFrancisMurtagh
* Changed ClL2Normalisation from using CLNormalizationLayer to use CLL2NormalizeLayer to normalise along the channel axis in either NCHW or NHWC format. Change-Id: I399cbee408a277d1ef8c6c85ebcbd86d6c3e407b
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
2018-10-22IVGCVSW-2024: Support NHWC for Pooling2D CpuRefJames Conroy
* 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
2018-10-22IVGCVSW-2023 CL and Neon implementation of BatchNorm with NHWCNikhil Raj
Change-Id: I962e986607e5d045cd97b9eaeaea2f5ae624db35
2018-10-22IVGCVSW-1951 Remove type templating from NeonDepthwiseConvolutionWorkloadNattapat Chaimanowong
Change-Id: I411d02949524eb802672d83ee281300c34b007c8
2018-10-22IVGCVSW-1951 Remove type templating from NeonConvolution2dWorkloadNattapat Chaimanowong
Change-Id: Id3d8137d60b14e93863ad5b6db752a7f6ef9b7fb
2018-10-22IVGCVSW-1951 Update NeonWorkloadUtilsNattapat Chaimanowong
Change-Id: I147dbf6811f84ec4588264d636a36efc8ec56f72
2018-10-22IVGCVSW-2003: Get rid of IsLayerSupportedNeon functions in favor of ↵Aron Virginas-Tar
ILayerSupport interface Change-Id: I03985ff678acf9393680340638a2e1f425b9966f
2018-10-22IVGCVSW-1998 : replace Compute enum in LayerSupport free functionsDavid Beck
!android-nn-driver:153490 Change-Id: I1c2a5f942e3a1c3626e093c90545ca27c64ba5e8
2018-10-22IVGCVSW-1951 Remove type templating from NeonConstantWorkloadNattapat Chaimanowong
Change-Id: Ib831f02ab6b5d96f1a959187d8f3e694e6257ae5
2018-10-22IVGCVSW-1938: Move backend-specific source files to the corresponding backendAron Virginas-Tar
Change-Id: I558a9a007604afc55e536d877f8da7d0215cc9c3
2018-10-22IVGCVSW-1951 Remove type templating from NeonPermuteWorkloadNattapat Chaimanowong
Change-Id: I4b3247fc7c5eb1c0cec5cf22c56d4c7a3f36d51a
2018-10-22IVGCVSW-1951 Remove type templating from NeonPooling2dWorkloadNattapat Chaimanowong
Change-Id: I65129a72d7585776797cfe0947a2a0f1f483b72f
2018-10-22IVGCVSW-1951 Remove type templating from NeonSplitterWorkloadNattapat Chaimanowong
Change-Id: Iace26e575d8eca50cc81a881b7bb5be46b00f1dc
2018-10-22IVGCVSW-1951 Remove type templating from NeonReshapeWorkloadNattapat Chaimanowong
Change-Id: I90bf3baaad725d121ca864b7a7bb0c74abb69daf
2018-10-22IVGCVSW-1922 Unit test for DepthwiseConvolution with NHWCNikhil Raj
Change-Id: I3e6e5b9a62f30d03c05bd7178adea8f4c8275da8
2018-10-22IVGCVSW-1951 Remove type templating from NeonMergerWorkloadNattapat Chaimanowong
Change-Id: I284a9aa6865cdbd6975c54b011d2cec15a174e79
2018-10-22IVGCVSW-1951 Remove type templating from NeonActivationWorkloadNattapat Chaimanowong
Change-Id: I564a743b4d90ae5364c5958eed3fbfba97782b80
2018-10-10IVGCVSW-1860 Support NHWC for Pooling2DFrancis Murtagh
Change-Id: I9059a292e47867df82a5efbba5808fd264949ec9
2018-10-10IVGCVSW-1985: Replace std::string* reasonIfNotSupported with ↵arovir01
Optional<std::string&> in IsLayerSupported implementations Change-Id: I2f054f0dcff9bdc86ee90c55b3e94c6b4ae25085
2018-10-10IVGCVSW-1964 : replace optional biases with home-grown OptionalDavid Beck
!android-nn-driver:151788 Change-Id: Ibdc41d09b8df05e7a0360dcb8a060860dfb1bd99
2018-10-10IVGCVSW-1889 - Unit test Convolution2d with NHWCFrancis Murtagh
* Added simple convolution Unit test * Set the data layout correctly in workloads Change-Id: Ie71b8415f6abc392a84900fc4438b7416fbb558a
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