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Signed-off-by: FinnWilliamsArm <Finn.Williams@arm.com>
Change-Id: Ia9bf55ca93e36ad7fa052b70e477cd46078e0a30
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Change-Id: Iaec6956b5c459308d77d29f699ae4558bee66cd5
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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* Fix issued caused by layers with 5x5 filters and depth multipliers > 1
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I58435a1f0e3c7e69861dc130fad525a01e2a849d
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* Add Neon Workload
* Update NeonWorkloads.hpp
* Update NeonWorkloadFactory
* Update NeonLayerSupport
* Update backends.mk and CMakeLists.txt
* Add NeonCreateWorkload test
* Enable LayerTest
!android-nn-driver:1685
Change-Id: Idd799bbf039acf0d59084d02c3b57766ce3691b5
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
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* Added Neon backend support for Stack
* Added unit tests for Stack on the Neon backend
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: I21379966a6303285f8b65418d0d4ac7982cc9f04
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Change-Id: I5cd90121e5fe1b49b394ee6f5a87e86520a30119
Signed-off-by: Pablo Tello <pablo.tello@arm.com>
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* Add check in CL and Neon to ensure axis is 1 otherwise
return unsupported.
* Edit CreateWorkload test and JsonPrinter test to ensure axis of 1.
Change-Id: I499b405532e26fefc2dd1c18b6dc6005813b5604
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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* Pad value for QASYMM8 is no longer stored in quantized form.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I048e1d233353c0560ae03a7cc1ed5199295352bc
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workloads
* Refactoring: use existing utility function for creating arm_compute::PadStrideInfo
objects in CL and NEON convolution workloads instead of duplicating code
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id5e5a0f264e20af99dabce8dd8c6b782dedb94e6
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* Renamed NeonResizeBilinearWorkload.* to NeonResizeWorkload.* and added support for ResizeNearestNeighbour
* Added CreateWorkload and LayerTests for Neon backend
Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>
Change-Id: I72f5340608a0928f8b32a41d1915ee2c35849f18
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* Update NeonConvolution2dWorkload
* Enable unit tests
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1709e71e4944c5cbdcc99a003479c1fce45a612a
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* Includes fixes for ResizeNearestNeighbor on CL and NEON
!android-nn-driver:1523
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I959e43cab21dce10a9072320fada11fcb57d41f2
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* Update neon lstm workload
* Add unit tests
* Add isLstmSupported
Change-Id: I493c159137f6544b0f2532d16d4fafd7a7e587e5
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
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* Add Neon backend support for SpaceToDepth
* Enabled Neon Unit, CreateWorkload and
EndToEnd tests for SpaceToDepth.
* Added QSymm16 support to NeonTensorHandle.
Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>
Change-Id: Ibbb0bce5ad77dace2bf4c4c111006d2fadf844e8
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Signed-off-by: FinnWilliamsArm <Finn.Williams@arm.com>
Change-Id: I685e17d2e721e4b0de50d88b04b63a5c2cfdc772
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* Updated ACL pin to latest master.
* Minor changes to Softmax Neon/CL uint8
workloads to reflect refactoring in ACL.
!android-nn-driver:1476
Change-Id: I1c5005ddbcccdb41d8cb09d3fa61cf3ce0e9ffdb
Signed-off-by: James Conroy <james.conroy@arm.com>
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Change-Id: I2f92f7336d3b4188962a9d08b0e7c6372b1c648f
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
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* Update SoftMaxUint8Workload for CL and NEON to deal with
quantization parameters as vectors.
* Change Sigmoid Activation function QAsymm8 tests to use
scale=1.f/256.f and offset=0 as quatization output parameters.
!android-nn-driver:1417
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Change-Id: Ief91f10193fbbbad0c0124ece41f0bf4e0dcd992
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Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Change-Id: I938d97e6a2bfab8ff5f4548efeeaa43b7f5ccda2
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Change-Id: Ia68da09d8f0fb0a04af9cb61062d7edaa5f1b887
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Updated the pinned CL revision
* Changed the type for axis in L2Norm workloads
!clframework:d7dd15c445397ab879439de6659859db09f4b752
!android-nn-driver:1268
Change-Id: Ib568869ae8259c4c7d62fc8b434c74a7f8242988
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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* Add NeonDequantizeWorkload
* Add IsDequantizeSupported to call validate from ACL function
* Add CreateDequantize to NeonWorkloadFactory
* Unit tests
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I96a216ef78cc3f6a57aa439a16ae6aafd783ff93
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* Added NeonQuantizeWorkload to ArmNN
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I41f8707dda35c894841eddae2d3b78f088038c8e
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!android-nn-driver:1210
Change-Id: I940b3b9e421c92bfd55ae996f7bc54ac077f2604
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* 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
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Change-Id: I9a373a31bfabbe0f691d7f9e240ac08e072b2c7d
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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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>
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Added support for dilation in DepthwiseConvolution2d in the
Neon and CL backends.
Change-Id: Ie1522b498c07f80d6efcf9dc79e926c8cfa06ca5
Signed-off-by: Pablo Tello <pablo.tello@arm.com>
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+ 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>
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Change-Id: I557b76ea8c066161f3eb866daabca63694d46f4e
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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* 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>
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* 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>
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Change-Id: I3e971c66798610d2c96445fa3babb7cc90cf8031
Signed-off-by: Éanna Ó Catháin <eanna.ocathain@arm.com>
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Change-Id: Ic165061cc61534e7e391a398ea7c2918240e2d3b
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Change-Id: I0d949a9f23a61af5013efdd18572b29fae585f2a
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* Implemented NeonResizeBilinearWorkload
* Enable ResizeBilinear Operator unit tests for Neon
!android-nn-driver:405
Change-Id: Iec3100ccaf7d246e8eaf683d1f3ec9191df5241e
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Change-Id: I0bc48f118aba419abb659657b83224401fac0715
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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
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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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Change-Id: Icf7ef88a2eaef80ec32cc718b0ca9d26e830ed07
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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: Iddae3486641d2d195827ae4e0a9dfa3f7ccd65e3
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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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* 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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* Changed NeonL2Normalisation to use NEL2NormalizeLayer to
normalise along the channel axis in either NCHW or NHWC format
Change-Id: Ibaf119b6a3de3c0f80f94b1c5fe9a356cf1fbd0e
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Includes a temporary workaround for COMPMID-1813
Change-Id: I3e5217281be072d5b61788ab8a75e818bbc5d247
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Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
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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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