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* Opaque delegate was broken by https://review.mlplatform.org/c/ml/armnn/+/10493/
* Updated ArmNN minor version in pyarmnn
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I9eb3a2901c9383b95079b092e05373680781b1ab
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* This updates checks in pyarmnn to new version
* Updates documents to newer version
Change-Id: If1321ea4e74a10993b205cce1d3618844b0ddc06
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
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* Done as part of 22.11/23.02 innovation days.
* IsLayerSupported() is called in model prepare (delegate, android-nn-driver and shim/support_library)
and again in ArmNN once model otimization is performed.
* From calling IsLayerSupported() the first time, we should know that the layers are supported
and what backend they are supported on.
* Solution is to set the BackendId of the IConnectableLayer when IsLayerSupported() is called the first time,
* In the Optimize() function we then check if the backend is set. If so, we do not call IsLayerSupported() again.
* In the case a layer that is supported gets optimized, then the BackendId of that layer get set to "Unknown"
for the new optimized layer and IsLayerSupported() will get called on the newly optimized layer.
* Includes bug fix IVGCVSW-7213 for Android Mean FP16 CpuAcc tests. Also related to bug IVGCVSW-7211.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I7a7820d0cdb079ffb5a3a2e0c44e252f652df53b
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* Added transpose parameters to pre-transpose each input tensor's slices
* Added adjoint parameters to pre-adjoint each input tensor's slices
* Small refactoring (BatchMatMulDescriptor static helpers and BatchMatMulImpl constructor)
* Updated input validation and output shape inference for parameters
* Additional layer unit tests for parameters added
* Versionings incremented
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667
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This reverts commit a0f8b15d4ddb5075f380003ff31b271d389d3b66.
Reason for revert: <Test ClDmaBufInternalTests review >
Change-Id: Ibc4a77fa008643849da7330391942e4c87b941e2
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This reverts commit 03bf98a8bc51ad20eef4b9ca5fbf6ce15e063721.
Reason for revert: Caused failures in tests located in internal repo.
Change-Id: If35cb0ede349b270e4e7827324382e09455d8cfa
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Only one bool is used to indicate whether inputs should be imported.
However, its possible for the user to want to import inputs but not
export outputs. In addition it's possible for a user to enabled import
during optimize but then pass a memory source that does not require
import.
* Add m_ExportEnabled to INetwork.hpp.
* Modify Network::dNetwork to consider both m_ImportEnabled
and m_ExportEnabled.
* Add ValidateSourcesMatchOptimizedNetwork to LoadedNetwork to validate
import options between optimize and network load.
* Update the TfLite delegate consider exportEnabled flag in the
optimizer.
!armnn-internal-tests:425350
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I776eab81595898e43f91ab40306962eae61329f4
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* Updated ABI version to 29 due to being the first ABI break in 22.05
!android-nn-driver:7226
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I9c50007dcd5b5e792757e7bd1213606df5ffec36
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m_Layers
* Added IInputSlot, IOutputSlot and IConnectableLayer to SubgraphView
* Deprecated old member functions
* Removed deprecated calls in ArmNN
* Added GetOwningIConnectableLayer function to IOutputSlot
* Updates ArmNN Core Major version for IOutputSlot ABI break
* Updated Minor version of TfliteParser, OnnxParser and Delegate
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I2a8611bfabf5ae09d3602fe6a4bef166e18117b9
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* Add front end
* Add reference workload
* Add unit tests
* Add Serializer and Deserializer
* Update ArmNN Versioning
Signed-off-by: Simon Obute <simon.obute@arm.com>
Change-Id: I9ac1f953af3974382eac8e8d62d794d2344e8f47
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* Add front end
* Add reference workload
* Serialization/Deserialization
* Add unit tests
* Update ArmNN Versioning
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I6fcb1fa341d6f08dea4003b13544e6e9f53fefd3
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TfLiteDelegate support for FullyConnected Operator'
* Added front-end support for non-const weights for FULLY_CONNECTED operator
* Added FULLY_CONNECTED end-to-end test
* Updated FULLY_CONNECTED operator support in TfLite Arm NN Delegate for non-const weights
* Updated the version numbers
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iffa5b9aa9297aca4c02d923cce4636c88ac21faa
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* Update Arm NN version in Version.hpp and all guides
* Change Project Version in Doxyfile
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05ab20a1ae5d0376a641df68a5877f97e7609052
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* Updated setup.py to raise error on mandatory ext
* Updated examples section of main readme
* Added readme to img class
* Moved img class to new subdir
Change-Id: Iea5f6d87c97e571b8ca5636268231506538840c7
Signed-off-by: Éanna Ó Catháin <eanna.ocathain@arm.com>
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
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