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Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: Id4bdc31e3e6f18ccaef232c29a2d2825c915b21c
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I5bd0f186aaed675885d667f47e1e210ee9ec84f8
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This reverts commit 52e90bf59ecbe90d33368d8fc1fd120f07658aaf.
Change-Id: I5a0d244593d8e760ee7ba0c9d38c02377e1bdc24
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Iebbbaff38cc9c347b25eb2f9054c914a4f931c68
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When creating a flatbuffers model, we need to provide an empty buffer 0 that is
reserved by tensorflow. When creating empty buffers for inputs and outputs we
can not pass in an empty vector, or tflite will assume that we know how many bytes to
allocate in advance. Instead we need to only pass in the builder.
* Update libraries in FindTfLite.cmake
* Add nullptr to delegate struct for OpaqueDelegateBuilder
* Fix issue in unit tests where Flatbuffers model was not being parsed by tflite
* Tensorflow 2.12 now includes C++ 17 features. Update our cmake build
to require a compiler to support these features.
* Change minimum cmake in Arm NN to 3.7 as that's the minimum for the
delegate build.
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I7d15b196b8c59b1914f8fc1c4c2f8960630c069c
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aync execution
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I6f921feaf591f0a1e27c373bb708c7ec8dfcbe43
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* Instead of extending ArmnnDevice with ArmnnDriver make it a member
* This will allow us to construct the ArmnnDriver and return a
DEVICE_UNAVAILABLE NN_ERROR instead of segfaulting with the
armnn::InvalidArgumentException if we cannot create a device
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Ibbcdbeb33dfd170dd1fb393204620e5b9e6342b8
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* .o files were being installed by cmake.
Change-Id: Ie2056e09b4800fe208d784a90f3908d508b8cadf
Signed-off-by: Francis Murtagh <francis.murtagh@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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* Flatbuffer version updated to 2.0.6
* Android NDK version updated to r25
* Removed cross-compilation guide as its been moved to build-tools
* Android binaries updated in Readme
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia7054707c9463d8ce8b344ec5d86fdd83424b2c3
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* Add flags -Wno-c99-designator and -Wno-unused-but-set-variable
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I7b1a1a353a0474d7ef967f6f3c8d13c36fa31844
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* Update feature level support to FL6
* Add ConvertBatchMatMul function
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I93a77ba869bcddf432229a20e619304305d3982e
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I6f2b52f7277215c97be3d53969a9eaef137e3636
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* AddConv and AddDWConv with weights and bias
* ResizeBilinearDescriptor
* b,blacklist option in accuracy tool
!android-nn-driver:8172
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ibbc04fd18be7f938b11590bf67cd7af103cb4d99
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* Move the Conv2D and DepthwiseConv2D validation to Optimization level
when the weights and tensors are as constant inputs
* Take into account offset and scales values when doing INT8 to FP32 dequantization
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I1f81f15640395ac041923b10dbe9151159715117
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* Load the tuning file when GpuAcc is selected as a backend.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I1d6b0237a87301f07681293a2c6dbc37e352dd28
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* Fixed caching issue.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ic7b3e0bd4438b2fd1b3dbfa86b6c89d625bbf9dd
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* Fixed model converting issue
* Fixed import memory issue
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ied61810b308e0c5d5754f122a6ea2bac1d0725f1
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* Android.bp file gets picked up by older Android versions so
rename it to "switch it off" and update guide on how to enable it
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I1fc59a0d0dc2e6ce9cdc19f94b0b34d08d414351
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* Templated the DumpTensor() function based on tensor type
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I08775e480f89010be61daf0a09a2ab0274e05978
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Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Change-Id: I97dee6982e0a7be01c13e9e803c0997547a39ff1
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* Enabled import host memory in SL as default
* Updated import host memory functionality in GpuAcc
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I22132b1e1008159b0e7247219762e3e9ae5eba10
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I20e22821b6d4532953ddec2a8eac2a0f09e8013b
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8b05fb1e6ba31e46bf23ebfdaf55142dbe17980e
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ifd5ad4d4ca553e3f58ea246a0ac3c6e6b8b31215
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* Updated Serializer CMakeLists.txt to build armnnSerializerObj
* Added constant tensors as input support to SL
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I22f6cf50147d99a01f7fe70d7446b114a4c57af3
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