Age | Commit message (Collapse) | Author |
|
* New folders created:
* common is for common code where TfLite API is not used
* classic is for existing delegate implementations
* opaque is for new opaque delegate implementation,
* tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use.
* Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so
* Opaque structure is introduced but no API is added yet.
* CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added
* Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE
* Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed
|
|
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
|
|
* Conv3d is only correctly supported for external delegates
from TF v2.6, as there was a breaking bug in v2.5.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib7941307f4c7b0d3dbb7deaa5a90aceb63c1162f
|
|
* Reading tensor infos won't allow a permutation vector anymore.
The permutation only changed the quantization dimension not the
shape and was therefore misleading
* The permutation of the full tensor info is now performed in
armnnUtils::Permuted
* Changed TfLite Parser depthwise parsing function
* Added unit tests to TfLite Parser with more random data
* Changed TfLite Delegate depthwise parsing function
* Added unit test to the delegate with per channel quantization
!android-nn-driver:5412
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1f985ee69547bcaf16a72201e00a6b6fe1ef9a97
|
|
* Fix Arm Android Compiler errors
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: If5fae0fda08b6102eb46217564a096f87a3b6740
|
|
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ibfd1968a622c2538bbfacf4802cd45096de59db5
|
|
* Add Convolution, DepthwiseConvolution and TransposeConvolution
Signed-off-by: Kevin May <kevin.may@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I797e42844dfee0cc80beb64eabc3111b96320daf
|