Releases: ARM-software/armnn
Releases · ARM-software/armnn
Release 18.05.02
This patch release updates the Arm NN makefiles to allow it to build on both Android O and P.
Release 18.05.01
- Fixed broken links for developer.arm guides
- Added build guide for ArmNN using Android NDK
Release 18.05
This release of Arm NN integrates the latest Compute Library and adds improvements to thread-safety, memory consumption and overall performance.
New Features:
- In general, the amount of RAM needed for a loaded network has been reduced by 20-30% compared to release 18.03.
- The latest 8-bit quantized operations from Compute Library have been integrated. In testing, 8-bit quantized mobilenets models are 3x faster compared to release 18.03.
- It is now supported to load and unload graphs simultaneously from multiple threads. In other words, the methods IRuntime::LoadNetwork() and IRuntime::UnloadNetwork() are thread-safe.
Public API Changes:
- IsConvolution2dSupported requires additional TensorInfo arguments describing the output and bias tensors.
Other changes:
- This release of ArmNN requires at least release 18.05 of the Compute Library.
- Fixed an issue where pooling operations with different pooling width and height would produce the wrong output.
- Fixed an issue in the Caffe parser where BatchNormalization would return the wrong results when the rolling average factor was non-zero.
- Fixed the known issue in 18.03 where the multiplication layer could not support tensors of different shapes.
Release 18.03
This release of Arm NN adds armnnTfParser, a library for loading Tensorflow Protobuf files into Arm NN. See src/armnnTfParser.
Other changes:
- Fixed an issue where memory used by OpenCL objects would increase on every call to LoadNetwork
- Fixed an issue where the output from a Merger layer being used as input to another Merger layer would cause a runtime error.
Known issues:
- A MultiplicationLayer with inputs of different sizes will not execute on the CpuAcc (NEON) backend. This is due to a limitation of Compute Library v18.03 which will be fixed in a future release.
Release 18.02
Release 18.02