Hello,
The 23.08 release of Compute Library is out and comes with a collection of improvements and new features.
Source code and prebuilt binaries are available at: https://github.com/ARM-software/ComputeLibrary/releases/tag/v23.08
[https://opengraph.githubassets.com/6f01aff4f7ab61ec8b32d60f2ac777cf469f2c194...]https://github.com/ARM-software/ComputeLibrary/releases/tag/v23.08 Release v23.08 · ARM-software/ComputeLibraryhttps://github.com/ARM-software/ComputeLibrary/releases/tag/v23.08 Public major release Documentation (API, changelogs, build guide, contribution guide, errata, etc.) available here: https://arm-software.github.io/ComputeLibrary/v23.08/ github.com
Highlights of the release:
* Rewrite CLArgMinMaxLayer for axis 0 and enable S64 output. * Add multi-sketch support for dynamic fusion. * Break up arm_compute/core/Types.h and utils/Utils.h a bit to reduce unused code in each inclusion of these headers. * Add Fused Activation to CLMatMul. * Implement FP32/FP16 opencl::kernels::ClMatMulNativeMMULKernel using the MMUL extension. * Use MatMul in fully connected layer with dynamic weights when supported. * Optimize CPU depthwise convolution with channel multiplier. * Add support in CpuCastKernel for conversion of S64/U64 to F32. * Add new OpenCL™ kernels: opencl::kernels::ClMatMulNativeMMULKernel support for FP32 and FP16, with batch support * Enable transposed convolution with non-square kernels on CPU and GPU. * Add support for input data type U64/S64 in CLCast. * Add new Compute Kernel Writer (CKW) subproject that offers a C++ interface to generate tile-based OpenCL code in just-in-time fashion. * Port the following kernels in the experimental Dynamic Fusion interface to use the new Compute Kernel Writer interface with support for FP16/FP32 only: experimental::dynamic_fusion::GpuCkwActivation experimental::dynamic_fusion::GpuCkwCast experimental::dynamic_fusion::GpuCkwDirectConv2d experimental::dynamic_fusion::GpuCkwElementwiseBinary experimental::dynamic_fusion::GpuCkwStore
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