From c20e7a9bf9afbcfb3cfbdca6966f353dd39f4a92 Mon Sep 17 00:00:00 2001 From: Omar Al Khatib Date: Wed, 10 May 2023 11:45:20 +0100 Subject: Update release notes for the 23.05 release. Partially resolves: [COMPMID-5888] Signed-off-by: Omar Al Khatib Change-Id: I0313af488050d2babb47b3e164c111e11d84021f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9605 Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: SiCong Li Benchmark: Arm Jenkins --- docs/user_guide/release_version_and_change_log.dox | 20 ++++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox index 80cf3ae575..59f19d4ffd 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -41,10 +41,22 @@ If there is more than one release in a month then an extra sequential number is @section S2_2_changelog Changelog v23.05 Public major release - - Deprecate dynamic block shape in @ref NEBatchToSpaceLayer - - Deprecate dynamic block shape in @ref CLBatchToSpaceLayer - - New Arm® Neon™ kernels / functions : - - NEReorderLayer (aarch64 only) + - New features: + - Add new Arm® Neon™ kernels / functions: + - @ref NEMatMul for QASYMM8, QASYMM8_SIGNED, FP32 and FP16, with batch support. + - NEReorderLayer (aarch64 only) + - Add new OpenCL™ kernels / functions: + - @ref CLMatMul support for QASYMM8, QASYMM8_SIGNED, FP32 and FP16, with batch support. + - Add support for the multiple dimensions in the indices parameter for both the Arm® Neon™ and OpenCL™ implementations of the Gather Layer. + - Add support for dynamic weights in @ref CLFullyConnectedLayer and @ref NEFullyConnectedLayer for all data types. + - Add support for cropping in the Arm® Neon™ and OpenCL™: implementations of the BatchToSpace Layer for all data types. + - Add support for quantized data types for the ElementwiseUnary Operators for Arm® Neon™. + - Implement RSQRT for quantized data types on OpenCL™. + - Add FP16 depthwise convolution kernels for SME2. + - Performance optimizations: + - Improve CLTuner exhaustive mode tuning time. + - Deprecate dynamic block shape in @ref NEBatchToSpaceLayer and @ref CLBatchToSpaceLayer. + - Various optimizations and bug fixes. v23.02.1 Public patch release - Allow mismatching data layouts between the source tensor and weights for \link cpu::CpuGemmDirectConv2d CpuGemmDirectConv2d \endlink with fixed format kernels. -- cgit v1.2.1