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-rw-r--r--docs/user_guide/release_version_and_change_log.dox20
1 files 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.