diff options
Diffstat (limited to 'docs/user_guide/release_version_and_change_log.dox')
| -rw-r--r-- | docs/user_guide/release_version_and_change_log.dox | 15 |
1 files changed, 9 insertions, 6 deletions
diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox index 3737dbfc33..f493ff631e 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -41,17 +41,20 @@ If there is more than one release in a month then an extra sequential number is @section S2_2_changelog Changelog +v24.05 Public major release + - Add @ref CLScatter operator for FP32/16, S32/16/8, U32/16/8 data types + - Various fixes to enable FP16 kernels in armv8a multi_isa builds. + v24.04 Public major release - Add Bfloat16 data type support for @ref NEMatMul. - - Optimize start-up time of @ref NEConvolutionLayer for some input configurations where GeMM is selected as the convolution algorithm - - Optimize @ref NEConvolutionLayer for input tensor size > 1e7 bytes and weight tensor height > 7 - - Add support for SoftMax in SME2 for FP32 and FP16. - - Performance optimizations: - - Optimize @ref NESoftmaxLayer for axis != 0 by natively supporting higher axes up to axis 3. + - Add support for SoftMax in SME2 for FP32, FP16, QASYMM8 and QASYMM8_SIGNED. - Add support for in place accumulation to CPU GEMM kernels. - Add low-precision Int8 * Int8 -> FP32 CPU GEMM which dequantizes after multiplication - Add is_dynamic flag to QuantizationInfo to signal to operators that it may change after configuration - + - Performance optimizations: + - Optimize start-up time of @ref NEConvolutionLayer for some input configurations where GeMM is selected as the convolution algorithm + - Optimize @ref NEConvolutionLayer for input tensor size > 1e7 bytes and weight tensor height > 7 + - Optimize @ref NESoftmaxLayer for axis != 0 by natively supporting higher axes up to axis 3. v24.02.1 Public patch release - Fix performance regression in fixed-format kernels |