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| author | Michael Kozlov <michael.kozlov@arm.com> | 2024-04-17 14:34:46 +0100 |
|---|---|---|
| committer | Michael Kozlov <michael.kozlov@arm.com> | 2024-04-17 16:11:00 +0000 |
| commit | 5057ce9e1866ffa0388543d81af32083b5b1c684 (patch) | |
| tree | b33126d7e09292933b7e2f6400946d2edd8aaeb0 /docs/user_guide/release_version_and_change_log.dox | |
| parent | 83ca105b1fc8c440fe56e3389e8ffd7346612411 (diff) | |
| download | ComputeLibrary-5057ce9e1866ffa0388543d81af32083b5b1c684.tar.gz | |
Update documentation for 24.04 release
Change-Id: Ifec7015ad5712d8b84d65203a5fa21cbefcb04ad
Signed-off-by: Michael Kozlov <michael.kozlov@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11438
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: <felixjohnny.thomasmathibalan@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'docs/user_guide/release_version_and_change_log.dox')
| -rw-r--r-- | docs/user_guide/release_version_and_change_log.dox | 9 |
1 files changed, 4 insertions, 5 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..b29b81580d 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -43,15 +43,14 @@ If there is more than one release in a month then an extra sequential number is 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 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 |