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authorGunes Bayir <gunes.bayir@arm.com>2024-04-09 23:13:04 +0100
committerGunes Bayir <gunes.bayir@arm.com>2024-04-11 12:58:45 +0000
commitcfca87b91def4f455630f2094447dc0500b6256c (patch)
tree9985ca8ad1910d48a84aa9781fe3156e614ff5f4 /docs
parentf1f1f87132690a8061801ef1a4638d637c780df7 (diff)
downloadComputeLibrary-cfca87b91def4f455630f2094447dc0500b6256c.tar.gz
Add SME2 implementation of softmax for FP16
In addition to the softmax kernel, this patch fixes minor issues in the fp32 implementation. Resolves: COMPMID-6920 Change-Id: Ibbd9f0af5f2a93fba0e92d72ba437279c34149d3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11402 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'docs')
-rw-r--r--docs/user_guide/release_version_and_change_log.dox2
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox
index b8910c9237..9da4956c43 100644
--- a/docs/user_guide/release_version_and_change_log.dox
+++ b/docs/user_guide/release_version_and_change_log.dox
@@ -45,7 +45,7 @@ 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.
+ - 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.