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authorAnthony Barbier <anthony.barbier@arm.com>2018-01-22 18:48:55 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:43:42 +0000
commit64c95a0d7fccb114ce56c9890bbcaf2d7da65668 (patch)
treeadc4078137afabd86de82e4253a70543a5a2ae12 /docs/00_introduction.dox
parent657fb9975c2d162e769df293c77f4eb1282f9f43 (diff)
downloadComputeLibrary-64c95a0d7fccb114ce56c9890bbcaf2d7da65668.tar.gz
COMPMID-765: Updated changelog before 18.01
Change-Id: I0ec722803e8c32c0e284f219e996d7e60bc0d82e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/117192 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
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@@ -189,6 +189,34 @@ If there is more than one release in a month then an extra sequential number is
@subsection S2_2_changelog Changelog
+v18.01 Public maintenance release
+ - Various bug fixes
+ - Added some of the missing validate() methods
+ - Added @ref arm_compute::CLDeconvolutionLayerUpsampleKernel / @ref arm_compute::CLDeconvolutionLayer @ref arm_compute::CLDeconvolutionLayerUpsample
+ - Added @ref arm_compute::CLPermuteKernel / @ref arm_compute::CLPermute
+ - Added method to clean the programs cache in the CL Kernel library.
+ - Added @ref arm_compute::GCArithmeticAdditionKernel / @ref arm_compute::GCArithmeticAddition
+ - Added @ref arm_compute::GCDepthwiseConvolutionLayer3x3Kernel / @ref arm_compute::GCDepthwiseConvolutionLayer3x3
+ - Added @ref arm_compute::GCNormalizePlanarYUVLayerKernel / @ref arm_compute::GCNormalizePlanarYUVLayer
+ - Added @ref arm_compute::GCScaleKernel / @ref arm_compute::GCScale
+ - Added @ref arm_compute::GCWeightsReshapeKernel / @ref arm_compute::GCConvolutionLayer
+ - Added FP16 support to the following GLES compute kernels:
+ - @ref arm_compute::GCCol2ImKernel
+ - @ref arm_compute::GCGEMMInterleave4x4Kernel
+ - @ref arm_compute::GCGEMMTranspose1xWKernel
+ - @ref arm_compute::GCIm2ColKernel
+ - Refactored NEON Winograd (@ref arm_compute::NEWinogradLayerKernel)
+ - Added @ref arm_compute::NEDirectConvolutionLayerOutputStageKernel
+ - Added QASYMM8 support to the following NEON kernels:
+ - @ref arm_compute::NEDepthwiseConvolutionLayer3x3Kernel
+ - @ref arm_compute::NEFillBorderKernel
+ - @ref arm_compute::NEPoolingLayerKernel
+ - Added new examples:
+ - graph_cl_mobilenet_qasymm8.cpp
+ - graph_inception_v3.cpp
+ - gc_dc.cpp
+ - More tests added to both validation and benchmarking suites.
+
v17.12 Public major release
- Most machine learning functions on OpenCL support the new data type QASYMM8
- Introduced logging interface