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-rw-r--r--docs/00_introduction.dox12
1 files changed, 9 insertions, 3 deletions
diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index eb6130bda5..555cec5c35 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -195,6 +195,12 @@ If there is more than one release in a month then an extra sequential number is
@subsection S2_2_changelog Changelog
+v18.05 Public maintenance release
+ - Major redesign in the interface for the neon kernels implemented in assembly.
+ - Removed arm_compute::NEGEMMLowpAArch64A53Kernel / arm_compute::NEGEMMLowpAArch64Kernel / arm_compute::NEGEMMLowpAArch64V8P4Kernel / arm_compute::NEGEMMInterleavedBlockedKernel / arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore / arm_compute::NEHGEMMAArch64FP16Kernel
+ - Added NEGEMMAssemblyWrapper and AssemblyKernelGlue which are used to execute assembly kernels in neon functions.
+ - Minor changes to the CPUInfo type to make it compatible with the new assembly gemm interface.
+
v18.03 Public maintenance release
- Various bug fixes.
- Fixed bug in @ref NEActivationLayer
@@ -301,8 +307,8 @@ v17.12 Public major release
- @ref GCTransposeKernel / @ref GCTranspose
- New NEON kernels / functions
- - @ref NEGEMMLowpAArch64A53Kernel / @ref NEGEMMLowpAArch64Kernel / @ref NEGEMMLowpAArch64V8P4Kernel / NEGEMMInterleavedBlockedKernel / @ref NEGEMMLowpAssemblyMatrixMultiplyCore
- - @ref NEHGEMMAArch64FP16Kernel
+ - arm_compute::NEGEMMLowpAArch64A53Kernel / arm_compute::NEGEMMLowpAArch64Kernel / arm_compute::NEGEMMLowpAArch64V8P4Kernel / arm_compute::NEGEMMInterleavedBlockedKernel / arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore
+ - arm_compute::NEHGEMMAArch64FP16Kernel
- @ref NEDepthwiseConvolutionLayer3x3Kernel / @ref NEDepthwiseIm2ColKernel / @ref NEGEMMMatrixVectorMultiplyKernel / @ref NEDepthwiseVectorToTensorKernel / @ref NEDepthwiseConvolutionLayer
- @ref NEGEMMLowpOffsetContributionKernel / @ref NEGEMMLowpMatrixAReductionKernel / @ref NEGEMMLowpMatrixBReductionKernel / @ref NEGEMMLowpMatrixMultiplyCore
- @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel / @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint
@@ -340,7 +346,7 @@ v17.09 Public major release
- New validation and benchmark frameworks (Boost and Google frameworks replaced by homemade framework).
- Most machine learning functions support both fixed point 8 and 16 bit (QS8, QS16) for both NEON and OpenCL.
- New NEON kernels / functions:
- - @ref NEGEMMAssemblyBaseKernel @ref NEGEMMAArch64Kernel
+ - arm_compute::NEGEMMAssemblyBaseKernel arm_compute::NEGEMMAArch64Kernel
- @ref NEDequantizationLayerKernel / @ref NEDequantizationLayer
- @ref NEFloorKernel / @ref NEFloor
- @ref NEL2NormalizeLayerKernel / @ref NEL2NormalizeLayer