commit 35c3eb011d8e2813d83c6a6cbe28a446534e4a14
author Gian Marco Iodice <gianmarco.iodice@arm.com> Mon Sep 02 09:52:12 2019 +0100
committer Gian Marco Iodice <gianmarco.iodice@arm.com> Mon Sep 02 11:44:12 2019 +0100
tree 71a585101ef5125bf04b835cffbce5efc0796843
parent bf94516db968de2f4d839786afc84840ac495ea1

COMPMID-2642: Update documentation for 19.08

Change-Id: I17c0368f7d1e6bf60bfe2f8a54546aec398baaf6
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1849
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

docs/00_introduction.dox

diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index 9c8eaf2..ca9e7e3 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -248,9 +248,14 @@
     - CLGEMMTranspose1xWKernel / CLGEMMTranspose1xW
     - CLWidthConcatenateLayer
  - New NEON kernels / functions:
+    - @ref NEAbsLayer
     - @ref NECast
+    - @ref NEElementwisePower
+    - @ref NELogLayer
     - @ref NELSTMLayerQuantized
+    - @ref NENegLayer
     - @ref NEPReluLayer
+    - @ref NESinLayer
     - @ref NEBatchConcatenateLayerKernel
     - @ref NEDepthToSpaceLayerKernel / @ref NEDepthToSpaceLayer
     - @ref NEDepthwiseConvolutionLayerNativeKernel
@@ -258,8 +263,13 @@
     - @ref NEMeanStdDevNormalizationKernel / @ref NEMeanStdDevNormalizationLayer
     - @ref NESpaceToDepthLayerKernel / @ref NESpaceToDepthLayer
  - New OpenCL kernels / functions:
+    - @ref CLAbsLayer
+    - @ref CLElementwisePower
+    - @ref CLLogLayer
     - @ref CLLSTMLayerQuantized
+    - @ref CLNegLayer
     - @ref CLPReluLayer
+    - @ref CLSinLayer
     - @ref CLBatchConcatenateLayerKernel
     - @ref CLDepthToSpaceLayerKernel / @ref CLDepthToSpaceLayer
     - @ref CLGEMMLowpMatrixMultiplyNativeKernel
@@ -271,6 +281,9 @@
     - neon_opticalflow
     - cl_cache
     - neon_permute
+ - Added support for FP16 in @ref NEDeconvolutionLayer
+ - Added support for FP16 in @ref CLDeconvolutionLayer
+ - Added support for REDUCE_MIN and REDUCE_MAX in @ref ReductionOperation
  - Enable the fusion of batch normalization with convolution and depthwise convolution layer for FP32 in the graph API (OpenCL only)
  - Added support for fusing activation function and broadcast addition with the matrix multiplication for FP32 (OpenCL only)
  - Re-factored the depthwise convolution layer kernel on NEON for generic cases
@@ -280,6 +293,7 @@
  - The @ref NEDepthwiseConvolutionLayer3x3 will be replaced by @ref NEDepthwiseConvolutionLayerOptimized to accommodate for future optimizations.
  - Removed inner_border_right and inner_border_top parameters from @ref CLDeconvolutionLayer interface
  - Removed inner_border_right and inner_border_top parameters from @ref NEDeconvolutionLayer interface
+ - Optimized the NEON assembly kernel for GEMMLowp. The new implementation fuses the output stage and quantization with the matrix multiplication kernel
 
 v19.05 Public major release
  - Various bug fixes.