commit b49a7153c901b5c523a3d07815b79a4f460533b1
author Pablo Tello <pablo.tello@arm.com> Tue Jul 11 16:31:35 2017 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Mon Sep 17 14:16:42 2018 +0100
tree 5f6c58964365be1f49b444c794de071d6ca09417
parent f7629cf5637c9939877fc0f53a4ad56587069172

COMPMID-421: Added FP16 support to Softmax.

Change-Id: If48178689e7cdadf1858556438c7292128be5b92
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80436
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>

arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h

diff --git a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
index 53eef8d..2caef55 100644
--- a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
@@ -39,7 +39,7 @@
     NELogits1DMaxKernel();
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. Data types supported: QS8/QS16/F32.
+     * @param[in]  input  Source tensor. Data types supported: QS8/QS16/F16/F32.
      * @param[out] output Destination tensor. Data types supported: same as @p input
      */
     void configure(const ITensor *input, ITensor *output);
@@ -74,7 +74,7 @@
     ~NELogits1DShiftExpSumKernel() = default;
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. Data types supported: QS8/QS16/F32.
+     * @param[in]  input  Source tensor. Data types supported: QS8/QS16/F16/F32.
      * @param[in]  max    Max values tensor. Data types supported: same as @p input.
      * @param[out] output Destination tensor. Data types supported: same as @p input.
      * @param[out] sum    Sum of 1D logits tensor. Data types supported: same as @p input.
@@ -113,7 +113,7 @@
     ~NELogits1DNormKernel() = default;
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. Data types supported: QS8/QS16/F32.
+     * @param[in]  input  Source tensor. Data types supported: QS8/QS16/F16/F32.
      * @param[in]  sum    Sum tensor. The number of dimensions should be dim(input)-1. Data types supported: same as @p input.
      * @param[out] output Destination tensor. Data types supported: same as @p input.
      */