commit a0205b987509d239b1635024fe8f334a4534f56e
author Sang-Hoon Park <sang-hoon.park@arm.com> Tue Jul 07 09:36:09 2020 +0100
committer Sang-Hoon Park <sang-hoon.park@arm.com> Wed Jul 08 10:00:17 2020 +0000
tree b1751b74d14073d2c711de486d3f0efb1a4d2c6c
parent f9b595adbdc3f6f51ffa2c1f2aa70d0262d0db2d

COMPMID-3574: add logarithm to LogSoftmaxLayer

Missed logarithm for the summation is added to NEON, CL and reference
backends. To avoid complex changes, log softmax layer on CL backend
doesn't support quantized data types. Tests and doxygen comments
are modified accordingly.

Change-Id: Iafd29291be8b81345cb4999b2668dbc3ae0c3345
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3517
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h

diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
index b174f49..bd544e1 100644
--- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
@@ -203,7 +203,7 @@
     CLLogits1DNormKernel &operator=(CLLogits1DNormKernel &&) = default;
     /** Set the input and output tensors.
      *
-     * @param[in]  input  Source tensor. Data types supported: S32/F16/F32
+     * @param[in]  input  Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported.
      * @param[in]  sum    Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
      * @param[out] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
      * @param[in]  info   Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
@@ -212,7 +212,7 @@
     /** Set the input and output tensors.
      *
      * @param[in]  compile_context The compile context to be used.
-     * @param[in]  input           Source tensor. Data types supported: S32/F16/F32
+     * @param[in]  input           Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported.
      * @param[in]  sum             Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
      * @param[out] output          Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
      * @param[in]  info            Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.
@@ -220,7 +220,7 @@
     void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, const SoftmaxKernelInfo &info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DNormKernel
      *
-     * @param[in] input  Source tensor. Data types supported: S32/F16/F32
+     * @param[in] input  Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported.
      * @param[in] sum    Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
      * @param[in] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
      * @param[in] info   Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo.