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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2019-10-29 13:13:19 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-10-31 22:26:59 +0000 |
| commit | 62eeb53a5eee9d388a6074553175909fd1b441b5 (patch) | |
| tree | 62e051ba5b4f73adb5ba909d623fd0323d2704e9 /arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h | |
| parent | 44bfc3fe8dacfc4297702ca88323ea675a7c52e2 (diff) | |
| download | ComputeLibrary-62eeb53a5eee9d388a6074553175909fd1b441b5.tar.gz | |
COMPMID-2266: [CL] add support for Log Softmax
Change-Id: I4a8f3519328553e24cbb4fe45a8ca4d47c90975d
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2182
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h index b272878fe7..04d94c041e 100644 --- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -25,6 +25,7 @@ #define __ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_H__ #include "arm_compute/core/CL/ICLSimple3DKernel.h" +#include "arm_compute/core/KernelDescriptors.h" #include <tuple> @@ -120,9 +121,9 @@ public: * @param[in,out] 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 - * @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.f + * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. */ - void configure(const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f); + void configure(const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, const SoftmaxKernelInfo &info); /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxShiftExpSumKernel * * @param[in] input Source tensor. Data types supported: F16/F32 @@ -178,9 +179,9 @@ public: * @param[in] input Source tensor. Data types supported: S32/F16/F32 * @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] beta (Optional) A scaling factor for the exponent. (Default = 1.0) + * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. */ - void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, float beta = 1.0f); + void configure(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 |