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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-06-23 18:03:44 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | e5f8fd64a46ce61dac61fd50095a27cfd94930b5 (patch) | |
| tree | 2b43d580730cfa4ae018d06660403622d08bd00b /arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h | |
| parent | 443c8b979518ad494b9e59648cbd061ebf37cba9 (diff) | |
| download | ComputeLibrary-e5f8fd64a46ce61dac61fd50095a27cfd94930b5.tar.gz | |
COMPMID-423: Port CLSoftmaxLayer to QS8
Change-Id: I759b7585656d018d7c864425118cd3ec2ca9b0eb
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78908
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h index 0806974ad6..024169a7c5 100644 --- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h @@ -36,8 +36,8 @@ class CLLogits1DMaxKernel : public ICLSimple2DKernel public: /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[out] output Destination tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/F16/F32 + * @param[out] output Destination tensor. Data types supported: same as @p input */ void configure(const ICLTensor *input, ICLTensor *output); }; @@ -58,10 +58,10 @@ public: CLLogits1DShiftExpSumKernel &operator=(CLLogits1DShiftExpSumKernel &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[in] max Max values tensor. Matching input type and channel number. - * @param[out] output Destination tensor. Matching input type and channel number. - * @param[out] sum Sum of 1D logits tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/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 */ void configure(const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum); @@ -91,9 +91,9 @@ public: CLLogits1DNormKernel &operator=(CLLogits1DNormKernel &&) = default; /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16, F32. Number of channels must be 1. - * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Matching input type and channel number. - * @param[out] output Destination tensor. Matching input type and channel number. + * @param[in] input Source tensor. Data types supported: QS8/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: same as @p input */ void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output); |