diff options
| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2017-06-22 16:55:57 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
| commit | 6c928343b0fa2bf60ffdfe21aea28b598d742ed4 (patch) | |
| tree | 0a03b06b8329c734c250239112892ac070233481 /arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h | |
| parent | d5e65c71261fd42d3e69478507fbfcc8cf36befc (diff) | |
| download | ComputeLibrary-6c928343b0fa2bf60ffdfe21aea28b598d742ed4.tar.gz | |
COMPMID-413: Add support for QS8 and QS16 CLNormalizationLayer.
Change-Id: I1aaa9fb8d05796bbca9cfae584e084646552bb71
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80155
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h index 132fcc4a12..5eedc31486 100644 --- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h @@ -49,10 +49,10 @@ public: /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], - * and an optional 4th dimension for batch of inputs. Data types supported: F16, F32. - * @param[in] squared_input Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], - * Data types should match the input type. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types should match the input type. + * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/F16/F32. + * @param[in] squared_input Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM]. + * Data types supported: same as @p input. + * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. */ void configure(const ICLTensor *input, const ICLTensor *squared_input, ICLTensor *output, NormalizationLayerInfo norm_info); |