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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-08-10 10:43:40 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | d60a6b9d7977c6bd63ff7c523bed84d42363898b (patch) | |
| tree | 4b1ef99dfd76883060688dcaadbadaaf5c14cf6d /arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h | |
| parent | 4e09b3839206254d0df56095ad0762718a764c9c (diff) | |
| download | ComputeLibrary-d60a6b9d7977c6bd63ff7c523bed84d42363898b.tar.gz | |
COMPMID-477 - Optimized CLNormalizationLayer
CLPixelWiseMultiplication has been removed within the function
Change-Id: Ibe7edd7921d5cef6ff68fdeeca89771129a8eaea
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84459
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h | 13 |
1 files changed, 5 insertions, 8 deletions
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h index 5eedc31486..5f8c9c9d07 100644 --- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h @@ -48,14 +48,12 @@ 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: 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. + * @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: QS8/QS16/F16/F32. + * @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); + void configure(const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; @@ -63,7 +61,6 @@ public: private: const ICLTensor *_input; - const ICLTensor *_squared_input; ICLTensor *_output; BorderSize _border_size; bool _is_in_map; |