diff options
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; |