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Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h13
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;