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-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright (c) 2016-2018 ARM Limited.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#ifndef __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__
-#define __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__
-
-#include "arm_compute/runtime/IFunction.h"
-
-#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
-#include "arm_compute/core/NEON/kernels/NENormalizationLayerExKernel.h"
-#include "arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h"
-#include "arm_compute/runtime/MemoryGroup.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** Basic function to compute a normalization layer. This function calls the following NEON kernels:
- *
- * -# @ref NEPixelWiseMultiplicationKernel
- * -# @ref NEFillBorderKernel
- * -# @ref NENormalizationLayerKernelEx
- *
- */
-class NENormalizationLayerEx : public IFunction
-{
-public:
- /** Default constructor */
- NENormalizationLayerEx(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
- /** 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 type supported:
- * F16/F32
- * @param[out] output Destination with the same dimensions, data type and number of channels of
- * @p input
- * @param[in] norm_info Normalization layer information like the normalization type,
- * normalization size and other parameters.
- */
- void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
- /** Static function to check if given info will lead to a valid configuration of @ref
- * NENormalizationLayer
- *
- * @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 type supported:
- * F16/F32
- * @param[in] output Destination with the same dimensions, data type and number of channels of
- * @p input
- * @param[in] norm_info Normalization layer information like the normalization type, normalization
- * size and other parameters.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output,
- const NormalizationLayerInfo &norm_info);
-
- // Inherited methods overridden:
- void run() override;
-
-private:
- MemoryGroup _memory_group; /**< Function memory group */
- NENormalizationLayerExKernel _norm_kernel; /**< Normalization layer kernel */
- NEPixelWiseMultiplicationKernel _multiply_kernel; /**< Pixel multiplication kernel */
- NEFillBorderKernel _border_handler; /**< Kernel to handle borders */
- Tensor _input_squared; /**< The intermediate buffer which stores results of squaring input */
-};
-}
-#endif /* __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__ */