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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_CLNORMALIZATIONLAYEREXKERNEL_H__
#define __ARM_COMPUTE_CLNORMALIZATIONLAYEREXKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for the normalization layer kernel.
*/
class CLNormalizationLayerExKernel : public ICLKernel
{
public:
/** Constructor */
CLNormalizationLayerExKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLNormalizationLayerExKernel(const CLNormalizationLayerExKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLNormalizationLayerExKernel &operator=(const CLNormalizationLayerExKernel &) = delete;
/** Default Move Constructor. */
CLNormalizationLayerExKernel(CLNormalizationLayerExKernel &&) = default;
/** Default move assignment operator */
CLNormalizationLayerExKernel &operator=(CLNormalizationLayerExKernel &&) = default;
/** 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[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, ICLTensor *output, NormalizationLayerInfo norm_info);
/** Static function to check if given info will lead to a valid configuration of @ref
* CLNormalizationLayerKernel
*
* @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] 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.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output,
NormalizationLayerInfo norm_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
BorderSize border_size() const override;
private:
const ICLTensor *_input;
ICLTensor *_output;
BorderSize _border_size;
bool _is_in_map;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLNORMALIZATIONLAYEREXKERNEL_H__ */
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