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/*
* Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_CLL2NORMALIZELAYERKERNEL_H
#define ARM_COMPUTE_CLL2NORMALIZELAYERKERNEL_H
#include "arm_compute/core/CL/ICLKernel.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for performing a L2 normalize on a given axis given the square sum of it in this axis */
class CLL2NormalizeLayerKernel : public ICLKernel
{
public:
/** Default constructor */
CLL2NormalizeLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLL2NormalizeLayerKernel(const CLL2NormalizeLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLL2NormalizeLayerKernel &operator=(const CLL2NormalizeLayerKernel &) = delete;
/** Allow instances of this class to be moved */
CLL2NormalizeLayerKernel(CLL2NormalizeLayerKernel &&) = default;
/** Allow instances of this class to be moved */
CLL2NormalizeLayerKernel &operator=(CLL2NormalizeLayerKernel &&) = default;
/** Default destructor */
~CLL2NormalizeLayerKernel() = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
* @param[in] sum Sum values tensor. Data types supported: same as @p input.
* Sum will have the same number of dimensions as input.
* @param[out] output Destination tensor. Data types and data layouts supported: Same as @p input.
* Output will have the same number of dimensions as input.
* @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
* @param[in] epsilon Lower bound value for the normalization.
*/
void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon);
/** Static function to check if given info will lead to a valid configuration of @ref CLL2NormalizeLayerKernel.
*
* @param[in] input Source tensor info. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
* @param[in] sum Sum values tensor info. Data types supported: same as @p input.
* Sum will have the same number of dimensions as input.
* @param[in] output Destination tensor info. Data types and data layouts supported: Same as @p input.
* Output will have the same number of dimensions as input.
* @param[in] axis Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
* @param[in] epsilon Lower bound value for the normalization.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output, int axis, float epsilon);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
const ICLTensor *_sum;
ICLTensor *_output;
unsigned int _actual_axis;
float _epsilon;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_CLL2NORMALIZELAYERKERNEL_H */
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