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/*
* Copyright (c) 2018-2020 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_CLNORMALIZEPLANARYUVLAYER_H
#define ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
#include <cstdint>
namespace arm_compute
{
class ICLTensor;
/** Basic function to run @ref CLNormalizePlanarYUVLayerKernel
*
* @note The function simulates a NormalizePlanarYUV layer.
*/
class CLNormalizePlanarYUVLayer : public ICLSimpleFunction
{
public:
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Destinationfeature tensor. Data type supported: same as @p input
* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
* Data types supported: Same as @p input
*/
void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Destinationfeature tensor. Data type supported: same as @p input
* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
* Data types supported: Same as @p input
*/
void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer
*
* @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Destination tensor info. Data type supported: same as @p input
* @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
* @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.
* Data types supported: Same as @p input
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std);
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H */
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