81 lines
4.3 KiB
C
81 lines
4.3 KiB
C
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/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H
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#define ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
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#include <cstdint>
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namespace arm_compute
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{
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class CLCompileContext;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to run @ref CLNormalizePlanarYUVLayerKernel
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*
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* @note The function simulates a NormalizePlanarYUV layer.
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*/
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class CLNormalizePlanarYUVLayer : public ICLSimpleFunction
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{
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public:
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/** Set the input and output tensors.
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*
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* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
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* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
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* @param[out] output Destinationfeature tensor. Data type supported: same as @p input
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* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
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* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
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* Data types supported: Same as @p input
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*/
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void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
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/** Set the input and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
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* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
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* @param[out] output Destinationfeature tensor. Data type supported: same as @p input
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* @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
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* @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
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* Data types supported: Same as @p input
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*/
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void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
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/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer
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*
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* @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
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* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
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* @param[out] output Destination tensor info. Data type supported: same as @p input
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* @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
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* @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.
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* Data types supported: Same as @p input
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std);
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H */
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