/* * 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_COMPUTEH #define ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYERKERNEL_H #include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" namespace arm_compute { class IGCTensor; /** Interface for the NormalizePlanarYUV layer kernel. */ class GCNormalizePlanarYUVLayerKernel : public IGCKernel { public: /** Constructor */ GCNormalizePlanarYUVLayerKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ GCNormalizePlanarYUVLayerKernel(const GCNormalizePlanarYUVLayerKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ GCNormalizePlanarYUVLayerKernel &operator=(const GCNormalizePlanarYUVLayerKernel &) = delete; /** Default Move Constructor. */ GCNormalizePlanarYUVLayerKernel(GCNormalizePlanarYUVLayerKernel &&) = default; /** Default move assignment operator */ GCNormalizePlanarYUVLayerKernel &operator=(GCNormalizePlanarYUVLayerKernel &&) = default; /** Default destructor */ ~GCNormalizePlanarYUVLayerKernel() = default; /** 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: F16. * @param[out] output Destination 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 feature maps [FM]. * Data types supported: same as @p input */ void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *std); /** Static function to check if given info will lead to a valid configuration of @ref GCNormalizePlanarYUVLayerKernel * * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. * Data types supported: F16. * @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); // Inherited methods overridden: void run(const Window &window) override; private: const IGCTensor *_input; IGCTensor *_output; const IGCTensor *_mean; const IGCTensor *_std; }; } #endif /*ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYERKERNEL_H */