1 /* 2 * Copyright (c) 2017-2020 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYER_H 25 #define ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYER_H 26 27 #include "arm_compute/runtime/IFunction.h" 28 29 #include "arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h" 30 #include "arm_compute/core/Types.h" 31 32 namespace arm_compute 33 { 34 class IGCTensor; 35 36 /** Basic function to run @ref GCNormalizePlanarYUVLayerKernel 37 * 38 * @note The function simulates a NormalizePlanarYUV layer. 39 * 40 * @deprecated This function is deprecated and is intended to be removed in 21.05 release 41 * 42 */ 43 class GCNormalizePlanarYUVLayer : public IFunction 44 { 45 public: 46 /** Default constructor */ 47 GCNormalizePlanarYUVLayer(); 48 /** Set the input and output tensors. 49 * 50 * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. 51 * Data types supported: F16. 52 * @param[out] output Destination tensor. Data type supported: same as @p input 53 * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input 54 * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels. 55 * Data types supported: same as @p input 56 */ 57 void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *std); 58 /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer 59 * 60 * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. 61 * Data types supported: F16/F32. 62 * @param[out] output Destination tensor info. Data type supported: same as @p input 63 * @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 64 * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels. 65 * Data types supported: same as @p input 66 * 67 * @return a status 68 */ 69 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std); 70 71 // Inherited methods overridden: 72 void run() override; 73 74 private: 75 GCNormalizePlanarYUVLayerKernel _norm_kernel; /**< NormalizePlanarYUV layer kernel to run */ 76 }; 77 } 78 #endif /* ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYER_H */ 79