| /* |
| * Copyright (c) 2017-2020 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_GCNORMALIZEPLANARYUVLAYER_H |
| #define ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYER_H |
| |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h" |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| class IGCTensor; |
| |
| /** Basic function to run @ref GCNormalizePlanarYUVLayerKernel |
| * |
| * @note The function simulates a NormalizePlanarYUV layer. |
| * |
| * @deprecated This function is deprecated and is intended to be removed in 21.05 release |
| * |
| */ |
| class GCNormalizePlanarYUVLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| GCNormalizePlanarYUVLayer(); |
| /** 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 number of input channels. |
| * 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 CLNormalizePlanarYUVLayer |
| * |
| * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. |
| * Data types supported: 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); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| GCNormalizePlanarYUVLayerKernel _norm_kernel; /**< NormalizePlanarYUV layer kernel to run */ |
| }; |
| } |
| #endif /* ARM_COMPUTE_GCNORMALIZEPLANARYUVLAYER_H */ |