/* * 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_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H #define ARM_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H #include "arm_compute/core/CL/ICLKernel.h" namespace arm_compute { class ICLTensor; /** Interface for the normalization layer kernel. */ class CLNormalizationLayerKernel : public ICLKernel { public: /** Constructor */ CLNormalizationLayerKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ CLNormalizationLayerKernel(const CLNormalizationLayerKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ CLNormalizationLayerKernel &operator=(const CLNormalizationLayerKernel &) = delete; /** Default Move Constructor. */ CLNormalizationLayerKernel(CLNormalizationLayerKernel &&) = default; /** Default move assignment operator */ CLNormalizationLayerKernel &operator=(CLNormalizationLayerKernel &&) = default; /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. * Data layouts supported: same as @p input. * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. */ void configure(const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info); /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel * * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. * @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. * Data layouts supported: same as @p input. * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; BorderSize border_size() const override; private: const ICLTensor *_input; ICLTensor *_output; BorderSize _border_size; bool _is_norm_across_width; }; } // namespace arm_compute #endif /*ARM_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H */