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_CLNORMALIZATIONLAYERKERNEL_H 25 #define ARM_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H 26 27 #include "src/core/CL/ICLKernel.h" 28 29 namespace arm_compute 30 { 31 class ICLTensor; 32 33 /** Interface for the normalization layer kernel. 34 */ 35 class CLNormalizationLayerKernel : public ICLKernel 36 { 37 public: 38 /** Constructor */ 39 CLNormalizationLayerKernel(); 40 /** Prevent instances of this class from being copied (As this class contains pointers) */ 41 CLNormalizationLayerKernel(const CLNormalizationLayerKernel &) = delete; 42 /** Prevent instances of this class from being copied (As this class contains pointers) */ 43 CLNormalizationLayerKernel &operator=(const CLNormalizationLayerKernel &) = delete; 44 /** Default Move Constructor. */ 45 CLNormalizationLayerKernel(CLNormalizationLayerKernel &&) = default; 46 /** Default move assignment operator */ 47 CLNormalizationLayerKernel &operator=(CLNormalizationLayerKernel &&) = default; 48 /** Set the input and output tensors. 49 * 50 * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], 51 * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. 52 * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. 53 * Data layouts supported: same as @p input. 54 * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. 55 */ 56 void configure(const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info); 57 /** Set the input and output tensors. 58 * 59 * @param[in] compile_context The compile context to be used. 60 * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], 61 * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. 62 * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. 63 * Data layouts supported: same as @p input. 64 * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. 65 */ 66 void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info); 67 /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel 68 * 69 * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], 70 * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. 71 * @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. 72 * Data layouts supported: same as @p input. 73 * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. 74 * 75 * @return a status 76 */ 77 static Status validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info); 78 79 // Inherited methods overridden: 80 void run(const Window &window, cl::CommandQueue &queue) override; 81 BorderSize border_size() const override; 82 83 private: 84 const ICLTensor *_input; 85 ICLTensor *_output; 86 BorderSize _border_size; 87 bool _is_norm_across_width; 88 }; 89 } // namespace arm_compute 90 #endif /*ARM_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H */ 91