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_CLNORMALIZATIONLAYER_H 25 #define ARM_COMPUTE_CLNORMALIZATIONLAYER_H 26 27 #include "arm_compute/core/Types.h" 28 #include "arm_compute/runtime/CL/CLTensor.h" 29 #include "arm_compute/runtime/IFunction.h" 30 31 #include <memory> 32 33 namespace arm_compute 34 { 35 class CLCompileContext; 36 class CLFillBorderKernel; 37 class CLNormalizationLayerKernel; 38 class ICLTensor; 39 class ITensorInfo; 40 41 /** Basic function to compute a normalization layer. This function calls the following CL kernels: 42 * 43 * -# @ref CLFillBorderKernel 44 * -# @ref CLNormalizationLayerKernel 45 * 46 */ 47 class CLNormalizationLayer : public IFunction 48 { 49 public: 50 /** Default constructor */ 51 CLNormalizationLayer(); 52 /** Prevent instances of this class from being copied */ 53 CLNormalizationLayer(const CLNormalizationLayer &) = delete; 54 /** Prevent instances of this class from being copied */ 55 CLNormalizationLayer &operator=(const CLNormalizationLayer &) = delete; 56 /** Prevent instances of this class to be moved */ 57 CLNormalizationLayer(CLNormalizationLayer &&) = delete; 58 /** Prevent instances of this class to be moved */ 59 CLNormalizationLayer &operator=(CLNormalizationLayer &&) = delete; 60 /** Default destructor */ 61 ~CLNormalizationLayer(); 62 /** Set the input and output tensors. 63 * 64 * @param[in, out] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], 65 * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32 (Written to by the border handler). 66 * Data layouts supported: NCHW/NHWC. 67 * @param[out] output Destination tensor. Dimensions, data type and number of channels must match the input ones. 68 * Data types supported: same as @p input. Data layouts supported: same as @p input. 69 * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. 70 */ 71 void configure(ICLTensor *input, ICLTensor *output, const NormalizationLayerInfo &norm_info); 72 /** Set the input and output tensors. 73 * 74 * @param[in] compile_context The compile context to be used. 75 * @param[in, out] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], 76 * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32 (Written to by the border handler). 77 * Data layouts supported: NCHW/NHWC. 78 * @param[out] output Destination tensor. Dimensions, data type and number of channels must match the input ones. 79 * Data types supported: same as @p input. Data layouts supported: same as @p input. 80 * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. 81 */ 82 void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const NormalizationLayerInfo &norm_info); 83 /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayer 84 * 85 * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], 86 * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. 87 * @param[in] output Destination tensor. Dimensions, data type and number of channels must match the input ones. 88 * Data layouts supported: same as @p input. 89 * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. 90 * 91 * @return a status 92 */ 93 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info); 94 95 // Inherited methods overridden: 96 void run() override; 97 98 private: 99 std::unique_ptr<CLNormalizationLayerKernel> _norm_kernel; /**< Normalization layer kernel to run */ 100 std::unique_ptr<CLFillBorderKernel> _border_handler; /**< Kernel to handle borders */ 101 }; 102 } 103 #endif /* ARM_COMPUTE_CLNORMALIZATIONLAYER_H */ 104