1 /* 2 * Copyright (c) 2019-2020 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_NESPACETOBATCHLAYERKERNEL_H 25 #define ARM_COMPUTE_NESPACETOBATCHLAYERKERNEL_H 26 27 #include "arm_compute/core/Types.h" 28 #include "src/core/NEON/INEKernel.h" 29 30 namespace arm_compute 31 { 32 // Forward declaration 33 class ITensor; 34 35 /** Interface for the space to batch kernel */ 36 class NESpaceToBatchLayerKernel : public INEKernel 37 { 38 public: name()39 const char *name() const override 40 { 41 return "NESpaceToBatchLayerKernel"; 42 } 43 /** Default constructor */ 44 NESpaceToBatchLayerKernel(); 45 /** Prevent instances of this class from being copied (As this class contains pointers) */ 46 NESpaceToBatchLayerKernel(const NESpaceToBatchLayerKernel &) = delete; 47 /** Prevent instances of this class from being copied (As this class contains pointers) */ 48 NESpaceToBatchLayerKernel &operator=(const NESpaceToBatchLayerKernel &) = delete; 49 /** Allow instances of this class to be moved */ 50 NESpaceToBatchLayerKernel(NESpaceToBatchLayerKernel &&) = default; 51 /** Allow instances of this class to be moved */ 52 NESpaceToBatchLayerKernel &operator=(NESpaceToBatchLayerKernel &&) = default; 53 /** Default destructor */ 54 ~NESpaceToBatchLayerKernel() = default; 55 /** Initialise the kernel's inputs and output. 56 * 57 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. 58 * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32 59 * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32 60 * @param[out] output Tensor output. Data types supported: same as @p input 61 */ 62 void configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output); 63 /** Initialise the kernel's input and output. (Static block shape and paddings) 64 * 65 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. 66 * @param[in] block_shape_x Block shape x value. 67 * @param[in] block_shape_y Block shape y value. 68 * @param[in] padding_left The padding at the beginning of every dimension of the output tensor. 69 * @param[in] padding_right The padding at the end of every dimension of the output tensor. 70 * @param[out] output Tensor output. Data types supported: same as @p input 71 */ 72 void configure(const ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ITensor *output); 73 /** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayerKernel 74 * 75 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. 76 * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32 77 * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32 78 * @param[in] output Tensor output. Data types supported: same as @p input 79 * 80 * @return a status 81 */ 82 static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output); 83 /** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayerKernel (Static block shape and paddings) 84 * 85 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All. 86 * @param[in] block_shape_x Block shape x value. 87 * @param[in] block_shape_y Block shape y value. 88 * @param[in] padding_left The padding at the beginning of every dimension of the output tensor. 89 * @param[in] padding_right The padding at the end of every dimension of the output tensor. 90 * @param[in] output Tensor output. Data types supported: same as @p input 91 * 92 * @return a status 93 */ 94 static Status validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, const ITensorInfo *output); 95 96 // Inherited methods overridden: 97 void run(const Window &window, const ThreadInfo &info) override; 98 99 private: 100 const ITensor *_input; /**< Source tensor */ 101 const ITensor *_block_shape; /**< Block shape tensor for dynamic evaluation */ 102 const ITensor *_paddings; /**< Paddings tensor for dynamic evaluation */ 103 ITensor *_output; /**< Destination tensor */ 104 DataLayout _data_layout; /**< Data layout to be used at run-time */ 105 106 Size2D _padding_left; 107 int _block_shape_x; 108 int _block_shape_y; 109 }; 110 } // namespace arm_compute 111 #endif /* ARM_COMPUTE_NESPACETOBATCHLAYERKERNEL_H */ 112