1 /* 2 * Copyright (c) 2019-2021 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_CL_CROP_RESIZE_H 25 #define ARM_COMPUTE_CL_CROP_RESIZE_H 26 27 #include "arm_compute/core/CL/ICLTensor.h" 28 29 #include "arm_compute/runtime/CL/CLTensor.h" 30 #include "arm_compute/runtime/CL/functions/CLCopy.h" 31 #include "arm_compute/runtime/CL/functions/CLCrop.h" 32 #include "arm_compute/runtime/CL/functions/CLFill.h" 33 #include "arm_compute/runtime/CL/functions/CLScale.h" 34 35 #include <cstdint> 36 #include <memory> 37 38 namespace arm_compute 39 { 40 // Forward Declarations 41 class CLCompileContext; 42 class ITensor; 43 class ITensorInfo; 44 45 /** Function to perform cropping and resizing */ 46 class CLCropResize : public IFunction 47 { 48 public: 49 /** Default constructor */ 50 CLCropResize(); 51 /** Prevent instances of this class from being copied (As this class contains pointers) */ 52 CLCropResize(const CLCropResize &) = delete; 53 /** Prevent instances of this class from being copied (As this class contains pointers) */ 54 CLCropResize &operator=(const CLCropResize &) = delete; 55 /** Allow instances of this class to be moved */ 56 CLCropResize(CLCropResize &&) = default; 57 /** Allow instances of this class to be moved */ 58 CLCropResize &operator=(CLCropResize &&) = default; 59 /** Default destructor */ 60 ~CLCropResize(); 61 62 /** Configure kernel 63 * 64 * Valid data layouts: 65 * - NHWC 66 * 67 * Valid data type configurations: 68 * |src0 |src1 |src2 |dst | 69 * |:--------|:--------|:------|:--------| 70 * |All |F32 |F32 |F32 | 71 * 72 * @note Supported tensor rank: up to 4 73 * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. 74 * @note Start and end indices of boxes are inclusive. 75 * 76 * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: All 77 * @param[in] boxes Tensor containing the boxes used to crop the images. It has to be known before configuration. Data type supported: F32 78 * @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding 79 * box in @p boxes will be applied to. It has to be known before configuration. Data type supported: F32 80 * @param[out] output Destination tensor containing a cropped and resized image for each box in @p boxes. Data type supported: F32 81 * @param[in] crop_size The dimensions that each cropped image will be resized to. 82 * @param[in] method The policy to be used when resizing image. Default is bilinear. 83 * @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0. 84 */ 85 void configure(const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size, 86 InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0); 87 /** Configure kernel 88 * 89 * @note Supported tensor rank: up to 4 90 * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. 91 * @note Start and end indices of boxes are inclusive. 92 * 93 * @param[in] compile_context The compile context to be used. 94 * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: All 95 * @param[in] boxes Tensor containing the boxes used to crop the images. It has to be known before configuration. Data type supported: F32 96 * @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding 97 * box in @p boxes will be applied to. It has to be known before configuration. Data type supported: F32 98 * @param[out] output Destination tensor containing a cropped and resized image for each box in @p boxes. Data type supported: F32 99 * @param[in] crop_size The dimensions that each cropped image will be resized to. 100 * @param[in] method The policy to be used when resizing image. Default is bilinear. 101 * @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0. 102 */ 103 void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size, 104 InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0); 105 106 /** Static function to check if given info will lead to a valid configuration of @ref NESlice 107 * 108 * @note Supported tensor rank: up to 4 109 * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. 110 * @note Start and end indices of boxes are inclusive. 111 * 112 * @param[in] input Source tensor info containing N batches of 3D images to be cropped. Data type supported: All 113 * @param[in] boxes Tensor info for the tensor containing the boxes used to crop the images. Data type supported: F32 114 * @param[in] box_ind Tensor info for the one dimensional tensor containing the batch index of the 3D image in @p input 115 * that the corresponding box in @p boxes will be applied to. Data type supported: F32 116 * @param[in] output Tensor info for the destination tensor containing a cropped and resized image for each box in @p boxes. 117 * Data type supported: F32 118 * @param[in] crop_size The dimensions that each cropped image will be resized to. 119 * @param[in] method The policy to be used when resizing image. Default is bilinear. 120 * @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0. 121 * 122 * @return A status 123 */ 124 static Status validate(const ITensorInfo *input, ITensorInfo *boxes, ITensorInfo *box_ind, const ITensorInfo *output, 125 Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); 126 127 void run() override; 128 129 const ICLTensor *_input; 130 ICLTensor *_boxes; 131 ICLTensor *_box_ind; 132 ICLTensor *_output; 133 size_t _num_boxes; 134 InterpolationPolicy _method; 135 float _extrapolation_value; 136 137 std::vector<std::unique_ptr<CLScale>> _scale; 138 std::vector<std::unique_ptr<CLCopy>> _copy; 139 std::vector<std::unique_ptr<CLTensor>> _crop_results; 140 std::vector<std::unique_ptr<CLTensor>> _scaled_results; 141 142 std::vector<std::unique_ptr<IFunction>> _internal_functions; 143 }; 144 } // namespace arm_compute 145 #endif /* ARM_COMPUTE_CL_CROP_RESIZE_H */ 146