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