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+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_CL_CROP_RESIZE_H__
+#define __ARM_COMPUTE_CL_CROP_RESIZE_H__
+
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/kernels/CLCopyKernel.h"
+#include "arm_compute/core/CL/kernels/CLCropKernel.h"
+#include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLScale.h"
+
+#include <cstdint>
+#include <memory>
+
+namespace arm_compute
+{
+// Forward Declarations
+class ITensor;
+
+/** Function to perform cropping and resizing */
+class CLCropResize : public IFunction
+{
+public:
+ /** Default constructor */
+ CLCropResize();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLCropResize(const CLCropResize &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLCropResize &operator=(const CLCropResize &) = delete;
+ /** Allow instances of this class to be moved */
+ CLCropResize(CLCropResize &&) = default;
+ /** Allow instances of this class to be moved */
+ CLCropResize &operator=(CLCropResize &&) = default;
+ /** Default destructor */
+ virtual ~CLCropResize() = default;
+
+ /** Configure kernel
+ *
+ * @note Supported tensor rank: up to 4
+ * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used.
+ * @note Start and end indices of boxes are inclusive.
+ *
+ * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: F32
+ * @param[in] boxes Tensor containing the boxes used to crop the images. Data type supported: F32
+ * @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding
+ * box in @p boxes will be applied to. Data type supported: F32
+ * @param[out] output Destination tensor containing a cropped and resized image for each box in @p boxes. Data type supported: F32
+ * @param[in] crop_size The dimensions that each cropped image will be resized to.
+ * @param[in] method The policy to be used when resizing image. Default is bilinear.
+ * @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0.
+ */
+ void configure(const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size,
+ InterpolationPolicy method = InterpolationPolicy::BILINEAR, float extrapolation_value = 0);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref NESlice
+ *
+ * @note Supported tensor rank: up to 4
+ * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used.
+ * @note Start and end indices of boxes are inclusive.
+ *
+ * @param[in] input Source tensor info containing N batches of 3D images to be cropped. Data type supported: U16/S16/U32/S32/F16/F32
+ * @param[in] boxes Tensor info for the tensor containing the boxes used to crop the images. Data type supported: F32
+ * @param[in] box_ind Tensor info for the one dimensional tensor containing the batch index of the 3D image in @p input
+ * that the corresponding box in @p boxes will be applied to. Data type supported: F32
+ * @param[in] output Tensor info for the destination tensor containing a cropped and resized image for each box in @p boxes.
+ * Data type supported: F32
+ * @param[in] crop_size The dimensions that each cropped image will be resized to.
+ * @param[in] method The policy to be used when resizing image. Default is bilinear.
+ * @param[in] extrapolation_value Value to be used for values outside of the image for cropping and resizing. Default is 0.
+ *
+ * @return A status
+ */
+ static Status validate(const ITensorInfo *input, ITensorInfo *boxes, ITensorInfo *box_ind, const ITensorInfo *output,
+ Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value);
+
+ void run() override;
+
+ const ICLTensor *_input;
+ ICLTensor *_boxes;
+ ICLTensor *_box_ind;
+ ICLTensor *_output;
+ size_t _num_boxes;
+ InterpolationPolicy _method;
+ float _extrapolation_value;
+
+ std::unique_ptr<CLScale[]> _scale;
+ std::unique_ptr<CLCopyKernel[]> _copy;
+ std::unique_ptr<CLTensor[]> _crop_results{ nullptr };
+ std::unique_ptr<CLTensor[]> _scaled_results{ nullptr };
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CL_CROP_RESIZE_H__ */