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/*
* Copyright (c) 2019-2021 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_NEON_CROP_KERNEL_H
#define ARM_COMPUTE_NEON_CROP_KERNEL_H
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Types.h"
#include "src/core/NEON/INEKernel.h"
namespace arm_compute
{
// Forward declarations
class ITensor;
/** Interface for the kernel to perform tensor cropping */
class NECropKernel : public INEKernel
{
public:
const char *name() const override
{
return "NECropKernel";
}
/** Default constructor */
NECropKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NECropKernel(const NECropKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NECropKernel &operator=(const NECropKernel &) = delete;
/** Allow instances of this class to be moved */
NECropKernel(NECropKernel &&) = default;
/** Allow instances of this class to be moved */
NECropKernel &operator=(NECropKernel &&) = default;
/** Default destructor */
~NECropKernel() = default;
/** Configure kernel
*
* @note Supported tensor rank: up to 4
* @note Padding not supported.
*
* @param[in] input Source tensor. Data type supported: U8/U16/S16/U32/S32/F16/F32. Data layouts supported: NHWC.
* @param[in] crop_boxes Tensor containing all possible boxes used to crop the image, each represented by 4 normalized values.
* Data type supported: F32
* @param[in] box_ind One dimensional tensor mapping the @p crop_box_ind to the index of the 3D image in @p input.
* Data type supported: F32
* @param[out] output Destination tensor. Data type supported: F32
* @param[in] crop_box_ind Index of the crop box to be used from @p crop_boxes. Default is 0.
* @param[in] extrapolation_value Value to be used for values outside of the image. Default is 0.
*/
void configure(const ITensor *input, const ITensor *crop_boxes, const ITensor *box_ind, ITensor *output, uint32_t crop_box_ind = 0, float extrapolation_value = 0);
/** Static function to check if given info will lead to a valid configuration of @ref CLStridedSliceKernel
*
* @note Supported tensor rank: up to 4
* @note Padding not supported.
*
* @param[in] input Source tensor info. Data type supported: U8/U16/S16/U32/S32/F16/F32. Data layouts supported: NHWC.
* @param[in] crop_boxes Tensor info for tensor containing all possible boxes used to crop the image. Data type supported: F32
* @param[in] box_ind Tensor info for the one dimensional tensor mapping the @p crop_box_ind to the index of the 3D image
* in @p input. Data type supported: F32
* @param[in] output Destination tensor. Data type supported: F32
* @param[in] crop_box_ind Index of the crop box to be used from @p crop_boxes. Default is 0.
* @param[in] extrapolation_value Value to be used for values outside of the image. Default is 0.
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *crop_boxes, const ITensorInfo *box_ind, const ITensorInfo *output, uint32_t crop_box_ind = 0, float extrapolation_value = 0);
/** Configure output tensor's shape as this can only be determined at runtime. */
void configure_output_shape();
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
/** Function to use for in bounds crop for the particular tensor types passed to configure() */
using InBoundsCropFunction = void(const ITensor *, const ITensor *, float *, Coordinates, int32_t, int32_t, int32_t, bool, bool);
private:
const ITensor *_input;
const ITensor *_crop_boxes;
const ITensor *_box_ind;
ITensor *_output;
Coordinates _start;
Coordinates _end;
uint32_t _crop_box_ind;
float _extrapolation_value;
/** The number of rows out of bounds at the start and end of output. */
std::array<uint32_t, 2> _rows_out_of_bounds;
/** The number of columns out of bounds at the start and end of output. */
std::array<uint32_t, 2> _cols_out_of_bounds;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEON_CROP_KERNEL_H */