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/*
* Copyright (c) 2018-2021 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_NERANGE_H
#define ARM_COMPUTE_NERANGE_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/IFunction.h"
#include <memory>
namespace arm_compute
{
class ITensor;
class ITensorInfo;
class NERangeKernel;
/** Basic function to run @ref NERangeKernel
*
* @note The tensor data type for the output must be U8/S8/U16/S16/U32/S32/F16/F32.
* @note The function performs generates a sequence with the given start, end and step.
*
*/
class NERange : public IFunction
{
public:
/** Default constructor */
NERange();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NERange(const NERange &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NERange &operator=(const NERange &) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NERange(NERange &&) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NERange &operator=(NERange &&) = delete;
/** Default destructor */
~NERange();
/** Initialize the kernel's start, end, step and output tensor.
*
* Valid data layouts:
* - All
*
* Valid data type configurations:
* |dst |
* |:---------|
* |U8 |
* |S8 |
* |U16 |
* |S16 |
* |U32 |
* |S32 |
* |F16 |
* |F32 |
*
* @param[out] output Output tensor. Data types supported: U8/S8/U16/S16/U32/S32/F16/F32.
* @param[in] start The starting value of the sequence.
* @param[in] end The ending (not including) value of the sequence.
* @param[in] step The gap between each pair of values in the sequence. Default is 1.
*/
void configure(ITensor *output, float start, float end, float step = 1.f);
/** Static function to check if given info will lead to a valid configuration of @ref NERange
*
* @param[in] output Output tensor info. Data types supported: U8/S8/U16/S16/U32/S32/F16/F32.
* @param[in] start The starting value of the sequence.
* @param[in] end The ending (not including) value of the sequence.
* @param[in] step The gap between each pair of values in the sequence. Default is 1.
*
* @return a status
*/
static Status validate(const ITensorInfo *output, float start, float end, float step = 1.f);
// Inherited methods overridden:
void run() override;
private:
std::unique_ptr<NERangeKernel> _kernel;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NERANGE_H */