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/*
* Copyright (c) 2018-2020 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_NEELEMENTWISEOPERATIONS_H
#define ARM_COMPUTE_NEELEMENTWISEOPERATIONS_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/INESimpleFunction.h"
namespace arm_compute
{
class ITensor;
/** Basic function to run @ref NEArithmeticOperationKernel for max
*
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @note The function performs a max operation between two tensors.
*/
class NEElementwiseMax : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for max
*
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
};
/** Basic function to run @ref NEArithmeticOperationKernel for min
*
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @note The function performs a min operation between two tensors.
*/
class NEElementwiseMin : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for min
*
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
};
/** Basic function to run @ref NEArithmeticOperationKernel for squared difference
*
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
*/
class NEElementwiseSquaredDiff : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for squared difference
*
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
};
/** Basic function to run @ref NEArithmeticOperationKernel for division
*
* @note The tensor data type for the inputs must be F16/F32.
* @note The function performs a squared different operation between two tensors (i.e., out[i] = in1[i] / in2[i])
*/
class NEElementwiseDivision : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for division
*
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
};
/** Basic function to run @ref NEArithmeticOperationKernel for power
*
* @note The tensor data type for the inputs must be F16/F32.
* @note The function performs a elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
* @note For an exponent that is a float, this function will only work with a positive base.
*/
class NEElementwisePower : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for power
*
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
};
/** Basic function to run @ref NEComparisonOperationKernel.
*
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @note The function performs a comparison operation between two tensors.
*/
class NEElementwiseComparison : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: U16/U32.
* @param[in] op Comparison Operation to be performed.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, ComparisonOperation op);
/** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel
*
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: U16/U32.
* @param[in] op Comparison Operation to be performed.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op);
};
/** Basic function to run @ref NEComparisonOperationKernel
*
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @note The function performs a comparison operation between two tensors.
*/
template <ComparisonOperation op>
class NEElementwiseComparisonStatic : public INESimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
* @param[out] output Output tensor. Data types supported: U16/U32.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel
*
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: U16/U32.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
};
/** Basic function to run equal comparison. */
using NEEqual = NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
/** Basic function to run not equal comparison. */
using NENotEqual = NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
/** Basic function to run greater comparison. */
using NEGreater = NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
/** Basic function to run greater-equal comparison. */
using NEGreaterEqual = NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
/** Basic function to run less comparison. */
using NELess = NEElementwiseComparisonStatic<ComparisonOperation::Less>;
/** Basic function to run less-equal comparison. */
using NELessEqual = NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEELEMENTWISEOPERATIONS_H */
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