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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/IFunction.h"
#include "arm_compute/runtime/NEON/INEOperator.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 IFunction
{
public:
/** Default Constructor */
NEElementwiseMax();
/** Default Destructor */
~NEElementwiseMax();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseMax(const NEElementwiseMax &) = delete;
/** Default move constructor */
NEElementwiseMax(NEElementwiseMax &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseMax &operator=(const NEElementwiseMax &) = delete;
/** Default move assignment operator */
NEElementwiseMax &operator=(NEElementwiseMax &&);
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 IFunction
{
public:
/** Default Constructor */
NEElementwiseMin();
/** Default Destructor */
~NEElementwiseMin();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseMin(const NEElementwiseMin &) = delete;
/** Default move constructor */
NEElementwiseMin(NEElementwiseMin &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseMin &operator=(const NEElementwiseMin &) = delete;
/** Default move assignment operator */
NEElementwiseMin &operator=(NEElementwiseMin &&);
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 IFunction
{
public:
/** Default Constructor */
NEElementwiseSquaredDiff();
/** Default Destructor */
~NEElementwiseSquaredDiff();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseSquaredDiff(const NEElementwiseSquaredDiff &) = delete;
/** Default move constructor */
NEElementwiseSquaredDiff(NEElementwiseSquaredDiff &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseSquaredDiff &operator=(const NEElementwiseSquaredDiff &) = delete;
/** Default move assignment operator */
NEElementwiseSquaredDiff &operator=(NEElementwiseSquaredDiff &&);
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 IFunction
{
public:
/** Default Constructor */
NEElementwiseDivision();
/** Default Destructor */
~NEElementwiseDivision();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseDivision(const NEElementwiseDivision &) = delete;
/** Default move constructor */
NEElementwiseDivision(NEElementwiseDivision &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseDivision &operator=(const NEElementwiseDivision &) = delete;
/** Default move assignment operator */
NEElementwiseDivision &operator=(NEElementwiseDivision &&);
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 IFunction
{
public:
/** Default Constructor */
NEElementwisePower();
/** Default Destructor */
~NEElementwisePower();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwisePower(const NEElementwisePower &) = delete;
/** Default move constructor */
NEElementwisePower(NEElementwisePower &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwisePower &operator=(const NEElementwisePower &) = delete;
/** Default move assignment operator */
NEElementwisePower &operator=(NEElementwisePower &&);
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 IFunction
{
public:
/** Default Constructor */
NEElementwiseComparison();
/** Default Destructor */
~NEElementwiseComparison();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseComparison(const NEElementwiseComparison &) = delete;
/** Default move constructor */
NEElementwiseComparison(NEElementwiseComparison &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseComparison &operator=(const NEElementwiseComparison &) = delete;
/** Default move assignment operator */
NEElementwiseComparison &operator=(NEElementwiseComparison &&);
/** 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: U8.
* @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: U8.
* @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);
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 IFunction
{
public:
/** Default Constructor */
NEElementwiseComparisonStatic();
/** Default Destructor */
~NEElementwiseComparisonStatic();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseComparisonStatic(const NEElementwiseComparisonStatic &) = delete;
/** Default move constructor */
NEElementwiseComparisonStatic(NEElementwiseComparisonStatic &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEElementwiseComparisonStatic &operator=(const NEElementwiseComparisonStatic &) = delete;
/** Default move assignment operator */
NEElementwiseComparisonStatic &operator=(NEElementwiseComparisonStatic &&);
/** 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);
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** 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 experimental
{
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: F16/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: F16/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: U16/U32.
* @param[in] op Comparison Operation to be performed.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *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);
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 INEOperator
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[out] output Output tensor info. Data types supported: U16/U32.
*/
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *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);
// Inherited methods overridden:
MemoryRequirements workspace() const override;
};
/** 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 experimental
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEELEMENTWISEOPERATIONS_H */
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